50+ Artificial Intelligence (AI) Jobs in India

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3

Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4

Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5

Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6

Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

7

Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8

Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9

Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10

Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11

Mandatory (Age) - Candidate's Age should be below 37 years.

12

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13

Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14

Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15

Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Strong AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

3

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

4

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

5

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

6

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

7

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

8

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

9

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

10

Mandatory (Age) - Candidate's Age should be below 30 Years

11

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

12

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

13

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

14

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies

15

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

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

Looking for an internship where you'll work on real products?

At Ungrammary, you'll contribute to live product design projects from day one, working alongside designers building products used by millions. We are an award-winning UX/UI design agency, known for fintech, SaaS, health tech, consumer, and enterprise products. Trusted by 100+ global brands including Adobe, Kotak, Brooks, VMware, Fossil, and many more!

✨ What you'll do

• Design user flows, wireframes, and high-fidelity UI

• Contribute to real product design projects

• Learn and apply design systems

• Understand interaction design and user behaviour

• Collaborate with designers and cross-functional teams

🔍 We're looking for

• Strong visual design and UX fundamentals

• Proficiency in Figma

• Curiosity, initiative, and a willingness to learn

• A portfolio (student projects are welcome)

🌱 What you'll get

🎯 Work with teams serving clients who value design

💫 Strengthen decision making through hands-on projects

✨ Build a portfolio with measurable impact

💼 Potential full-time role at Ungrammary upon completion

→ Remote-first team (India)

📌 Full-time internship

AI Engineering Lead – Air Cargo Practice

Position Summary

Lead the company's Artificial Intelligence strategy, development, and deployment of AI powered solutions for air cargo revenue management, dynamic pricing, demand forecasting, and optimization. This role combines AI leadership, software engineering, data science, and airline cargo domain expertise to deliver innovative products that improve airline revenue, capacity utilization, and commercial decision-making.

Key Responsibilities -

• Define and execute the AI roadmap aligned with company strategy and product vision.
• Design and deploy AI, Machine Learning, Generative AI, and Agentic AI solutions.
• Build scalable AI platforms, MLOps processes, and governance frameworks.
• Collaborate with product, engineering, commercial, and customer teams.
• Lead and mentor AI engineers and data scientists.
• Support customer engagements, product demonstrations, and thought leadership.

Qualifications -

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Operations Research, Engineering, or related field. -
• 10+ years of experience in AI/ML, software engineering, or advanced analytics.
• 3+ years leading AI, machine learning, or data science teams.
• Expertise in Python, Machine Learning, Deep Learning, Generative and Agentic AI, LLMs, optimization, and cloud platforms
• Experience deploying production-grade AI solutions. - Knowledge of revenue management, pricing, forecasting, or optimization systems.
• Air cargo, airline, logistics, or transportation industry experience preferred. Success Measures
• Deliver AI-powered pricing and revenue optimization capabilities.
• Improve forecast accuracy and pricing effectiveness.
• Launch Agentic AI solutions that automate commercial decision-making.
• Establish scalable AI engineering practices and governance.
• Position the company as an industry leader in AI-driven air cargo revenue management.

Ideal Candidate

A hands-on AI leader who can bridge advanced technology and business value, capable of leading a group of Data Scientists, engaging with airline executives, and delivering innovative AI solutions that drive measurable revenue and profitability improvements.

About the company

The client is building an AI-native platform for modern law firms.

Legal work is evolving rapidly, but much of the industry's workflow continues to rely on fragmented software and manual processes. The team is building an intelligent platform that helps law firms streamline work across the entire legal lifecycle, including document screening, drafting, filing, research, compliance, and other high-value legal workflows.

Their founding team combines deep expertise across both law and technology, giving us a unique perspective on how AI can fundamentally reshape legal operations while maintaining the precision and reliability that the profession demands.

We're looking for engineers who want to build products from first principles, move quickly, and help define the future of AI in legal technology.

