182 Artificial Intelligence (AI) Jobs in Bangalore (Bengaluru) | Artificial Intelligence (AI) Job openings in Bangalore (Bengaluru)

Job Description: Python + AI

Company: Wissen Technology

Location: Bangalore, India

Experience: 5+Years

Employment Type: Full-Time

Role: Python + AI / Data Engineer

About the Role

Wissen Technology is looking for experienced Python + AI / Data Engineering professionals to join our technology team in Bangalore. The ideal candidate will have strong hands-on experience in Python, Artificial Intelligence, Generative AI, PySpark, Snowflake, and data pipeline development.

The candidate should be capable of designing and developing scalable data and AI solutions, building robust ETL/ELT pipelines, working with large datasets, and integrating AI/ML capabilities into enterprise applications.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and PySpark.
• Develop robust ETL/ELT pipelines for processing large volumes of structured and unstructured data.
• Build and optimize data processing solutions using Apache Spark / PySpark.
• Develop data ingestion and transformation pipelines into Snowflake.
• Design and implement scalable Snowflake data models, tables, views, and SQL transformations.
• Work with batch and, where applicable, real-time data processing pipelines.
• Build and integrate AI and Generative AI solutions using Python.
• Develop LLM-based applications, RAG solutions, AI agents, and AI-powered services.
• Integrate AI models with enterprise data platforms and data pipelines.
• Develop REST APIs and microservices using FastAPI, Flask, or Django.
• Perform data cleansing, transformation, validation, and quality checks.
• Optimize PySpark jobs, SQL queries, Snowflake workloads, and data pipelines for performance and scalability.
• Implement data pipeline monitoring, logging, error handling, and alerting.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders.
• Participate in technical design, architecture, code reviews, and production support.
• Mentor junior engineers and contribute to engineering best practices.

Preferred Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related field.
• Experience working on enterprise-scale AI and data engineering projects.
• Experience combining Python + PySpark + Snowflake + AI/GenAI in production environments.
• Experience with Databricks is an advantage.
• Experience with AI Agents / Agentic AI and tool/function calling.
• Knowledge of distributed systems and cloud-native architecture.
• Experience leading technical initiatives or mentoring engineering teams.

Job Description: Tech Lead – AI & Technology

Role Title: Tech Lead – AI & Technology

Location: Bangalore, India – Fully On-site

Experience: 5+ Years

Employment Type: Full-time

About the Role

We are looking for an experienced and hands-on Tech Lead to lead a small engineering team and drive the development of AI-powered applications, internal technology platforms, and modern IT solutions. The Tech Lead will be responsible for technical direction, architecture, development, code quality, team management, and end-to-end delivery of technology projects. The ideal candidate should have strong programming experience, particularly in Python and ReactJS, along with practical experience working with AI/ML technologies.

1. Technical Leadership & Team Management

• Lead and mentor a team of developers and technical team members.
• Own technical delivery across multiple projects and initiatives.
• Assign tasks, review progress, resolve technical blockers, and ensure timely delivery.
• Conduct code reviews and establish engineering best practices.
• Mentor team members and support their technical growth.

2. Software Development & Architecture

• Design and develop scalable, secure, and maintainable applications.
• Lead backend development using Python and frontend development using ReactJS.
• Define application architecture, technology choices, APIs, integrations, and development standards.
• Review technical designs and ensure high-quality implementation.
• Troubleshoot complex technical issues and drive effective solutions.

3. AI & Technology

• Lead the development and integration of AI-powered applications and solutions.
• Work with AI/ML models, APIs, LLMs, Generative AI, and related technologies.
• Evaluate emerging AI tools and technologies and identify opportunities for practical implementation.
• Collaborate with product and business teams to translate requirements into AI-enabled technology solutions.

4. Project Delivery

• Own the complete technology lifecycle from requirements and architecture to development, testing, deployment, and maintenance.
• Plan sprints, estimate development efforts, and track technical milestones.
• Work closely with cross-functional stakeholders to understand requirements and deliver solutions.
• Ensure projects meet timelines, quality standards, security requirements, and performance expectations.

5. Engineering Quality & Infrastructure

• Establish standards for coding, testing, documentation, version control, and deployment.
• Ensure applications are scalable, reliable, and secure. l Collaborate on cloud infrastructure, APIs, databases, CI/CD, and deployment processes.
• Identify opportunities to improve system performance and engineering efficiency.

Technical Skills – Must Have

• 5+ years of software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS / React.
• Experience leading or managing technical team members.
• Strong understanding of AI/ML and Generative AI technologies.
• Experience with APIs, databases, Git, and software development lifecycle.
• Strong understanding of application architecture and system design.
• Experience building and deploying production-grade applications.

Technical Skills – Good to Have

• Experience with LLMs, RAG, AI agents, or Generative AI applications.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, CI/CD, and DevOps practices.
• Experience integrating third-party AI APIs and services.
• Experience working in startups or fast-paced technology environments.

What We Are Looking For

• Strong technical ownership and problem-solving ability.
• Ability to balance hands-on coding with team leadership.
• Excellent communication and stakeholder management skills.
• Ability to mentor developers and drive accountability within the team
• Strong interest in AI and emerging technologies.
• A proactive, ownership-driven approach with the ability to work in a fast-paced environment.

Why Join Us?

• Work on AI-powered technology with meaningful social impact.
• Lead a small, high-ownership technology team.
• Work across AI, software engineering, and modern IT infrastructure.
• Opportunity to shape technology architecture and engineering practices from the ground up.
• Collaborative and fast-moving environment with significant technical ownership.

About the Role

We are looking for a high-energy, research-driven, and execution-focused Sales Development Representative (SDR) to build qualified sales pipeline through outbound prospecting and lead qualification.

This role is responsible for identifying target accounts, engaging decision-makers through personalized outreach, qualifying opportunities, and scheduling meetings for the Account Executive team. You will play a critical role in building the top of Comprinno's sales funnel and creating predictable pipeline growth.

The ideal candidate is persistent, curious, highly organized, and comfortable engaging technology leaders through multiple communication channels. You should enjoy researching companies, uncovering business opportunities, and creating meaningful conversations that translate into qualified sales opportunities.

Key Responsibilities:

Prospecting & Account Research

• Identify target accounts aligned with Comprinno's Ideal Customer Profile (ICP).
• Research companies, industries, and technology landscapes to identify potential cloud transformation opportunities.
• Map key decision-makers including Founders, CTOs, CIOs, VP Engineering, Engineering Managers, and IT leaders.
• Build and maintain high-quality prospect lists using CRM, LinkedIn, Apollo, Clay, and other prospecting tools.

Outbound Prospecting

• Execute structured outbound campaigns through:
• Email
• Cold Calling
• LinkedIn
• WhatsApp
• Personalized multi-channel outreach
• Personalize outreach based on customer industry, business priorities, and technology landscape.
• Execute disciplined follow-up cadences to maximize response and engagement rates.
• Continuously improve messaging based on campaign performance and customer feedback.

Lead Qualification

• Conduct initial discovery conversations to understand customer challenges, priorities, and technology initiatives.
• Qualify prospects based on predefined qualification frameworks and buying intent.
• Identify opportunities related to:
• Cloud Migration
• Cloud Modernization
• Managed Services
• Security
• Data & AI
• Generative AI
• Schedule qualified meetings for the Account Executive team with comprehensive handover notes.

Pipeline Contribution

• Consistently achieve weekly and monthly outreach, meeting, and SQL targets.
• Maintain high-quality pipeline creation across startup, ISV, mid-market, and enterprise segments.
• Monitor personal conversion metrics and continuously improve performance.
• Support Account Executives in achieving pipeline and revenue objectives.

CRM & Sales Operations

• Maintain accurate CRM records for all prospect interactions.
• Update lead status, qualification notes, follow-up actions, and meeting outcomes.
• Ensure excellent CRM hygiene and adherence to sales processes.
• Track personal KPIs and activity metrics.

Collaboration & Continuous Learning

• Work closely with Marketing to support outbound campaigns and account-based initiatives.
• Collaborate with Account Executives, Presales Engineers, and Sales Leadership to improve lead quality.
• Share customer insights, objections, and competitive intelligence.
• Participate in coaching sessions, role plays, sales enablement, and product training.

Required Qualifications & Skills

• Bachelor's degree in Business, Engineering, Technology, Marketing, or related disciplines.
• 1–3 years of experience as an SDR or BDR
• Experience working in IT Services, Cloud Consulting, SaaS, or Technology Services organizations.
• Proven experience booking qualified meetings for the India market.
• Excellent written and verbal communication skills in English.
• Confidence in cold calling and outbound prospecting.
• Strong research and account-mapping abilities.
• Effective objection-handling and relationship-building skills.
• Strong attention to detail, CRM discipline, and process orientation.
• High energy, resilience, and execution focus.

Desired Qualifications & Skills

• Experience using SDR platforms such as Apollo, Clay, Outreach, Salesloft, HubSpot, LinkedIn Sales Navigator, or similar tools.
• Familiarity with AI-assisted prospecting, research, and outreach tools.
• Understanding of Cloud Computing, DevOps, AI, Cybersecurity, or Managed Services.
• Knowledge of B2B sales qualification methodologies.
• AWS Cloud Practitioner certification (or willingness to pursue certification).

What We're Looking For

• Strong curiosity and research mindset.
• High persistence and resilience.
• Excellent communication and listening skills.
• Strong organizational and time-management abilities.
• High ownership and accountability.
• Coachable with a continuous learning mindset.
• Ability to thrive in a fast-paced, target-driven environment.

What Success Looks Like

• Consistent achievement of weekly and monthly outreach, meeting, and SQL targets.
• High-quality lead qualification with strong acceptance rates from Account Executives.
• Excellent CRM hygiene and process compliance.
• Continuous improvement in response rates, meeting conversion, and qualification quality.
• Strong collaboration with Marketing, Presales, and Sales teams.
• Meaningful contribution to predictable pipeline generation and revenue growth.

Why Join Comprinno

• Work at the forefront of cloud innovation with one of the leading AWS consulting partners in the APJ region.
• Gain exposure to Cloud, DevOps, Managed Services, Data Analytics, and AI solution selling.
• Learn directly from experienced Sales Leaders, Presales Engineers, and Solution Architects.
• Accelerate your growth through structured coaching, AWS certifications, and continuous learning.
• Build expertise in enterprise technology sales and consultative selling.
• Join a collaborative, high-performance culture that values ownership, innovation, and customer success.

• Develop python-based automation for large data sets data analysis for vulnerability management reporting.
• Leverage machine learning in the process as required.
• Develop Prompts to automate test data extraction process from databases.
• Provide technical expertise through a hands-on approach to teams and projects.
• Experience with one or more general purpose programming languages including but not limited to: Java, Python, R or equivalent
• Experience and knowledge in designing, building, and deploying multi layered application Infrastructure involving On-premises & AWS Cloud platform using services BedRock LLM models.
• Handle design, definition, planning and development.
• 100% adherence to architectural and development best practices including the use of standard architectures, proper use of code management, document design and design artifacts and conduct design/code reviews.
• Create optimization plans to innovate, shift-left, and mitigate gaps.
• Apply cloud concepts and capabilities to deliver testing for cloud-hosted apps.
• Report succinct testing goals and results to the leadership.
• Train and educate various teams on SV ideas and expectations.
• Expand responsibilities to drive test data, test environment, and service virtualization strategies.

About the Role

We're looking for a creative graphic designer who blends traditional design skill with AI tools to produce fast, high-quality visual content. Your specialty should include one or more of: caricature art, sound matching/audio syncing for video content, and motion graphics/animation.

What You'll Do

- Create caricature-style illustrations and character art

- Design and edit motion graphics/animated content

- Sync sound/audio to visual content (reels, videos, ads)

- Use AI design tools (e.g., Midjourney, Runway, Adobe Firefly, CapCut AI, etc.) to speed up and enhance creative output

- Collaborate with the team on brand and marketing visuals

What We're Looking For

- Proven experience with AI-assisted design tools

- A strong portfolio showcasing caricature, motion graphics, or sound-matched video work

- Open to learning marketing

- Comfortable working from our HSR Layout office

We are looking for a highly strategic and execution-oriented Senior Product Manager / Product Manager – CMS & Digital Experience Platform to drive the evolution of Milestone’s AI-first CMS and Digital Experience capabilities.

This role requires a product leader who can deeply understand enterprise customer problems, market trends, AI-led content evolution, SEO/GEO dynamics, Personalization, and modern web experience requirements while partnering closely with Engineering, Design, GTM, Customer Success, and Enterprise Customers.