About the role

We're hiring a Founding Software Engineer to help build the core platform from the ground up.

This is a high-ownership role. You'll work across backend systems, AI infrastructure, product architecture, and deployment, collaborating directly with the founders to design and ship features that reach customers quickly.

If you enjoy solving hard engineering problems, shipping fast, and working in a small, ambitious team, we'd like to talk.

What You'll Build

• AI-powered legal workflows for law firms
• Agentic systems for drafting, screening, and legal document analysis
• Reliable backend services and APIs
• Retrieval and knowledge systems for legal intelligence
• Evaluation pipelines to improve AI quality and reliability
• Internal developer tooling and scalable platform infrastructure

What We're Looking For

• 3-5 years of software engineering experience
• Strong Proficiency in at least one backend language: Python (FastAPI or Django), or Node.js
• Experience working with at least one database: MongoDB, PostgreSQL, MySQL, or another relational database
• Understanding of modern AI application architecture, including concepts such as: Agentic systems AI SDKs Retrieval-Augmented Generation (RAG) Prompt engineering Evaluation frameworks (Evals)
• Strong system design and problem-solving skills
• Ability to ship production-quality software quickly
• High ownership and bias toward execution
• Comfortable learning new technologies as the product evolves

Nice to Have

• Experience building products in Compliance, FinTech, RegTech, or LegalTech
• Experience deploying and operating AI-powered production systems
• Familiarity with cloud platforms and modern deployment workflows
• Experience working in an early-stage startup

What We Value

• High agency
• Strong engineering fundamentals
• Curiosity and continuous learning
• Fast execution without compromising quality
• Clear communication and collaborative problem solving

Why Join Us

• You'll be joining at the earliest stage of the company and will help shape both the product and the engineering culture.
• This is an opportunity to work directly with founders who combine legal and technical expertise, solve meaningful problems for the legal industry, and build AI systems that are used every day by legal professionals.
• If building from zero excites you more than maintaining legacy systems, we'd love to hear from you

Company Description

Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that

specializes in digital services for startups to fortune-500s. We work closely with our clients to

create a comprehensive soul for their brand in the online world, engaged through multiple

platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think

out of the box or tread the un-trodden path in order to deliver the best results for our clients.

We pride ourselves on Practical Creativity where the idea is only as good as the returns it

fetches for our clients.

Key Purpose of the Role:

Python backend developer will design and develop scalable, secure, and high-performance

backend systems for modern web and enterprise applications. While the primary focus is on

application development, the role requires a working understanding of AI technologies

including large language models (LLMs), agent-based systems, and Retrieval-Augmented

Generation (RAG) to support integration and collaboration with AI-focused teams.

Principal Responsibilities:

● Architect and develop robust backend services and APIs using Python and modern

frameworks (e.g., FastAPI, Flask).

● Design and optimize database schemas and queries using SQL and NoSQL technologies.

● Collaborate with frontend, product, and AI teams to integrate intelligent features into

applications.

● Ensure backend systems are secure, scalable, and maintainable through best practices

and DevOps workflows.

● Support the integration of AI-powered services (e.g., LLM APIs, RAG pipelines) into

application workflows.

● Participate in code reviews, mentor junior developers, and contribute to technical

decision-making.

Essential Skills

● Python Backend Development: Expertise in building and maintaining scalable backend

systems.

● Database Management: Strong proficiency in SQL and experience with relational and

NoSQL databases.

● API Design & Integration: Experience with RESTful APIs and microservices architecture.

● DevOps Practices: Familiarity with Docker, Git, CI/CD pipelines, and cloud deployment.

Overall Skills and Experience

● Exposure to AI concepts such as LLMs, agents, and RAG pipelines, with ability to

collaborate on integration.

● Experience working with cloud platforms (AWS, Azure, GCP) and container

orchestration.

● Understanding of security best practices, performance optimization, and system

monitoring.