You will own product strategy, roadmap prioritization, customer outcomes, adoption metrics, Customer communication, and feature execution for our next-generation CMS platform.

Problems We Are Looking to Solve

• Enterprise-scale AI-driven content management
• Discoverability across Search and Generative AI ecosystems
• AI-powered content optimization and governance
• SEO/GEO-native digital experiences
• Conversion-focused, hyper-personalized customer journeys

Key Responsibilities

Strategic Vision & Leadership

• Define and execute product vision and roadmap\
• Drive AI-first product innovation
• Conduct market and competitive analysis
• Translate customer pain points into scalable solutions
• Understand customer churn and derive strategies to reduce future churn

Operational Excellence & Growth

• Own product lifecycle from ideation to launch
• Create PRDs, user stories, and documentation
• Drive roadmap execution with Engineering teams
• Monitor adoption, engagement, and retention KPIs

Innovation & Culture

• Champion AI-native product thinking
• Foster innovation and accountability culture
• Evangelize product capabilities internally and externally
• Stay ahead of CMS, Digital asset management and AI trends

Cross-Functional Alignment

• Collaborate with Engineering, UX, Marketing, Sales, and CS teams
• Partner with Product Marketing for GTM initiatives
• Support enterprise sales cycles and customer workshops

Customer Impact

• Act as voice of the customer
• Improve customer adoption and success outcomes
• Ensure measurable business impact

Talent & Empowerment

• Mentor junior product team members
• Promote ownership and continuous learning
• Strengthen product management best practices

Ideal Candidate Profile

The ideal candidate is a customer-centric product leader with strong experience in B2B SaaS platforms, CMS technologies, AI-led digital experiences, and enterprise-scale product management.

Required Experience & Qualifications

• 8+ years of Product Management experience in B2B SaaS
• Experience with CMS, Digital Experience Platforms, or Martech
• Strong understanding of APIs and modern web architectures
• Experience collaborating with Engineering and Design teams
• Strong analytical and communication skills

Key Focus Areas

• AI-native CMS innovation
• SEO/GEO-first digital experiences
• Enterprise content scalability
• Product-led growth and adoption

Capabilities

1. Product Strategy & Roadmapping

2. Enterprise SaaS Product Management

3. AI-first Product Thinking

4. Agile Product Development

5. Customer Discovery & Validation

6. Data-Driven Decision Making

7. Stakeholder Management

8. GTM Collaboration

KPI and Metrics

1. Product Adoption

2. Customer Engagement & Retention

3. Time-to-Market

4. Customer Satisfaction

5. Platform Performance

6. Revenue Influence

7. Product Usage Growth

8. Customer Success Outcomes

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• MBA preferred
• Product or Agile certifications are a plus

What We Offer

• Competitive compensation and incentives
• Opportunity to build AI-first products
• Exposure to global enterprise customers
• Career growth and leadership opportunities
• Collaborative and innovative culture

How to Apply

Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and vision for the role plus previous experience align with key attributes, responsibilities, clear wins or learnings.   

Why Milestone

• AI-first Digital Experience Platform
• SEO/GEO-native CMS leadership
• Founder-led innovation culture

About the Role

We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

Key Responsibilities

Customer Discovery & Solutioning

• Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
• Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
• Translate business requirements into high-level cloud and AI solution architectures.
• Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.

Cloud Transformation Consulting

• Support customer initiatives across:
• Cloud Migration
• Application Modernization
• DevOps Transformation
• Managed Services
• Security & Compliance
• Resilience & Disaster Recovery
• Conduct cloud assessments and migration readiness evaluations.
• Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
• Leverage AWS programs and frameworks such as:
• Migration Acceleration Program (MAP)
• AWS Well-Architected Framework (WAFR)
• Foundational Technical Review (FTR)

AI & GenAI Solution Consulting

• Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
• Participate in AI discovery workshops and business value discussions.
• Support solution design for AI-powered applications leveraging AWS AI services.
• Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
• Assist customers in identifying suitable use cases for:
• Generative AI
• AI Assistants
• Knowledge Management Solutions
• Intelligent Automation
• Conversational AI

Proposal Development & Technical Presales

• Collaborate with Solution Architects to create:
• Technical Proposals
• Architecture Diagrams
• Effort Estimates
• Statements of Work (SOWs)
• Technical Responses to RFPs/RFIs
• Present solutions, recommendations, and technical approaches to customer stakeholders.
• Support Proof of Concepts (PoCs), demonstrations, and technical validations.
• Participate in technical reviews and solution walkthroughs.

Customer Engagement & Thought Leadership

• Attend customer meetings jointly with Sales teams to provide technical expertise.
• Build credibility and trust with customer technical and business stakeholders.
• Contribute to webinars, workshops, technical presentations, and customer-facing events.
• Write blogs, case studies, solution briefs, and technical content that supports business growth.
• Maintain an active presence in cloud and AI communities.

Collaboration & Knowledge Management

• Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
• Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
• Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
• Contribute to internal capability building and knowledge-sharing initiatives.

Travel & Customer Interaction

• Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
• Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
• Strong understanding of AWS cloud services across:
• Compute
• Networking
• Storage
• Security
• Databases
• Knowledge of cloud migration and modernization frameworks such as AWS MAP.
• Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
• Understanding of:
• Kubernetes
• Containerization
• Cloud-Native Architectures
• DevOps Practices
• Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
• Ability to create:
• Solution Documents
• Architecture Diagrams
• Technical Proposals
• Effort Estimates
• Statements of Work
• Understanding of Generative AI concepts including:
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Assistants
• Agentic AI Concepts
• Familiarity with AWS AI services such as:
• Amazon Bedrock
• Amazon SageMaker
• Amazon Q
• AWS Solutions Architect – Professional Certification.
• Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
• Familiarity with AI frameworks such as:
• LangChain
• LangGraph
• CrewAI
• OpenAI APIs
• Anthropic APIs
• Strong communication, presentation, and stakeholder management skills.
• Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
• Experience contributing to webinars, blogs, case studies, or technical marketing content.
• AWS Solutions Architect – Associate Certification (Mandatory).
• Customer-centric mindset with strong problem-solving abilities.

Desired Qualifications & Skills

• AWS Specialty Certifications such as:
• Security Specialty
• Advanced Networking Specialty
• Machine Learning Specialty
• DevOps Engineer Professional
• Understanding of compliance frameworks such as:
• ISO 27001
• SOC 2
• HIPAA
• MBA or equivalent business qualification.
• Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.

What We're Looking For

• Strong consulting mindset with the ability to understand customer business challenges.
• Excellent communication and presentation skills.
• Ability to balance technical depth with business value articulation.
• Passion for cloud technologies, AI, and emerging innovation.
• Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
• High ownership and accountability.
• Curiosity and continuous learning mindset.
• Willingness to travel and work from customer locations across India and internationally as required by project engagements.

What Success Looks Like

• Consistently contributes to qualified pipeline creation and deal progression.
• Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
• Builds credibility with customers through strong technical consulting and solution design.
• Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
• Develops reusable presales assets, assessment frameworks, and solution accelerators.
• Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
• Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.

Why Join Comprinno

• Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
• Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
• Collaborate directly with enterprise customers and influence strategic technology decisions.
• Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
• Contribute to innovative solutions including Tevico and future AI-powered offerings.
• Build thought leadership through webinars, blogs, events, and community participation.
• Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.

• We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. 
• You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. 

Key Responsibilities

Architecture & Technical Leadership

Hands-on Engineering & Problem Solving

Required Qualifications

Education : B.Tech/M.Tech or equivalent in Computer Science, Data Science, or a related field.

Experience

● 10+ years in software architecture or engineering with 5+ years in applied AI/ML

system delivery.

● Experience in productionizing AI/ML models and building full-stack AI applications in

enterprise settings.

● Strong Python development skills; proficiency in ML/AI frameworks (PyTorch,

TensorFlow, Scikit-learn).

● Strong understanding of LLMs, RAG pipelines, vector databases (Weaviate, Qdrant,

Pinecone).

● Experience with MLOps/LLMOps tools: MLflow, Argo, KServe, Feast, Kubeflow.

● Proficiency in data pipeline engineering using Spark, Airflow, or DataFlow.

● Exposure to agent orchestration frameworks: LangChain, LangGraph, AutoGen,

CrewAI is a big plus.

● Cloud & Infrastructure

● Hands-on experience with GCP (Vertex AI, BigQuery, Document AI, AI Gateway)

and/or Azure (Azure ML, OpenAI, Synapse).

● Expertise in containerization (Docker) and orchestration (Kubernetes).

● Familiarity with Infrastructure as Code (Terraform, Pulumi, CDK).

Soft Skills

Strong architectural thinking and problem-solving in fast-paced delivery environments.

Excellent communication and collaboration skills to work across cross-functional teams and

clients.

Proactive, structured, and detail-oriented with a bias for execution.

Nice to Have

Experience in real-world deployments of Agentic AI systems or collaborative multi-agent setups.

Exposure to regulatory/ethical concerns in AI such as fairness, transparency, or bias mitigation.

Familiarity with AI observability, explainability, and governance tooling (e.g., Arize, Fiddler,

TruEra).

Sr.Data Scientist,Python, AI ML

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and generate actionable insights that support business decisions. The ideal candidate should have strong statistical, analytical, and programming skills, along with hands-on experience in machine learning.

About Comprinno

Comprinno is a NASSCOM-incubated company headquartered in Bangalore, with offices in Pune, Coimbatore, and the United States. We specialize in cloud transformation, DevOps, infrastructure automation, managed services, Data Analytics, and Artificial Intelligence, enabling organizations to build scalable, secure, and high-performing cloud environments on AWS.

Our flagship SaaS platform, Tevico, offers intelligent cloud governance and observability for AWS workloads. It helps enterprises improve uptime, reduce costs, and ensure compliance by proactively detecting anomalies and triggering automated remediation workflows.

As one of the leading AWS consulting partners in the APJ region, Comprinno helps startups and enterprises accelerate growth through cloud migration, modernization, security, managed services, and GenAI-driven innovation.

About the Role

We are looking for a high-energy, entrepreneurial, and consultative Account Executive – Startups & Digital Native Business to drive growth within India's startup ecosystem.

This role is ideal for someone who understands startup buying behavior, thrives in fast-moving environments, and can engage founders, CTOs, engineering leaders, and product teams in meaningful business conversations.

You will own the complete sales cycle—from opportunity qualification to deal closure—while positioning Comprinno's Cloud, DevOps, Managed Services, Data Analytics, and AI offerings to help startups scale efficiently.

The ideal candidate combines strong business acumen, consultative selling skills, startup ecosystem awareness, and a passion for technology-led transformation.

Key Responsibilities

Own the Startup Sales Motion End-to-End

• Own the complete sales cycle:
• Discovery
• Qualification
• Solutioning
• Proposal Development
• Commercial Negotiation
• Deal Closure
• Manage opportunities sourced through:
• Marketing-generated leads
• Inbound inquiries
• Outbound prospecting
• AWS referrals
• Startup ecosystem partnerships
• Consistently achieve quarterly and annual revenue targets.
• Maintain accurate pipeline visibility and forecasting within CRM systems.

Consultative Cloud & AI Selling

• Engage founders, CTOs, VP Engineering, Product Leaders, and technology decision-makers.
• Understand customer business objectives, growth challenges, and technology priorities.
• Position Comprinno's offerings including:
• Cloud Migration
• Cloud Modernization
• Platform Engineering
• DevOps Transformation
• Managed Services
• Security & Compliance
• Data Analytics
• Generative AI
• Articulate business value, ROI, scalability, and operational benefits.
• Collaborate closely with Presales and Solution Architecture teams for technical solutioning.

Startup Ecosystem Development

• Build and maintain strong relationships with:
• Startup Founders
• CTOs
• Accelerators
• Incubators
• Venture Capital Firms
• Startup Communities
• Represent Comprinno at startup events, meetups, hackathons, webinars, and industry forums.
• Build ecosystem-driven lead generation channels.
• Create long-term strategic relationships within the startup ecosystem.

AWS Startup Program Alignment

• Collaborate with AWS Startup, ISV, and Digital Native Business teams.
• Leverage AWS programs including:
• AWS Activate
• MAP
• Well-Architected Reviews
• GenAI Programs
• Startup Funding Initiatives
• Build relationships with AWS Startup Account Managers and Startup Solution Architects.
• Position Comprinno as a trusted AWS implementation and innovation partner.

Revenue Growth & Account Expansion

• Drive acquisition of new startup customers.
• Identify upsell and cross-sell opportunities within existing accounts.
• Expand engagements from:
• Migration
• Modernization
• Managed Services
• Data & AI
• Security
• Develop long-term account growth strategies.

Collaboration & Market Feedback

• Work closely with:
• Marketing
• SDR Teams
• Presales
• Delivery Teams
• AWS Partner Teams
• Provide market intelligence and customer feedback.
• Help refine messaging, offerings, and GTM strategies for startup customers.
• Contribute to startup-focused sales playbooks and best practices.

Required Qualifications & Skills

• Bachelor's degree in Engineering, Technology, Computer Science, or related disciplines.
• 4–7 years of experience in B2B technology sales, cloud consulting sales, IT services sales, or startup-focused solution sales.
• Strong understanding of India's startup ecosystem, including Seed, Series A, Series B, and growth-stage companies.
• Experience selling one or more of the following:
• Cloud Services
• DevOps Services
• Managed Services
• Data Analytics
• AI/GenAI Solutions
• SaaS Platforms
• Proven ability to engage founders, CTOs, and senior technology stakeholders.
• Strong consultative selling and value-based sales skills.
• Excellent communication, presentation, negotiation, and relationship-building abilities.
• Experience managing opportunities through the complete sales lifecycle.
• Strong CRM discipline and forecasting accuracy.
• High ownership mindset and ability to operate independently.

Desired Qualifications & Skills

• MBA from a reputed institution.
• AWS Cloud Practitioner or AWS Solutions Architect – Associate certification.
• Experience working with AWS Partner ecosystem and startup programs.
• Existing network within startup, VC, accelerator, or founder communities.
• Exposure to Cloud, Data Analytics, AI, or GenAI solution selling.
• Experience working in high-growth startup or consulting environments.

What We're Looking For

• Entrepreneurial mindset and startup DNA.
• High urgency and execution focus.
• Strong hunter mentality with account expansion capability.
• Ability to simplify complex technology into business outcomes.
• Curiosity, resilience, and continuous learning mindset.
• Relationship-oriented approach with strong commercial acumen.
• Passion for helping startups scale through technology.

What Success Looks Like

• Consistent achievement of quarterly and annual revenue targets.
• Strong pipeline generation and opportunity conversion rates.
• High win rates within startup and digital-native accounts.
• Successful acquisition of new startup customers.
• Growth of AWS-sourced and ecosystem-driven opportunities.
• Strong CRM hygiene and forecasting accuracy.
• Creation of repeatable startup sales playbooks and best practices.
• Meaningful contribution to Comprinno's startup ecosystem presence.

Why Join Comprinno

• Work with one of the leading AWS consulting partners in India and APJ.
• Engage with some of the fastest-growing startups and digital-native businesses.
• Sell cutting-edge Cloud, DevOps, Data Analytics, and AI solutions.
• Collaborate closely with AWS Startup teams and ecosystem partners.
• Accelerate your career in a high-growth, high-impact environment.
• Join a culture that values ownership, innovation, learning, and customer success.

EMBEDDED AI ENGINEERING POD

AI Implementation Engineer Role

Level: AI Implementation Engineer Senior / Advanced - 6+ years

Practice: Wissen GenAI

Locations: Mumbai / Bengaluru / New York - hybrid, embedded with delivery teams

Reports to: EMBEDDED AI PRACTICE Senior AI Engineering Specialist (Architect); Wissen GenAI Program Lead

Embedded inside enterprise delivery teams, you work closely with global, cross-regional teams to turn prioritized GenAI use cases into production software - building, integrating, and hardening Azure-based AI solutions and accelerating adoption within the teams you join.

You deliver production software and help the teams you join work faster.

As an embedded AI Implementation Engineer, you help convert prioritized use cases into shipped, governed, measurable software.

Key responsibilities

1. Build and ship.

Implement GenAI features end to end on Azure - RAG pipelines, agents, APIs, and UI integrations - against enterprise systems and data.

2. Embed and enable.

Work inside the delivery pods: pair with their engineers, remove blockers, and transfer GenAI skills so adoption sticks after you move on.

3. Productionize.

Add evaluation, observability, guardrails, caching, and CI/CD so prototypes become reliable, cost-efficient services.

4. Integrate securely.

Connect to enterprise data with correct access control, secrets management, and compliance with enterprise security standards and handling of sensitive data.

5. Iterate on quality.

Use evaluation results and user feedback to improve grounding, accuracy, latency, and cost.

6. Measure.

Track delivery and quality metrics that roll up to the program's targets.

Must-have qualifications

• 6+ years in software engineering, with 2+ years building GenAI/LLM applications in production.
• Strong Python (incl. async) and Java (the primary enterprise application stack; Spring a plus); solid API and systems design.
• Azure GenAI hands-on: Azure OpenAI, Azure AI Foundry, Azure AI Search for RAG, Azure AI Document Intelligence (IDP), and Prompt Flow.
• Agent frameworks: Microsoft Agent Framework / Semantic Kernel / AutoGen (or LangChain / LangGraph) and tool / function calling.

Preferred

• RAG fundamentals: embeddings, chunking, vector search, reranking, and grounding.
• Data platforms: Snowflake including Cortex AI (Cortex Search, LLM functions) and SQL, for accessing and grounding on enterprise data.
• Prompt engineering as versioned code; building and running evaluations.
• DevOps: Azure DevOps / GitHub Actions, Docker, AKS / Azure Functions, and observability.
• Financial services or other regulated environments.
• Front-end (React) for AI-assisted UX; streaming and token level operations.
• Azure AI Content Safety and responsible-AI practices.
• Certification: Azure AI Engineer Associate.

What success looks like - first 6 to 12 months

• Multiple GenAI features shipped to production within the embedded delivery pods.
• Measurable adoption and productivity uplift in the teams you support.
• Reusable components adopted from the architects' reference framework.
• Clear contribution to faster time-to-market and lower defect rates.

About the Role We are seeking a highly technical, hands-on Senior AI/ML Tech Lead to drive the design, development, and deployment of cutting-edge Generative AI applications. In this dual-impact role, you wi l act as a primary individual contributor architecting core AI engines while simultaneously leading a team of engineers through task alocation, code reviews, and technical mentorship. The ideal candidate bridges the gap between state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and production-grade ful-stack engineering (Python, FastAPI, React).

Key Responsibilities

Technical Leadership & Team Management (40%)

● Technical Oversight: Lead a team of AI, backend, and ful-stack engineers; alocate tasks, establish sprint priorities, and ensure timely delivery.

● Code Quality & Reviews: Conduct rigorous code reviews to maintain high engineering standards, security, performance, and scalability across AI and fu l-stack codebases.

● Architecture & Governance: Design end-to-end system architectures for AI solutions, ensuring seamless integration between frontend interfaces, backend APIs, and AI models.

● Mentorship: Guide and upskil team members on modern software practices, LLM engineering, and agentic design patterns. Hands-On Engineering & Development (60%)

● Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered applications, multi-agent workflows (e.g., CrewAI, AutoGen, LangGraph), and autonomous AI agents.

● RAG & OCR Pipelines: Design and deploy advanced RAG (Retrieval-Augmented Generation) architectures and document processing pipelines utilizing OCR techniques (e.g., LayoutLM, PaddleOCR, Tesseract, Vision LLMs) to extract structured data from unstructured sources.

● Backend Systems: Build robust, asynchronous, high-throughput microservices and RESTful APIs using Python and FastAPI.

● Frontend Integration: Colaborate on or build modern web interfaces using React (e.g., Control Towers, operations dashboards, interactive chat interfaces).

● MLOps & Vector DBs: Oversee model deployment, prompt engineering, fine-tuning, vector database integration (Pinecone, Qdrant, Chroma, PGVector), and cloud infrastructure setup (Azure/AWS).

Required Qualifications & Skills

● Overall Experience: 8 to 10 years of professional software engineering experience.

● AI/ML Domain Experience: 3 to 4+ years of dedicated, hands-on experience building and deploying AI/ML, OCR, and Generative AI solutions in production.

● Core Technical Stack: ○ Generative AI & LLMs: Extensive experience with commercial and open-source LLMs (OpenAI, Anthropic Claude, Llama), Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), and LLM evaluation frameworks (LangSmith, TruLens, Ragas). ○ RAG & Unstructured Data: Strong knowledge of hybrid search, re-ranking, chunking strategies, vector databases, and document inte ligence workflows. ○ OCR & Vision Techniques: Hands-on experience with OCR engines (Tesseract, PaddleOCR, Azure Document Inteligence) and Multi-Modal/Vision LLMs for document extraction. ○ Backend: Deep expertise in Python and asynchronous frameworks (FastAPI, AsyncIO). ○ Frontend: Working proficiency in React (TypeScript/JavaScript) for building interactive web UI components. ○ Cloud & DevOps: Hands-on experience with cloud platforms (Azure / AWS), Docker, Kubernetes, and CI/CD pipelines.

Preferred / Good-to-Have Skills

● Experience with cloud-native data platforms (e.g., Microsoft Fabric, Snowflake, Azure SQL).

● Familiarity with cost optimization and latency reduction techniques for LLM inference (caching, semantic routing, model quantization).

● Prior experience in client-facing technical leadership or agile consulting environments.

What We Offer

● Opportunity to lead and build high-impact, state-of-the-art Generative AI systems.

● Colaborative engineering culture with room for technical ownership and direct business impact.

● Flexible work arrangements and competitive compensation package.

We are seeking Generative AI Developers with strong Python programming and AI/ML expertise to build, deploy, and optimize LLM-powered applications. The role involves developing RAG solutions, AI agents, and enterprise GenAI applications while collaborating with cross-functional teams.

Key Responsibilities

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Ensure code quality through testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.

Required Technical Skills

• Strong proficiency in Python, OOP, APIs, debugging, and software development best practices.
• Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.
• Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.
• Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.
• Experience with PyTorch, TensorFlow, or Keras.
• Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).
• Understanding of AI governance, data privacy, and Responsible AI principles.

Preferred Skills

• Experience with Agentic AI frameworks (CrewAI, AutoGen, Semantic Kernel).
• Exposure to Azure AI Foundry, Databricks, or enterprise AI platforms.
• Knowledge of multimodal AI applications.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 5 years of software development experience, including AI/ML or Generative AI projects.
• Experience building and deploying production-grade AI solutions.

Assessment Focus Areas

Candidates will be evaluated on:

• Python coding and problem-solving
• Data Structures & Algorithms
• LLMs, RAG, and Agentic AI concepts
• API development and system design
• Cloud deployment and AI solution architecture

Are you interested in writing agentic systems that helps companies like Coca-Cola, ITC and Lenovo drive E-commerce success? Do you want to bring Autonomy to E-commerce? Then read on and apply.

Applied Scientist - Decision AI

Location: Bengaluru

Work Schedule: Hybrid (Candidate must be based in Bengaluru - 1-2 days of WFO may be required at a later date)

About Kily

Kily is an AI company bringing autonomy to digital commerce growth. We build autonomous agents that manage Advertising, Pricing and Listings for brands and sellers across commerce marketplaces.

Performance in modern commerce shifts constantly - across marketplaces, categories and cities - faster than teams can manually track, diagnose and act on. Kily's agents work continuously against real business objectives with each brands unique context, objectives and operating constraints and keeping humans in the loop where it matters.

The Role

We are looking for an Applied Scientist to build the models and decision systems behind Kily's recommendations and actions. The work is grounded in messy, real-world commerce data help build Kily's core decision intelligence layer: systems capable of understanding complex commerce data, determining why performance is changing, deciding what should be done about it, and ultimately taking actions autonomously at scale. You will work at the intersection of learning algorithms, decision making under uncertainty and agentic systems.

What You'll Do

·      Conduct deep analysis of commerce data to derive insights, and identify gaps and new opportunities

·      Develop scalable and effective machine-learning models and optimisation strategies to solve business problems across advertising, pricing and listings

·      Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment

·      Identify and build the sequential feedback loops that make decisions improve over time

·      Design evaluation frameworks to measure the quality and business impact at scale

·      Work closely with engineering, analytics and product teams to take models from experimentation into production

What We're Looking For

·      4+ years in Applied ML/AI, Data Science. Masters or PhD in a quantitative field is a plus

·      Deep proficiency in Python, SQL, statistics and data analysis

·      Hands-on experience developing, deploying and maintaining the end-to-end lifecycle of machine-learning models

·      Experience with LLMs, fine-tuning, AI agents, optimisation or sequential decision systems is a strong plus

·      Exposure to ecommerce, marketplaces, advertising or pricing data is valuable but not essential

·      Strong problem-solving and communication skills; ML research experience is a plus

WHY KILY

Kily is already working with leading brands including ITC, Unilever, Mondelez, Coca-Cola and Lenovo, and has recently raised an INR 30 crore ($3.1 mn) Seed round led by Sorin Investments, with participation from Razorpay and Wyser Capital. You'll have the opportunity to build a foundational AI system from an early stage - one designed not merely to generate insights, but to autonomously drive real-world business

outcomes.