● Ability to work in agile teams and communicate effectively across technical and

non-technical stakeholders

Qualifications

Essential

● Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related

field.

● 5+ years of professional experience in Python backend development and application

architecture.

Desirable

● Certifications in Python, cloud platforms, or DevOps tools.

● Exposure to AI/ML libraries or platforms (e.g., Hugging Face, LangChain) and experience

integrating AI services.

● Experience in cross-functional teams building AI-enhanced applications

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.

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

We are looking for Senior AI Engineers with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows.

You’ll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals.

What is this position about?

• Design, develop, and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.

Qualifications

• 4+ years of experience in building and deploying AI/ML or GenAI solutions in production environments.
• Strong experience with at least one major cloud platform (Azure, AWS, or GCP) for building and deploying AI/ML solutions.
• Experience with services such as Azure ML, AWS Bedrock/SageMaker, GCP Vertex AI, Databricks, or equivalent AI/ML platforms is preferred.
• Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Hands-on experience with RAG architecture, prompt engineering, and LLM-based application development.
• Experience with MLOps/LLMOps pipelines, model tracking, observability, and CI/CD using tools such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, MLflow, or equivalent platforms.
• Familiarity with enterprise data integration and orchestration tools such as Azure Data Factory, Synapse, Databricks, Airflow, Kafka, or equivalent distributed data platforms.
• Strong backend engineering and API development experience using FastAPI, Flask, Node.js, or similar frameworks, with ability to build scalable AI-powered services and microservices.
• Excellent problem-solving, debugging, and collaboration skills.

Good to Have

• Experience building production-grade RAG systems using vector databases such as Pinecone, FAISS, ChromaDB, pgvector, Milvus, or Azure AI Search.
• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, MCP, or Google ADK.
• Familiarity with AI observability and evaluation tools such as LangSmith, Langfuse, RAGAS, MLflow, App Insights, or Prometheus/Grafana.
• Experience deploying AI systems using Docker, Kubernetes, serverless architectures, or container orchestration platforms.

Additional Information

• Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. 
• Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
• Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
• Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
• Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3

Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4

Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5

Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6

Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

7

Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8

Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9

Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10

Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11

Mandatory (Age) - Candidate's Age should be below 37 years.

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.

About CombineHealth

CombineHealth builds AI employees for healthcare revenue cycle management — agents that automate medical coding, billing, eligibility checks, denial management, and appeals for hospitals and physician groups across the US. Our platform runs in production at 97%+ coding accuracy across live customers, integrated with Epic, Cerner, athenahealth, and other major EHRs.

Before You Apply — Read This First

4 days/week in our HSR Layout, Bangalore office. Remote or fully-hybrid-light setups won't work for this team.

Regular overlap with US business hours. Our customers, most of our leadership, and key stakeholders are US-based. You'll need flexibility for calls and collaboration that land in US morning/afternoon (India evening/night) on a recurring basis, not occasionally.

If either of these is a dealbreaker, save yourself and us the time — this isn't the role.

What You'll Actually Do

This is an agent-engineering role. Our systems are LLM-based agents, and the hard part isn't training models — it's making autonomous, multi-step systems reliable and auditable on regulated, high-stakes data. You'll build the agents and own getting them into production reliably. Roughly:

• Build AI agents that read unstructured clinical and claims documentation and produce structured, auditable outputs — codes, claim decisions, denial root causes, appeal drafts
• Design the agent architecture: multi-step orchestration, tool/function calling, retrieval, and context engineering — plus the prompt and evaluation loop that makes it reliable, not just good in a demo
• Build eval harnesses and regression suites with hard accuracy bars. "The eval moved" is the unit of progress here — if you can't measure whether a change helped, it didn't happen
• Own reliability and observability in production: tracing, logging, latency, cost, failure handling — and yes, the pager when your agent breaks at 11pm US time
• Design confidence-threshold and human-in-the-loop review systems — this is regulated, high-stakes data; "mostly right" isn't good enough, and every decision needs a traceable rationale
• Work directly with product and RCM domain experts to translate messy real-world payer behavior into agent requirements
• Own your systems end-to-end: if it breaks in production, you're the one who gets paged, not someone else