Mobile QA Engineer:

Location: Bangalore WFO

Notice: 0 to 15 days (Immediate joiners preferred)

As an Intermediate Mobile QA Engineer, you will play a vital role in ensuring the quality, reliability, and performance of AI-powered mobile applications across iOS and Android platforms. Your responsibilities will include:

• Conduct comprehensive manual testing of the LifeSaver mobile application across iOS and Android devices to understand system behavior, identify edge cases, and uncover potential risks.
• Work across diverse environments and device types, including native mobile applications, web platforms, backend systems, and data-driven integrations.
• Evaluate AI-powered workflows and autonomous agents, focusing on accuracy, consistency, reliability, and user trust rather than strictly deterministic results.
• Utilize exploratory testing and risk-based testing methodologies to assess probabilistic behavior, failure scenarios, and mobile-specific challenges such as connectivity changes, permissions, push notifications, location services, and background/foreground transitions.
• Design, develop, and maintain automated tests across UI, API, and service layers using modern testing tools and frameworks such as BrowserStack, Atlassian, and Playwright.
• Continuously improve mobile test automation frameworks, testing standards, and quality assurance best practices.
• Define and implement effective testing strategies for complex, multi-step workflows that combine traditional business logic with AI-driven functionality.
• Validate application behavior across multiple devices, operating system versions, screen resolutions, and manufacturers while supporting configuration-driven and AI-assisted use cases.
• Assess mobile application performance under real-world conditions, including battery usage, memory consumption, storage constraints, and fluctuating network environments.
• Collaborate closely with Engineering, Product Management, and Platform teams to improve testability, identify risks, and establish quality expectations.
• Participate in defect triage, root cause analysis, and issue resolution, particularly for device-specific, intermittent, or non-deterministic defects.
• Integrate both manual and automated mobile testing into CI/CD pipelines using simulators, emulators, and physical device farms to support high-quality releases.

Required Qualifications

To thrive in this role, you should possess the following skills and experience:

• 4+ years of experience in Software Quality Assurance (QA) with a strong emphasis on mobile testing, test automation, and exploratory testing.
• Proven expertise in manual testing of complex mobile applications and workflows on both iOS and Android platforms.
• Hands-on experience testing AI-powered applications, intelligent workflows, or systems with probabilistic behavior.
• Strong understanding of mobile testing concepts, including device fragmentation, OS compatibility, application permissions, network connectivity states, and background/foreground behavior.
• Experience applying exploratory, risk-based, and system-level testing approaches to identify quality risks effectively.
• Ability to evaluate AI-driven outcomes based on correctness, consistency, reliability, and user confidence rather than traditional pass/fail criteria.
• Practical experience testing both mobile applications and their associated APIs.
• Familiarity with cloud-based testing and device farm solutions such as BrowserStack, Sauce Labs, or Firebase Test Lab.
• Knowledge of CI/CD pipelines, automated test execution, and modern software delivery practices.
• Strong analytical thinking and problem-solving skills, with the ability to identify subtle defects and edge-case scenarios.
• Excellent communication skills with the ability to clearly articulate testing risks, uncertainties, and quality assessments to product and engineering teams.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• Experience in mobile performance testing, accessibility testing, or security testing is considered an added advantage.

Technology Stack

Mobile Platforms & Development Tools

• iOS Operating System
• Android Operating System
• Xcode
• Android Studio
• Atlassian Suite

Test Automation & Quality Assurance

• Playwright
• BrowserStack
• Sauce Labs
• Firebase Test Lab
• API Testing Tools
• Performance Testing Tools
• Modern Test Automation Frameworks

DevOps & Continuous Delivery

• CI/CD Pipelines
• Automated Test Execution
• Device Farms
• Mobile Simulators & Emulators
• Physical Device Testing

Job Title

Python Full Stack Developer – AI

Experience: 6-9 Years

Location: Bangalore (Hybrid)

Employment Type: Full-Time

Job Summary

We are seeking a highly skilled Python Full Stack Developer with AI expertise to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong experience in Python, Full Stack Development, REST APIs, modern frontend frameworks, and Generative AI technologies, including LLMs, prompt engineering, and AI integrations.

The role involves building end-to-end web applications, integrating AI models, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.

Key Responsibilities

· Design, develop, and maintain scalable full-stack applications using Python.

· Build responsive and interactive user interfaces using React.js, Angular, or Vue.js.

· Develop backend services and RESTful APIs using Django, Flask, or FastAPI.

· Integrate Generative AI models such as OpenAI GPT, Claude, Gemini, or Llama into business applications.

· Develop AI-powered chatbots, assistants, document processing, and workflow automation solutions.

· Implement prompt engineering techniques to optimize AI model performance.

· Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

· Work with LangChain, LangGraph, or LlamaIndex for LLM orchestration.

· Integrate AI APIs and third-party services into enterprise applications.

· Design and optimize SQL and NoSQL databases.

· Deploy applications on AWS, Azure, or GCP.

· Develop CI/CD pipelines and manage deployments using Docker and Kubernetes.

· Write clean, reusable, and well-documented code following best practices.

· Participate in Agile ceremonies, code reviews, and sprint planning.

Required Technical Skills

Backend

· Python

· Django

· Flask

· FastAPI

Frontend

· React.js / Angular / Vue.js

· HTML5

· CSS3

· JavaScript (ES6+)

· TypeScript

AI / Generative AI

· OpenAI API

· Azure OpenAI

· Gemini API

· Claude API

· Llama Models

· LangChain

Databases

· PostgreSQL

· MySQL

· MongoDB

· Redis

Cloud & DevOps

· AWS / Azure / Google Cloud Platform

· Docker

· Kubernetes

· Git

· GitHub

· Jenkins

· CI/CD

API Development

· REST APIs

· GraphQL (Preferred)

· API Integration

Preferred Skills

· Machine Learning fundamentals

· NLP (Natural Language Processing)

· Hugging Face Transformers

· TensorFlow or PyTorch

· Kafka or RabbitMQ

· Elasticsearch

· Microservices Architecture

· Authentication (OAuth2, JWT)

Qualifications

· Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

· 6–9 years of experience in Python Full Stack Development.

· Hands-on experience with Generative AI and LLM-based application development.

· Experience working in Agile/Scrum environments. 

About the Company

The client is an agentic AI workflow transformation startup. They help businesses transform traditional processes into SMART processes — Scalable, Minimal Cost, AI-led, Reliable, and Turbo Charged. By combining Artificial Intelligence with human-in-the-loop expertise, we make business processes highly accurate, faster, and 30–90% more cost-efficient.

Their solutions currently span three key areas:

• Intelligent Document Processing: Accounting ledger matching, invoice processing, ID/KYC document processing, bank statements, and more.
• Product & Content Operations: Content moderation, product cataloguing, image editing, and related workflows.
• Interaction Management - Voice Bots, Auto Quality Assurance [voice & text], CRM, ticketing etc 

About the Role

We are looking for an Associate Director – Growth, Sales & Delivery who can operate at the intersection of B2B growth, client engagement, solution delivery, and technology.

This role is ideal for someone who can identify and develop business opportunities, engage with clients to understand their requirements, work closely with engineering teams to shape solutions, and drive those solutions from ideation to delivery.

The role sits within the Intelligent Document Processing business, one of the key revenue-generating verticals, with a strong focus on use cases such as invoice processing, KYC, and other document-intensive business processes.

Key Responsibilities

1. B2B Growth & Business Development

• Identify and develop new B2B business opportunities and client relationships.
• Engage with prospective clients to understand their business challenges and identify opportunities for AI-led solutions.
• Contribute to GTM initiatives, commercialisation strategies, and early-stage solution discovery.
• Build and leverage relevant industry relationships and networks to generate opportunities.
• Take ownership of opportunities from initial conversations through solution definition.

2. Solution Delivery & Ownership

• Work closely with engineering and delivery teams to translate client requirements into practical solutions.
• Own the solutioning and delivery journey from ideation to implementation.
• Coordinate with internal teams to ensure solutions are delivered effectively and aligned with client expectations.
• Understand business requirements and translate them into clear solution approaches.
• Drive execution with a strong sense of ownership and delivery orientation.

3. Technology & Solutioning

• Bring a good understanding of technology and modern AI/automation tools.
• Work with technical teams to define solution blueprints and approaches.
• Ability to understand and leverage technology platforms and tools to develop or prototype solutions.
• Coding expertise is not mandatory, but familiarity with technology, cloud platforms, AI tools, and solution development will be an advantage.

What We're Looking For

• 3+ years of experience, with flexibility for exceptional candidates with ~1 year of experience who demonstrate strong relevant capabilities.
• Strong exposure to B2B growth, business development, sales, client engagement, or solution consulting.
• Experience working with clients and taking ownership of opportunities from discovery to execution.
• Strong delivery and ownership mindset, with the ability to work effectively with engineering/technical teams.
• Understanding of technology and ability to participate in solution design discussions.
• Experience in oice processing, or related domains will be highly relevant.
• Strong communication, problem-solving, and stakeholder management skills.
• Candidates from IITs, IIITs, NITs, BITS, and other premier engineering institutions would be preferred, particularly where combined with relevant industry experience.

Good to Have

• Experience with AI/automation-led solutioning or technology consulting.
• Familiarity with cloud platforms and modern AI/technology tools.
• Prior experience in a technical role, product/solution role, or engineering environment.
• Experience working with organisations in the intelligent document processing / AI automation ecosystem.

Why choose us?

You will play a key role in building and scaling AI-led business solutions, working across clients, business development, solutioning, and engineering.

Our proprietary StepZero platform enables us to move rapidly from ideation to a working solution, typically within a few weeks, while our outcome-based approach focuses on delivering measurable business value rather than traditional headcount-based services.

This is an opportunity for someone who wants to combine business growth, client-facing ownership, solution delivery, and technology in a single role.

Key Responsibilities

• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research

automation, document intelligence, investor matching, and workflow orchestration).

• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from

unstructured financial documents, and model evaluation pipelines.

• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI

systems.

• Own model performance, reliability, and cost — from experimentation through production deployment.

• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.

• Ensure systems meet the compliance, auditability, and security standards required in regulated financial

environments.

What We're Looking For

• 5+ years of experience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face,

LangChain, or equivalent).

• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly

valued.

• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring,

versioning).

• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background

• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.

• Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory

KEY RESPONSIBILITIES

• Collaborate effectively within a lean team structure focused on core legacy application support, optimization, and modernization.
• Drive robust lift-and-shift strategies as well as meticulous deep-architectural refactoring initiatives for existing enterprise applications.
• Actively leverage AI-based development tools (e.g., GitHub Copilot) and modern DevOps automation to significantly accelerate software delivery speed and enhance engineering standards.
• Perform detailed code analysis, proactive performance tuning, regression testing, and systemic stabilization of legacy software environments.
• Ensure absolute end-to-end ownership of development pipelines and tasks with minimal supervisor oversight.
• Align all newly developed modern features and components with the pre-existing tech stack structure and corporate architecture standards.
• Collaborate dynamically with cross-functional stakeholders to align engineering sprints with critical operational milestones and ensure smooth delivery.

REQUIRED SKILLS & QUALIFICATIONS

• Modernization Expertise: Proven hands-on experience navigating complex legacy software codebases, performing technical debt evaluations, and executing migration patterns.
• Full-Stack Core Proficiency: Deep practical competence in at least one backend ecosystem and frontend ecosystem as applicable: Backend: Node.js, Java, or .NET Frontend: Angular or React
• Cloud & CI/CD Frameworks: Comprehensive deployment experience utilizing major cloud architectures (AWS or Azure) and establishing structured automation pipelines (Jenkins, GitHub Actions, etc.).
• AI & Automation Tooling: Hands-on exposure to modern AI-assisted coding extensions, continuous testing applications, and progressive DevOps automation.
• Quality & Observability: Solid diagnostic knowledge utilizing code coverage analysis, structured logging, monitoring suites, and system-level debugging tools.
• Core Competencies: Superior standalone problem-solving capacity, clear professional communications skills, an autonomous work ethic, and a preference for in-office team collaboration

What you'll do

The Software Engineer will serve as a full stack developer within the AI and Automation team, focusing on building AI agents, chatbots, and automation solutions. The role involves taking ownership and accountability to meet commitments, developing software using programming languages, and designing, executing, and reporting on system and service tests to ensure applications function as required. Additional responsibilities include monitoring, diagnosing, and resolving technology issues, as well as supporting team members by carrying out prescribed design activities using established procedures.

What you'll bring

3+ years of experience in full stack application development using Python (for backend) and JavaScript/Typescript (for frontend).

Strong understanding of Java.

Strong understanding of Machine Learning /MLOps using Python .

Familiarity with Agentic AI frameworks.

Familiarity with Kubernetes (K8S) and Docker.

Experience in developing solutions using Azure storage and compute solutions.

Proven experience working with Azure AI solutions, especially AI Foundry and AI Search.

Experience in developing distributed event-driven applications using brokers such as Apache Kafka, IBM MQ, Solace, or Azure Event Hub.

Proven experience in working with DevOps frameworks, GIT, and CI/CD pipelines.

Experience developing integrations using established Enterprise Application Integration patterns and tools such as Apache Camel.

Required Qualifications

Specify the minimum educational qualifications necessary for this role, including degree type, field of study, and level attained.

Applicants should hold a bachelor’s degree in any discipline and possess practical experience in software development. Degrees in Computer Science, Software Engineering, or Information Technology are particularly advantageous. 

A BIT ABOUT US

Appknox is a leading AI-native mobile application security platform trusted by enterprises around the world. Recognized by Gartner and G2, Appknox helps organizations secure mobile applications throughout their lifecycle through automated security testing, continuous monitoring, and actionable intelligence.

Headquartered in Singapore with engineering based in Bengaluru, Appknox serves customers across North America, the Middle East, Southeast Asia, Japan, and India. Our customers include Fortune 500 companies, governments, financial institutions, and digital-first enterprises that rely on Appknox to secure their mobile ecosystem.

We are a profitable, fast-growing B2B SaaS company with a highly collaborative culture and ambitious plans to shape the future of application security in the AI era.

About The Role

Application security is undergoing a fundamental shift. AI is changing how software gets built, how vulnerabilities emerge, how security teams investigate and prioritise risk, and how enterprise buyers discover and evaluate security platforms.

Appknox has spent more than a decade building deep expertise in mobile application security. Our next chapter requires us to evolve both what Appknox stands for and how effectively we take that story to market.

We are looking for a hands-on Lead for GTM Marketing to translate Appknox’s product, positioning and business priorities into integrated go-to-market programmes that create awareness, engagement and pipeline.

You will lead the GTM marketing team and own demand generation, campaigns, ABM, website and conversion, organic discovery, content activation, field marketing and events. You will work as a peer to Product Marketing, partnering closely with Sales, Product and leadership to connect market strategy with disciplined execution.

This is not a role for someone who only manages agencies, runs isolated campaigns or waits to receive briefs. You will help determine where marketing should focus, challenge assumptions, build the operating plan, develop the team and remain close enough to execution to maintain a high quality bar.

What You Will Own

1. GTM strategy 

Translate Appknox’s product, positioning and revenue priorities into a focused GTM strategy, operating plan and measurable goals.

For each significant opportunity, help answer:

Who are we trying to influence? What problem matters to them? What do we want them to believe? What should we take to market? Through which channels? What commercial outcome should it create?

You will:

• Lead and develop the GTM marketing team, creating clarity around priorities, ownership, quality and performance.
• Build quarterly and annual GTM plans aligned with company, product and regional revenue priorities.
• Prioritise across markets, audiences, channels and opportunities rather than allowing every request to become a campaign.
• Manage relevant budgets, agencies and specialist partners.
• Establish clear operating rhythms across GTM Marketing, Product Marketing, Sales and Product.

2. Demand Generation and Integrated Campaigns

Build integrated programmes that create qualified demand and contribute meaningfully to pipeline.

You will:

• Own marketing-sourced and marketing-influenced pipeline targets, measurement and review rhythms.
• Design programmes across inbound, paid, organic, content, webinars, retargeting and emerging acquisition channels.
• Connect campaigns to defined audiences, customer problems, offers, conversion paths and commercial outcomes.
• Diagnose funnel performance and work with Sales and revenue operations to improve conversion.
• Identify successful GTM plays that can be repeated and scaled.

Success will be measured through qualified engagement, opportunity creation and progression, pipeline contribution and conversion-not campaign activity alone.

3. Account-Based and Segment GTM

Partner with Sales and Product Marketing to build focused programmes for priority accounts, industries, personas and regions.

You will:

• Identify segments and accounts where focused marketing can create disproportionate impact.
• Understand buying committees, account-level triggers and market-specific context.
• Work with Product Marketing to develop relevant narratives by segment and buyer.
• Design integrated ABM programmes, offers, landing experiences and content.
• Coordinate marketing engagement with SDR and sales outreach.
• Track account engagement, opportunity creation and progression.

At Appknox, ABM should combine account insight, buying committee, customer problem, narrative, offer and sales motion-not simply apply advertising to an account list.

4. Website, Organic Discovery and Conversion

Transform Appknox.com into an active GTM and experimentation engine.

You will own or drive:

• Information architecture and messaging activation.
• Product, use-case, industry, persona, regional and competitive pages.
• Campaign landing experiences and conversion paths.
• Website experimentation and performance measurement.
• SEO and evolving AI-led discovery across platforms such as ChatGPT, Gemini and Perplexity.

You will develop a measurement system connecting discoverability, relevance, engagement, conversion and pipeline. Traffic, rankings and AI mentions alone are not success.

5. Product Launches and Market Activation

Partner with Product Marketing and Product to take new capabilities and products to market.

Product Marketing will lead customer insight, ICP definition, positioning, competitive differentiation and product narrative. You will lead GTM planning and activation across campaigns, website, content, distribution, organic discovery, sales activation, field programmes and amplification.

This is not a downstream handoff. You will participate in launch strategy, contribute market and performance insight, and help test whether the positioning works when exposed to buyers.

6. Content and Thought Leadership

Lead the GTM content agenda and the team responsible for bringing it to life.

You will:

• Determine what Appknox should talk about based on customer problems, market shifts, buyer demand and the company’s strategic point of view.
• Guide the development of category narratives, research-led content, technical thought leadership, competitive content, executive communications and campaign assets.
• Build content distribution into every major initiative rather than treating publication as the finish line.
• Maintain a consistently high standard of clarity, substance and differentiation.

Every significant content investment should answer: Who are we trying to influence? What belief are we trying to change? What should happen after they consume it?

7. Field Marketing and Events

Own the GTM strategy and marketing execution for priority industry events, executive programmes, regional activations and field initiatives.

You will:

• Select and prioritise events based on target audiences, market objectives and commercial potential.
• Build pre-event, onsite and post-event motions with Sales.
• Develop programmes that create meetings, progress target accounts and deepen customer and partner relationships.
• Establish consistent measurement for event-sourced and event-influenced pipeline.
• Balance global consistency with the realities of different regions and sales motions.

8. Market Intelligence and Experimentation

Work with Product Marketing to continuously monitor competitor positioning, market narratives, buyer behaviour, campaign signals, organic discovery and emerging security themes.

Product Marketing will lead the strategic implications for positioning and product. You will ensure relevant market and performance signals translate rapidly into GTM action.

Work Expectations

First 60 days

• Understand Appknox’s market, customers, product portfolio, team, current GTM programmes, website funnel, organic presence and competitive landscape.
• Establish performance baselines and clarify team ownership and operating rhythms.
• Identify the three to five highest-leverage GTM opportunities or leaks.
• Build the initial GTM and experimentation roadmap.

Within 90 days

• Ship meaningful website, campaign or conversion improvements.
• Launch the first focused account or segment programmes with Sales.
• Improve the speed at which narratives, campaigns and landing experiences reach the market.
• Establish practical measurement connecting marketing programmes to qualified engagement, opportunities and pipeline.
• Create clearer briefs, priorities and performance expectations for the GTM marketing team.

Within 6 months

• Stronger market association between Appknox and the strategic application-security themes it chooses to own.
• Improved qualified organic engagement and conversion.
• One or two repeatable account, segment or regional GTM plays.
• Faster and more disciplined website and campaign experimentation.
• Better coordination across GTM Marketing, Product Marketing, Sales and Product.
• Clearer visibility into which channels, narratives and programmes influence pipeline.
• A repeatable system for taking new products and market narratives to market.

Personality Traits We Admire

• Strategic thinker with strong execution skills.
• Curious, commercially minded, and customer obsessed.
• Comfortable with ambiguity and fast-moving environments.
• Strong collaborator who can influence cross-functional teams.
• Excited by AI and emerging technologies.
• Eager to build and grow with the company over the long term.

What We Are Looking For

• 7–10 years of B2B SaaS marketing experience, ideally within technical SaaS, cybersecurity or enterprise software.
• Experience leading or managing a marketing team, with the ability to set direction, develop people and maintain a strong execution bar.
• Demonstrated ownership of integrated GTM programmes and measurable pipeline outcomes.
• Strong understanding of product positioning and messaging, with the ability to turn strategy into market-facing activation.
• Experience working closely with Sales on demand generation, ABM, field marketing or regional programmes.
• Strong digital and website fundamentals, including conversion optimisation and organic discovery. Familiarity with AEO and GEO is valuable, but deep SEO specialisation is not required.
• Ability to understand technically complex products and simplify them without losing substance.
• Strong analytical capability and a desire to understand why a metric moved—not simply report that it did.
• Excellent writing, storytelling and communication skills.
• Ability to move between strategic thinking, team leadership and hands-on execution.
• Comfort operating in ambiguity, making trade-offs and building systems where none currently exist.
• Low ego, high ownership and the confidence to challenge assumptions constructively.

Interview Process

Round 1: Hiring Manager

Round 2: Functional Case Study

Round 3: Marketing + Sales Panel

Round 4: Co-founder Discussion

Round 5: HR Discussion

Compensation and Benefits

• Competitive compensation and ESOP opportunities.
• Flexible work environment.
• Comprehensive health insurance for employees and their families.
• Opportunity to work with global customers and cutting-edge AI and cybersecurity technologies.

Why Join Appknox?

Ownership and Impact

Shape how a global cybersecurity company is positioned in the market and influence strategic decisions across the business.

Growth Opportunity

This role offers a clear path toward building and leading the product marketing function as Appknox scales.

High Visibility

Work closely with company leadership and collaborate across Product, Engineering, Sales, and Customer Success.

Continuous Learning

We believe in experimentation, curiosity, and helping people grow beyond their current role.

Key Responsibilities

1. Solutioning & Proposal Development

•   Partner with Senior SMEs and Practice Leads to design end-to-end Data & AI solutions for client pursuits — contributing to structure, content, and commercial framing.

•   Build client proposals, solution documents, and program structures that are well-organized, accurate, and ready to use without significant rework.

•   Translate client requirements into structured, outcome-oriented learning journeys — adoption, capability uplift, and measurable business outcomes, not just module lists.

•   Support customized offerings across Data Engineering, AI / ML, and GenAI and Agentic AI tracks; help assemble pursuits from existing accelerators rather than rebuilding from scratch.

2. Client Engagement Support

•   Participate in client discussions, discovery calls, and requirement-gathering sessions — capture context with the rigour that makes the next conversation sharper.

•   Convert business needs into solution frameworks and delivery models with guidance from Senior SMEs; document customer priorities so Practice and Sales can act on them.

•   Support pitch decks, case studies, and success stories — buyer-specific, visually clean, and aligned to how the customer thinks about their own problem.

•   Stay engaged through the proposal cycle and handoff to delivery; ensure no requirement gets lost between discovery and execution.

3. Content & Program Structuring

•   Assist in designing curriculum outlines, learning journeys, and hands-on lab structures that hold up against real-world enterprise contexts.

•   Work with internal and external SMEs to ensure content aligns with current industry trends, real use cases, and business outcomes — not generic technology overviews.

•   Maintain a library of reusable program structures, slide assets, and case study inserts; flag gaps in the existing content library proactively.

4. Research & Market Intelligence

•   Track trends across the AI / GenAI / LLM ecosystem and Data Engineering & Analytics — translate findings into usable inputs for outreach, pitching, and offering design.

•   Identify new solution opportunities and product ideas based on market signals, customer asks, and competitor moves.

•   Benchmark StackRoute's offerings against competitors; surface gaps and differentiation angles for Senior SMEs and Practice Leads to act on.

5. Internal Collaboration

•   Work fluidly with Delivery, Sales, and external SMEs to ensure solutions designed on paper actually work in delivery — surface feasibility risks early, not late.

•   Coordinate inputs across Practice teams during pursuit cycles; hand off to delivery with documentation that captures customer commitments and success metrics.

Must Have Technical & Functional Skills

•   Good understanding of terminologies in Data Engineering (ETL, pipelines, data lakes), Data Analytics & BI concepts, and Machine Learning fundamentals, AI tools ( not technical expertise but L1-L2 knowledge should be present from application standpoint).

•   Awareness of GenAI / LLM vocabulary — prompt engineering, RAG, APIs — with enough depth to hold a credible first conversation with a technical stakeholder.

•   Strong PowerPoint skills (client-ready decks), Excel for effort estimation and costing basics, and structured documentation — proposals, SoWs, one-pagers.

•   Strong problem-solving and structured thinking — breaks complex requirements into clear, communicable solutions.

•   Comfortable communicating with both technical and non-technical stakeholders; good storytelling and presentation instincts; understanding of L&D context is a plus.

Qualifications & Experience

Required:

•   5-15 years in the education products, or in solutioning, pre-sales, or consulting roles with exposure of 3-5 years in Data/AI/Analytics.

•   Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related discipline.

Nice to Have competences:

•   Prior pre-sales, proposal writing, or design development experience.

•   Certifications in cloud, data, or AI platforms (AWS, Azure, GCP, or model-provider certifications).

Core Competencies

·      Structured Thinking: Organises ambiguous client and technical inputs into logical, buyer-relevant narratives. Builds proposals that flow from problem to solution.

·      Solution Articulation: Translates Data & AI capabilities into crisp, persona-specific stories. Adapts the pitch for a CTO, L&D Head, or BU Head without losing substance.

·      Research & Synthesis: Gathers and distils large volumes of information into sharp, usable outputs. Knows what to include and what to leave out.

·      Written Communication: Writes a tight brief, a clean slide, and a clear email. Adapts register from internal working notes to buyer-facing collateral.

·      Curiosity & Learning Agility: Picks up new tools, concepts, and sectors quickly. Tracks AI / GenAI shifts proactively rather than waiting to be told what to read.

·      Bias for Action: Ships a useful 10-slide deck on time rather than a polished 20-slide deck that's late. Comfortable with iteration over perfection.

Key Responsibilities  

• Design, build, and optimize scalable data pipelines for AI/ML applications.
• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build production-ready LLM applications using Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Fine-tune open-source and foundation models using domain-specific datasets.
• Develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation.
• Develop APIs and AI services for production deployment.
• Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
• Monitor model performance, troubleshoot production issues, and maintain technical documentation.

Required Skills  

Mandatory  

• 1–3 years of experience in Data Science, Data Engineering, or AI/ML development.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience building LLM-powered applications using RAG, Prompt Engineering, and Embeddings.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, or n8n for LLM orchestration and AI workflow automation.
• Experience in LLM fine-tuning and working with Hugging Face models.
• Knowledge of MLOps concepts including model deployment, monitoring, versioning, and CI/CD.
• Experience with Git, REST APIs, Linux environments, and data processing libraries.

Preferred  

• Experience with vector databases such as Pinecone, Chroma, Milvus, or Weaviate.
• Familiarity with Docker, Kubernetes, and MLflow.
• Exposure to Apache Spark or Airflow for data engineering workflows.
• Experience with cloud platforms (AWS, Azure, or GCP).

Primary Technology Stack  

• Languages & Data Processing: Python, SQL, Pandas, NumPy, Apache Spark
• AI & Machine Learning: PyTorch, TensorFlow, Scikit-learn
• Application Frameworks: LangChain, LlamaIndex, CrewAI, n8n
• Core Methodologies: Retrieval-Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, Embeddings
• Models & Infrastructure: OpenAI APIs, Hugging Face Ecosystem, Embedding Models
• Vector Databases: Pinecone, Chroma, Milvus, Weaviate
• Databases: PostgreSQL, MongoDB
• MLOps & DevOps: Docker, Kubernetes, MLflow, CI/CD, Git
• Cloud Platforms: AWS, Azure, GCP

Experience: 1–3 Years

Domain: Data Science | Data Engineering | Machine Learning | Generative AI | MLOps

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Job Title: AI Developer

Location: Bangalore / Hyderabad

Experience: 5–7 Years

Notice Period: Immediate to 15 days Preferred

About the Role

We are looking for a skilled AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve real-world business problems. You will work closely with data scientists, engineers, and business stakeholders to build scalable AI-powered applications and pipelines.

Key Responsibilities

• Design and develop Machine Learning models, Deep Learning architectures, and NLP solutions for production use.
• Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Integrate AI/ML models into existing applications and APIs.
• Fine-tune and evaluate Large Language Models (LLMs) for business-specific use cases.
• Collaborate with data engineers to ensure high-quality training data.
• Monitor model performance in production and implement retraining strategies.
• Research and evaluate emerging AI frameworks, tools, and technologies.
• Document models, experiments, and technical decisions.
• 
  

Required Skills & Experience

• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with NLP frameworks such as Hugging Face, spaCy, and LangChain.
• Familiarity with LLMs and Prompt Engineering (OpenAI, Anthropic, Gemini, etc.).
• Experience deploying models using FastAPI or Flask (REST APIs).
• Strong understanding of Data Structures, Algorithms, and Statistics.
• Experience with AWS, Azure, or GCP and MLOps tools.
• Experience with Vector Databases such as Pinecone, Weaviate, or FAISS is an added advantage.

We are seeking a Full Stack Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.

Responsibilities:

• Understand business requirements and convert them into technical solution options.
• Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
• Develop POCs and prototypes to validate technical feasibility.
• Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
• Perform technical, scalability, security, and cost feasibility assessments.
• Prepare solution comparison reports, architecture diagrams, and technical recommendations.
• Collaborate with business users, vendors, and engineering teams during evaluations.
• Identify technical risks, assumptions, and implementation dependencies.
• Support engineering teams in transitioning successful POCs into production.
• Maintain clear technical documentation.

Criteria:

·      Bachelor's degree in Computer Science, Information Technology, or a related field.

·      3–5 years of hands-on experience in software development, integration engineering, or solution engineering.

·      Strong coding skills in Python, Node.js, Java, or C#.

·      Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.

·      Hands-on exposure to AWS or another major cloud platform.

·      Experience with Git, Docker, and SQL databases.

·      Excellent analytical, troubleshooting, and communication skills

·      Comfortable collaborating across product, engineering, and business teams

·      Excellent communication, problem-solving, and stakeholder management skills.

Preferred Skills

• Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
• Experience evaluating third-party enterprise software.
• Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.

Ability to create architecture diagrams and technical proposals

About the role

• Conduct job evaluations and market pricing using compensation survey data to ensure roles are benchmarked accurately and consistently. Participate in salary survey submissions and maintain survey vendor relationships.
• Develop and maintain reports, dashboards, and compensation tools to support HR and business decision-making. Analyze internal pay equity and external competitiveness, identifying trends and flagging issues for review.
• Support annual compensation planning processes, including data preparation, system updates, and reporting. Maintain and update compensation data in HRIS systems, ensuring accuracy and data integrity.
• Support the management of global compensation programs, including variable incentive program market evaluation and administrative operations locally. 
• Manage and optimize AI-enabled compensation tools and platforms, including evaluating vendor solutions, designing workflows, configuring models or prompts for compensation use cases, and driving adoption across HR and business stakeholder groups.
• May manage compensation programs, such as recognition and morale programs, including program enhancement, administration, budget oversight, and effectiveness analysis, ensuring alignment with total rewards philosophy and a positive employee experience.
• Ensure data quality, compliance, and alignment with compensation policies by auditing compensation data, enforcing data governance standards, and identifying process improvements across systems such as Workday and external survey platforms.

Who you are

• 8+ years of experience in compensation, rewards, or closely related HR analytics roles supporting program design and administration.
• Experience conducting market benchmarking, participating in or leading salary survey submissions, and applying survey data to develop or maintain salary structures and incentive programs.
• Experience analyzing large data sets to generate compensation insights and recommendations, using spreadsheets and reporting tools to inform decisions for HR and business stakeholders.
• Experience working with HRIS or HCM systems (such as Workday) to support compensation processes and maintain data integrity.
• Experience working with or implementing AI-enabled HR or compensation tools, including vendor evaluation, workflow design, or model/prompt configuration for compensation use cases.
• Experience administering recognition, morale or other ancillary programs, including program design, budget management, and reporting.
• Comfort experimenting with and adopting emerging technologies to improve compensation processes, data analysis, or stakeholder communication.

Ideal Candidate

What You'll Bring

• Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product forward.

Java Developer – Job Description

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL.

We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

Required Skills

• Experience: 4 to 7 years.
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Wissen Technology

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015.

Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

Wissen Technology offers an array of services including:

• Application Development
• Artificial Intelligence & Machine Learning
• Big Data & Analytics
• Visualization & Business Intelligence
• Robotic Process Automation
• Cloud
• Mobility
• Agile & DevOps
• Quality Assurance & Test Automation

We have been certified as a Great Place to Work® for two consecutive years (2020–2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

[Please refrain from applying if you have over 10 years of experience. This is a hands-on role that requires building from the ground up.]

Location: Bengaluru (In-Office)

Employment Type: Full-Time

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

As we expand our AI capabilities, we are looking for a Director, AI Engineering to define and drive the research direction behind our next generation of intelligent systems.

About the Role

This is a hands-on technical leadership role for someone who enjoys solving difficult AI problems and turning research into production impact.

You will lead the research agenda across large language models, reasoning systems, agentic AI, multimodal learning, and intelligent decision support while working closely with engineering, product, and mortgage domain experts. You will prototype new ideas, validate them through rigorous experimentation, and help productionize solutions that directly improve customer outcomes.

This role is ideal for someone with deep research expertise who enjoys building real-world AI systems rather than research for its own sake.

What You'll Do

• Define and execute the Applied AI research roadmap aligned with company and product goals.
• Design novel approaches for document understanding, reasoning, planning, retrieval, and decision support.
• Build agentic AI systems capable of orchestrating tools, workflows, and domain knowledge to solve complex mortgage use cases.
• Develop multimodal AI models that combine documents, structured data, images, and operational context.
• Lead research on long-context reasoning, knowledge integration, memory, retrieval-augmented generation (RAG), and workflow automation.
• Design robust evaluation frameworks, benchmarks, and automated testing pipelines to measure model quality, reliability, explainability, and business impact.
• Rapidly prototype, experiment, and iterate on new AI techniques, evaluating state-of-the-art research for production adoption.
• Work closely with software engineers to translate research prototypes into scalable, production-ready systems.
• Mentor AI engineers and contribute to building a strong research culture within the organisation.
• Collaborate with mortgage domain experts to deeply understand operational workflows, compliance requirements, and decision-making processes.
• Stay current with advances in AI research and identify opportunities to leverage emerging techniques within our platform.
• Represent Logikality in customer interactions, strategic discussions, industry conferences, and business forums, communicating our AI vision, gathering market insights, and helping shape research priorities through direct engagement with customers and ecosystem partners.

What We're Looking For

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; or an engineering degree in Computer Science or related disciplines from a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• 3–8 years of professional experience in Applied AI, Machine Learning, or AI Research, with experience building production-grade AI systems
• Strong expertise in modern AI, including Large Language Models, transformers, agentic AI, reasoning systems, retrieval, multimodal learning, or adjacent areas.
• Strong software engineering skills with Python and modern machine learning frameworks.
• Experience designing and implementing production-grade AI systems that solve complex real-world problems.
• Strong understanding of model evaluation, benchmarking, experimentation, and AI system reliability.
• Experience balancing research innovation with engineering pragmatism and product delivery.
• Excellent problem-solving and communication skills with the ability to collaborate across engineering, product, and business teams.

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This is an opportunity to work at the intersection of cutting-edge AI research and real-world impact, where your ideas won't remain as papers or prototypes; they'll power intelligent systems used every day by mortgage professionals. We are looking for someone who can connect AI, platform engineering, product thinking and customer outcomes.

For the right person, this could develop into a CTO and co-founder track over the next 6–9 months, based on contribution, technical leadership and mutual fit.

Interested candidates are requested to apply via the Google Form given: https://forms.gle/jFqKzfLhNCcCFU5t9

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

About the position:

We are looking to hire a dedicated content writer who understands the impact that content can create. The person of interest would be expected to create seo-friendly content for blogs, articles, social media, sales/marketing collaterals, case studies, company’s website and other formats. The responsibilities would include evaluating analytics, to adjust content as needed, regularly updating the company’s website and promoting the company blog with on-page and off-page activities.

About EasyEcom:

EasyEcom is an eCommerce enablement platform and is an industry-leading omnichannel order & warehouse management solution for B2C and B2B business management. The SaaS software is currently catering to several eCommerce businesses and multichannel retailers like Epigamia, RedTape, Mondelez International, My Glamm, Borosil, Prestige, etc. We are persistently growing, from a few hundred clients to over 7000+ global clients, a handful of dedicated team members to a 200+ members strong team, and being VC funded, we are continuing to expand over and beyond! At EasyEcom, we empower e-commerce businesses to achieve seamless and scalable operations. We help brands navigate the complexities of multichannel selling with ease. The platform integrates with top marketplaces like Amazon, Shopify, eBay, and Flipkart providing businesses with a unified solution to manage their inventory, orders, and fulfillment process from one place. Our SaaS software fuels the growth of leading eCommerce brands and multichannel retailers, including names like Epigamia, RedTape, Lyfcare, Mindful Soul, My Glamm, Borosil, Louis Stitch and Soothe Healthcare. From a humble start with a few dedicated clients, we’ve skyrocketed to support over 7,000+ global businesses, with a growing team now over 200+ strong. Let’s shape the future of e-commerce together.

Responsibilities:

● Conducting in-depth research on industry-related topics and writing original plagiarism-free content.

● Proofreading articles before publishing

● Analyzing content marketing metrics and making changes as needed ● Collaborating with other departments to create innovative content ideas and assist the marketing team in developing content for advertising campaigns.

● Editing the existing content to improve readability

● Recommending new content to address gaps in the company's current content

● Taking care of Guest Blogging initiatives

● Conducting Keyword Research and using SEO best practices to increase website traffic

● Repurpose the content into various forms, including and not limited to slides, videos, podcasts, and infographics

● Promote content on social media.

Requirements:

● Bachelor's degree in Technology or related field with skill development courses across Marketing and/or language command.

● Upto 1 year of experience as a content writer and should provide a portfolio of the published work

● Should be able to work in a fast-paced environment and work on multiple assignments simultaneously.

● Excellent Research, writing and editing skills

● Excellent interpersonal and communication skills

● Thorough hang of GSC, GA4 and other analytical tools (paid/free)

● Hands-on experience with various CMS tools especially WebFlow

● Should be able to quickly get a thorough understanding of the company product.

We are looking for a motivated and enthusiastic Full Stack Intern to join our development team. The ideal candidate should have a strong interest in frontend development, backend systems, and AI/ML technologies, along with a willingness to learn and contribute to real-world projects.

Role: Full Stack Intern

Technologies:

• Frontend: React.js, Next.js
• AI/ML: Basic understanding of Machine Learning concepts and AI integrations

Responsibilities:

• Develop and maintain responsive web applications using React.js and Next.js
• Build and integrate backend APIs and services
• Work with databases and server-side logic
• Assist in AI/ML feature integrations and model implementations
• Collaborate with designers, developers, and team leads
• Debug, test, and optimize application performance
• Participate in code reviews and daily team discussions

Requirements:

• Basic knowledge of React.js and Next.js
• Understanding of JavaScript, HTML, and CSS
• Familiarity with backend development using python or similar technologies
• Basic understanding of REST APIs and databases
• Interest in AI/ML technologies and tools
• Good problem-solving and communication skills
• Ability to learn quickly and work in a team environment

Preferred Skills:

• Knowledge of Git/GitHub
• Experience with MongoDB or SQL databases
• Familiarity with Python for AI/ML projects
• Understanding of deployment and hosting platforms

Internship Details:

• Duration: 6 Months
• Internship Type: Remote
• Stipend: 10000-15000 Based on Performance

If you are passionate about building modern applications and exploring AI-powered solutions, we’d love to hear from you.

Job Title: Senior AI/ML Researcher – Large Language Models

Location: Bengaluru, India

Experience: Ph.D. or M.Tech (3–4 years research experience post-M.Tech)

Employment Type: Full-time

Company Overview

Big Air Lab (https://www.bigairlab.com/) operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We’re seeking a Senior AI/ML Researcher who lives and breathes large-scale models, algorithms, and cutting-edge machine learning. If you’re someone who wants to push boundaries in LLMs, predictive modeling, and applied AI research — while also guiding a team to turn theory into real-world solutions — this is your role.

You’re not just an academic — you’re a builder and a mentor. You’ll drive independent research, publish in reputed journals and conferences, and ensure that what’s on paper becomes code, experiments, and scalable AI solutions. You’ll lead from the front — coding, experimenting, mentoring, and showing what world-class research execution looks like.

Key Responsibilities

• Conduct independent research in Large Language Models (LLMs) and related predictive machine learning fields.

• Lead, mentor, and manage a research team comprising of senior members and interns.

• Publish research findings in reputed journals (preferred) or present at leading conferences.

• Develop and experiment with advanced AI and machine learning algorithms.

• Build, validate, and deploy models using PyTorch and other deep learning frameworks.

• Apply rigorous Object-Oriented Programming principles for developing scalable AI solutions.

• Collaborate closely with cross-functional teams to transition research into applicable solutions.

• Provide thought leadership and strategic guidance within the organization.

Required Qualifications

• Ph.D. in Computer Science, AI, or related fields (IIT or top-tier research institute preferred).
• Candidates with Ph.D. require no additional experience.
• M.Tech/MS in Computer Science, AI, or related fields from a top research institute with 3–4 years of dedicated research experience.
• Proven track record of research in LLMs or related AI domains, demonstrated by at least:
• 1 journal publication (preferred), or
• 4 high-quality conference papers.
• Strong expertise in PyTorch and other deep learning frameworks.
• Solid proficiency in Object-Oriented Programming (OOP).

Preferred Attributes

• Detail-oriented with a rigorous analytical mindset.

• Highly capable of conducting and guiding independent research.

• Strong written and verbal communication skills.

• Ability to clearly articulate complex research findings and strategic insights.

Why Join Big Air Lab?

• Lead groundbreaking research in cutting-edge AI technologies.

• Shape the direction of our newly formed R&D department.

• Enjoy significant professional growth, influence, and recognition within the AI research community.

Key Responsibilities

• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration).

• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines.

• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems.

• Own model performance, reliability, and cost — from experimentation through production deployment.

• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.

• Ensure systems meet the compliance, auditability, and security standards required in regulated financial environments.

What We're Looking For

• 5+ years of experience building and deploying machine learning or AI systems in production.

• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent).

• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued.

• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning).

• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background

• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.

Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory

Mihup is a voice AI company building in-car voice assistance and sound technology for the automotive industry. We power intelligent voice experiences for leading OEMs.

Its solutions integrate automation, real-time assistance, and analytics at scale to enhance accuracy, efficiency, and agility in enterprise operations. Mihup.ai also serves organizations across BFSI, IoT, and other sectors, delivering robust conversation intelligence that supports performance and innovation. With over 1 billion interactions powered, Mihup.ai helps businesses turn voice data into measurable business outcomes and competitive advantage. The company offers a dynamic environment for professionals interested in advanced AI applications in automotive and other industries.

Role Description The AI Engineer will design, develop, and optimize machine learning models and algorithms that power Mihup.ai’s Voice AI and conversation intelligence solutions. Day-to-day responsibilities include building and refining pattern recognition systems, implementing and training neural networks, and developing NLP-based features that improve speech understanding and real-time assistance. The role involves collaborating with product, data, and engineering teams to integrate AI models into production-grade software, monitor performance, and iterate based on user data and business needs. The AI Engineer will also contribute to research, prototyping, and documentation to keep the platform aligned with best practices in AI and scalable software development. This is a full-time, on-site role based in Kolkata/ Bangalore

Qualifications

• Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
• B. Tech, M.Tech, PHD from top tier institutes like IIT, IISC, ISI, NIT, IIIT is mandatory.
• Demonstrated experience with Pattern Recognition and Neural Networks for real-world applications.
• Hands-on expertise in Natural Language Processing (NLP), especially in speech, dialogue, or text analytics.
• Proficiency in Software Development using languages such as Python, Java, or similar, and familiarity with version control and CI/CD.
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries for NLP and deep learning.
• Experience working with large-scale data pipelines, model evaluation, and performance optimization.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
• Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and document solutions effectively.
• Background in voice technologies, speech recognition, or conversational AI is a strong plus.

At Oracle Health, we're transforming healthcare administration through Oracle Health Insurance (OHI), a cloud-native payer platform supporting enrollment, billing, benefits administration, provider payments, and claims adjudication. 

As Oracle expands Oracle Health Insurance capabilities globally, including support for U.S. Medicare, Medicaid, commercial insurance programs, and AI-enabled claims processing, we're investing in engineers who are passionate about building the next generation of healthcare payer solutions.

As an IC3 Software Development Engineer, you will contribute to the design and development of scalable cloud services, healthcare business workflows, and AI-powered capabilities that improve operational efficiency for health plans and government programs.

Responsibilities

As a member of the software engineering division, you will assist in defining and developing software solutions associated with Oracle Health Insurance products. You will design, develop, test, and deploy software components while collaborating with cross-functional teams across product management, architecture, QA, and customer implementations.

Key Responsibilities

• Develop and enhance OHI modules supporting enrollment, benefits, claims, and payments. 
• Build scalable microservices and APIs supporting payer workflows. 
• Contribute to healthcare payer platform capabilities and country-specific configurations. 
• Participate in AI and automation initiatives leveraging LLMs and agent-based solutions. 
• Develop integrations using healthcare standards and EDI transactions. 
• Troubleshoot production issues and support continuous improvement initiatives. 
• Collaborate with distributed engineering teams to deliver high-quality software. 

Mandatory Qualifications

• BS/MS in Computer Science or related field. 
• 4-6 years of software engineering experience. 
• Strong programming skills in Java and/or Python. 
• Experience with REST APIs and distributed systems. 
• Strong SQL and database fundamentals. 
• Experience with cloud technologies (OCI, AWS, or Azure). 
• Knowledge of software design patterns and object-oriented design. 
• Experience working in Agile development environments. 
• Familiarity with CI/CD pipelines and automated testing. 
• Experience leveraging AI-assisted software development tools and modern developer productivity technologies. 

Preferred Qualifications

• Healthcare payer domain knowledge. 
• Exposure to claims processing, enrollment, benefits administration, or provider payments. 
• Familiarity with Medicare, Medicaid, or commercial insurance workflows. 
• Experience with GenAI, prompt engineering, or AI agents.

Total Experience: 4+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.

The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.

What will you do?

• Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
• Integrate LLMs and AI APIs into production-grade applications.
• Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
• Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
• Build responsive, performant, customer-facing interfaces with React/Next.js.
• Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage: 

• You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster. 
• Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

• Solid fundamentals: problem-solving, data structures, and how systems fit together. 
• At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB). 
• You write clean, production-grade code and you ship.
• Knowledge of application security or ethical hacking is an advantage.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

🚀 Hiring | AI Video Producer | Full-Time | 📍 Bengaluru

About the company:

RPlus Analytics is a UK-based company established in 2012, headquartered in Preston, UK, with an office in Bengaluru. We are into Data Analytics and Artificial Intelligence and are expanding into AI-powered content and media production.

Role Responsibilities

• Manage end-to-end AI video production workflows

• Coordinate editors, designers, and AI creators to ensure timely delivery

• Review video output and maintain quality standards

• Build and optimize AI video production processes

• Convert briefs, scripts, and ideas into clear execution plans

• Manage project timelines, priorities, and deliverables

• Ensure consistency in storytelling, pacing, and visual quality

• Create and edit videos when required

Requirements

• Strong understanding of AI-powered video production workflows

• Hands-on experience with ChatGPT, Claude, Gemini, ElevenLabs, HeyGen, Nano Banana, and Google Flow

• Proficient in Adobe Premiere Pro and After Effects

• Experience managing creative projects or teams

• Strong prompting, communication, and project management skills

• Good understanding of storytelling, content strategy, and creative execution

• Proactive, organized, and execution-focused

📍 Only Bengaluru-based candidates or candidates willing to relocate may apply.

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Strong Senior AI/ML / GenAI / AI Engineer Profiles

Mandatory (Experience 1) – Must have minimum 5+ years of total software development experience, with at least 2+ years working on Gen AI / AI / LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Key Responsibilities

AI/ML & Python Development

• Design, develop, and integrate AI-powered solutions and intelligent features using Python.
• Build and implement Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval and contextual AI responses.
• Develop AI applications using modern frameworks and tools such as LangChain, LlamaIndex, and AI Agents/Autonomous Workflows.
• Integrate Large Language Model (LLM) APIs, including OpenAI and similar platforms, into enterprise-grade applications.
• Design, implement, and manage vector databases to enable semantic search and AI-driven information retrieval.
• Collaborate with cross-functional teams to evaluate, fine-tune, and optimize AI models for performance, scalability, and accuracy.
• Stay updated with emerging AI technologies, frameworks, and industry best practices to drive innovation.

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Strong AI/ML Engineer Profile

Mandatory (Experience) : Must have 3+ years of experience in software engineering with atleast 1+ years in GenAI application development and production deployment

Mandatory (GenAI Application Development): Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning

Mandatory (Production GenAI Deployment): Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts

Mandatory (ML & Data Science Tooling): Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch

Mandatory (Cloud ML Infrastructure): Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP

Mandatory (Communication): Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders

Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month

Mandatory (Note 2) : CTC is inclusive of 10% variable

Mandatory (Note 3): Candidates should be available to join within May 31st or June first week max

Founder’s Office Associate

PGAGI + Toingg | Bangalore (ON-SITE)

About Us

PGAGI is an AI-native studio building AI transformation systems and products for modern businesses.

Toingg is our AI communication OS focused on voice + text AI systems that drive measurable business outcomes.

We are currently at a high-growth stage:

• PGAGI is growing rapidly and expanding from mid-market clients into enterprise, government, and public-sector opportunities.
• Toingg is gaining strong traction, currently at ~$12K ARR with a growing pipeline capable of adding significant recurring revenue in the coming months.
• We are building in one of the fastest-moving industries globally — AI products, voice AI, automation, and AI-native communication systems.

We are now looking for one exceptionally sharp individual to work directly with the founder in the Founder’s Office.

Role Overview

This is not a conventional operations role.

As part of the Founder’s Office, you will work closely with the founder across multiple high-impact business functions, helping the company scale faster while creating structure and execution clarity.

You will operate at the intersection of:

• Business strategy
• Sales execution
• Enterprise growth
• AI-native operations
• Internal systems
• Client coordination
• Content and distribution

This role is designed for someone who thrives in high-speed environments, learns quickly, takes ownership naturally, and enjoys solving complex operational and strategic problems.

Key Responsibilities

Business & Founder Support

• Work directly with the founder on strategic initiatives and daily execution
• Assist in decision-making, research, follow-ups, and execution management
• Help prioritize opportunities and ensure operational momentum

Sales & Enterprise Growth

• Support enterprise deal execution and pipeline management
• Coordinate with potential clients, partners, and stakeholders
• Assist in government and public-sector opportunity tracking

Operations & Systems

• Build and improve internal systems and workflows
• Create operational structure across fast-moving teams
• Use AI tools to automate and optimize workflows wherever possible

AI-Native Workflow Management

• Implement and manage AI-assisted systems across departments
• Explore tools, automations, and integrations to improve execution speed
• Help scale internal productivity using AI

Client Communication & Execution

• Manage communication follow-ups and execution tracking
• Coordinate across internal teams and external stakeholders
• Ensure projects move smoothly without operational bottlenecks

Content & Distribution

• Assist with social media growth and distribution initiatives
• Support content operations and audience expansion strategies
• Contribute to scaling AI-driven content systems

Who We’re Looking For

We are looking for someone who is:

• High-agency and ownership-driven
• Extremely fast in execution
• Proactive without requiring constant supervision
• Comfortable working directly with founders
• Strong in communication and coordination
• Curious about startups, business, sales, and growth
• Comfortable balancing strategy with execution
• AI-native and comfortable using modern AI tools
• Hungry to build meaningful long-term outcomes

You do not need to know everything on Day 1.

But you must be capable of learning quickly, adapting fast, and operating with urgency.

Preferred Qualifications

Bonus points if you have:

• Prior Founder’s Office experience
• Startup operating experience
• Experience using AI tools and automation systems
• Exposure to B2B sales or enterprise deals
• Strong understanding of social media/content distribution
• Experience building operational systems
• Ability to thrive in fast-paced founder-led environments

Why This Role Matters

We are entering a critical growth phase:

• Larger enterprise opportunities
• Government and public-sector expansion
• AI communication systems scaling rapidly
• Internal AI infrastructure evolving quickly

There are significant opportunities ahead — but also increasing complexity.

We need someone who can help create order from chaos, improve execution velocity, and scale operations alongside the founder.

Compensation & Growth

What You’ll Get

• Fixed compensation
• High-performance incentives and commissions
• Direct exposure to founder-level decision-making
• Real ownership and responsibility
• Opportunity to grow into leadership roles

Long-Term Growth

This role begins with an intensive 3-month execution-focused period.

Based on performance, trust, and contribution, there is potential to:

• Move into a leadership role
• Become part of the core founding team
• Receive vested equity after 6 months

We are not looking to hire someone for “just another job.”

We are looking for someone who wants to build with us long-term.

Work Environment

Location

Bangalore (ON-SITE)

We work in a highly collaborative, fast-moving environment.

Accommodation support and basic living arrangements can also be provided for the right candidate.

Our philosophy is simple:

• Work closely
• Move fast
• Build together
• Win together

How to Apply

Send us:

• Your resume/profile
• A short note covering:
• Why this role interests you
• What you have built, operated, or executed before
• Why you believe you can work directly with a founder

We care more about ownership, execution ability, and learning speed than traditional credentials.

Job Description:

As a QA Associate at Binocs, you will play a pivotal role in ensuring the highest quality standards for our software products. With a direct reporting line to the QA Lead, you will be involved in designing, implementing, and executing test plans to identify software issues. This role is ideal for someone with a strong technical background in engineering, experience in fintech or finance software companies, and a passion for quality assurance and detail-oriented testing.

Key Responsibilities:

• Test Plan Development: Create comprehensive and well-structured test plans and test cases based on product specifications.
• Quality Assurance: Execute test cases (manual or automated) and analyze results to ensure software quality.
• Issue Documentation: Document and track bugs, as well as collaborate with the development team to ensure timely resolution.
• Process Improvement: Identify, recommend, and implement improvements in testing processes to enhance efficiency and quality.
• Software Validation: Validate that product features meet requirement specifications and are free of defects.
• Cross-functional Collaboration: Work closely with the product management and development teams to understand product vision and deliver software that aligns with customer and market needs.

Qualifications:

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 2+ years of experience in quality assurance, preferably within fintech or finance software companies.
• Familiarity with software QA methodologies, tools, and processes.
• Experience in writing clear, concise, and comprehensive test plans and test cases.
• Hands-on experience with both white box and black box testing.
• Strong knowledge of software QA metrics, including bug tracking and reporting tools.
• Excellent analytical skills and attention to detail.
• Effective communication skills and the ability to work in a fast-paced environment.

Benefits:

Joining Binocs means being part of a passionate team dedicated to transforming the loan management landscape. We offer a dynamic, innovative environment where your work directly contributes to our vision of efficient, transparent, and data-driven loan management. Our competitive compensation package, including equity, reflects our commitment to attracting and retaining top talent.

About Us:

Binocs.co empowers institutional lenders with next-generation loan management software, streamlining the entire loan lifecycle and facilitating seamless interaction among stakeholders.

Team: Binocs.co is led by a passionate team with extensive experience in financial technology, lending, AI, and software development.

Investors: Our journey is backed by renowned investors who share our vision for transforming the loan management landscape: Beenext, Arkam Ventures, Accel, Saison Capital, Blume Ventures, Premji Invest, and Better Capital.

Software Development Engineer (SDE) – Mobile / Full-Stack Developer (IoT & AI)

Company: PGAGI Consultancy Private Limited 

Industry: AI & Emerging Technology Startup 

Role Type: Full-Time 

Work Mode: Work From Office 

Experience Required: Minimum 2 Years 

Location: Bangalore

About PGAGI

PGAGI Consultancy Private Limited is an AI-driven technology startup focused on building intelligent, scalable, and real-world digital solutions across AI & next-generation software systems.

We are looking for highly driven engineers who enjoy solving practical problems, building production-ready systems, and working across multiple technologies in a startup environment.

About the Role

We are looking for an SDE with strong React Native mobile development experience, full-stack development knowledge, and a clear background in IoT-based systems.

The candidate should have hands-on experience working with mobile applications that interact with IoT devices, sensors, hardware systems, real-time device data, or cloud-based IoT platforms.

Knowledge of AI-based systems, AI integrations, automation workflows, LLMs, or AI-powered product features will be considered a strong advantage.

The ideal candidate should also have basic team-leading capability, ownership mindset, and the ability to manage technical execution with a small development team.

Key Responsibilities

1. Develop and maintain mobile applications using React Native.
2. Build scalable, reusable, and production-ready mobile app components.
3. Integrate mobile applications with backend APIs, databases, and cloud services.
4. Work on IoT-based integrations, including:

• Device-to-app communication
• Sensor data handling
• Real-time device monitoring
• MQTT / WebSocket-based communication
• Hardware-software interactionIoT dashboard or control system integration

5.Collaborate with hardware, backend, frontend, AI, and product teams.

6.Work on AI-enabled features where required, such as:

• AI-based automation
• Data analysis
• AI alerts or recommendations
• LLM/API integrations
• Smart monitoring or decision-support systems

7.Lead small development tasks and guide junior developers.

8.Review code, debug issues, and improve application performance.

9.Participate in architecture planning and technical decision-making.

10.Ensure proper documentation of mobile flows, APIs, IoT integrations, and system logic.

Required Skills

• Minimum 2 years of experience in React Native mobile development.
• Strong knowledge of JavaScript / TypeScript.
• Experience in mobile app development for Android and/or iOS.
• Hands-on exposure to IoT systems or IoT-enabled applications.
• Experience working with IoT device data, sensors, MQTT, BLE, Wi-Fi modules, embedded systems, or real-time hardware communication.
• Experience with REST APIs, WebSockets, and real-time data handling.
• Basic full-stack development knowledge using Node.js, Python, FastAPI, Express.js, or similar backend technologies.
• Database knowledge such as MongoDB, PostgreSQL, Firebase, or similar.
• Understanding of Git, debugging, deployment, and development workflows.
• Ability to lead tasks, coordinate with team members, and take ownership of delivery.

AI Knowledge — Strong Priority

Candidates with knowledge or experience in the following will be preferred:

• AI-powered applications
• LLM API integrations
• OpenAI / Gemini / Claude APIs
• AI automation workflows
• AI-based monitoring or analytics
• Predictive alerts or recommendation systems
• AI agents or intelligent assistants
• Prompting and AI workflow design

Good to Have

• Experience with AWS IoT, Azure IoT, Google Cloud IoT, Firebase, or similar platforms.
• Experience with MQTT brokers, BLE, embedded hardware, Raspberry Pi, Arduino, ESP32, or similar devices.
• Native Android/iOS development knowledge.
• Experience building dashboards for IoT monitoring or device control.
• Prior experience in AI + IoT projects.
• Previous experience leading a small development team.

Candidate Expectations

• Must be comfortable working from the office.
• Should have strong ownership and problem-solving ability.
• Should be able to work across mobile, backend, IoT, and AI-related modules.
• Should communicate clearly with both technical and non-technical teams.
• Should be disciplined with timelines, documentation, and reporting.
• Should be capable of guiding junior developers and coordinating execution.

Why Join PGAGI?

- Opportunity to work on cutting-edge AI + IoT products.

- Fast learning and high-growth startup environment.

- Exposure to real-world intelligent systems and scalable architectures.

- High ownership and direct product impact.

- Collaborative engineering culture focused on innovation and execution.

We are looking for an experienced Business Analyst with 10+ years of experience to lead AI product initiatives and guide the BA team. The role involves understanding business needs, gathering requirements, creating documents like BRDs, FRDs, and user stories, and coordinating with teams such as engineering, AI/ML, QA, design, and product.

The candidate should have knowledge of AI/ML concepts, strong stakeholder management skills, and experience building products from scratch. They will also mentor junior BAs, conduct UAT testing, support Agile/Scrum processes, and help deliver AI-driven solutions successfully.

Key responsibilities include:

• Requirement gathering and solution analysis
• Stakeholder communication and workshops
• Documentation and project coordination
• UAT and QA support
• Team leadership and mentoring
• Working on AI-powered products and automation solutions
• Ensuring ethical and compliant AI practices

Preferred experience includes exposure to Generative AI, LLMs, AI agents, SaaS products, and tools like Jira, Confluence, Figma, and Miro. 

What You’ll Be Doing:

• Design and develop advanced AI/ML models to solve complex business problems
• Work closely with cross-functional teams including data engineers and domain experts
• Perform exploratory data analysis, data cleaning, and model development
• Translate business challenges into data-driven solutions and actionable insights
• Drive innovation in advanced analytics and AI/ML capabilities
• Communicate model insights effectively to both technical and non-technical stakeholders

What We’re Looking For:

• 5+ years of experience in AI/ML model development
• Strong foundation in mathematics, probability, and statistics
• Proficiency in Python and exposure to Azure Machine Learning / Databricks
• Experience with supervised & unsupervised learning techniques
• Domain exposure to Energy / Oil & Gas value chain (preferred)
• Strong problem-solving, stakeholder management, and communication skills