What We Need

• 5+ years shipping production software, with real depth building LLM-based systems — agents, RAG, structured extraction. Production systems with real users and real data, not POCs or research. Tenure in classical ML or CV is not what we're screening for.
• Strong engineering fundamentals. You write production-grade Python, not notebooks. You design systems, handle failure paths, and care about latency and cost.
• Fluency in the LLM application stack: prompt and context engineering, tool/function calling, retrieval, and — most important — eval-driven development. You know how to measure whether a change actually improved the system.
• Comfortable owning your system in production end-to-end: deployment, observability, tracing, debugging live issues, cloud (AWS/GCP/Azure). We're not expecting a dedicated infra specialist, but you own your agent in production — you don't throw it over a wall.
• Experience with unstructured/messy real-world text where the output has to be accurate and explainable. Healthcare is a bonus, not a requirement — legal, financial services, insurance, or other high-stakes-accuracy domains count.
• Demonstrated ability to work independently and make judgment calls. We will not micromanage you, and we need people who don't need it.
• Comfortable in a fast-moving startup environment: ambiguity, shifting priorities, and building things that don't have a textbook answer yet.
• Degree from a Tier-1 engineering institute (IIT/IISc or equivalent) is a plus, but we care far more about what you've shipped than where you studied

Nice to Have (Not Required)

• Exposure to healthcare claims, medical coding (CPT/ICD-10/HCPCS), or RCM workflows
• Experience in a regulated data environment (HIPAA, SOC 2, or similar)
• Fine-tuning, distillation, or building smaller task-specific models where a general LLM is too slow or expensive

What Success Looks Like in 6 Months

• You own at least one production model/agent end-to-end — from data to deployment to monitoring
• You've meaningfully improved an accuracy, latency, or automation-rate metric on a live customer workflow
• You can independently debug a production issue in your system without pulling in a senior engineer to hold your hand

How to Apply

Please click on the link and fill in the details: https://forms.gle/sM2yRHGzxxWH4kVG7 

Direct Responsibilities

• Develop microservices in Golang/Python with Docker & Kubernetes.
• Design and maintain REST APIs and Kafka-based event-driven systems.
• Optimize SQL databases and write automated tests (Cucumber).
• Use BitBucket, Jenkins & Artifactory for CI/CD.
• Troubleshoot and optimize system performance.
• Collaborate on Al/ML initiatives, including NLP, Agentic Al, and MLORS-

Job Title: QA Engineer – Manual Testing

Experience: 3 – 5 Years

Location: Mohali (Phase 8B, Industrial Area)

Company: 75WAY Technologies Pvt. Ltd.

Key Responsibilities

• Design, develop, and execute comprehensive manual test cases, test scenarios, and test plans.
• Perform functional, regression, integration, system, smoke, and sanity testing.
• Test AI/ML applications, including chatbot workflows, LLM-based features, recommendation engines, and intelligent automation systems.
• Validate AI-generated responses for accuracy, relevance, consistency, and edge-case handling.
• Test REST APIs using tools like Postman or Swagger.
• Identify, document, track, and verify defects using bug-tracking tools.
• Collaborate with developers, AI engineers, business analysts, and product managers to understand requirements and validate implementations.
• Conduct cross-browser, cross-platform, and responsive testing for web and mobile applications.
• Verify application performance from a functional perspective and ensure seamless user experience.
• Participate in sprint planning, requirement reviews, and release validation.
• Prepare detailed test reports and maintain testing documentation.
• Suggest improvements to QA processes and testing methodologies for AI-driven applications.

AI Native Sales & Business Development Intern (3-Month Internship)

Location: Remote (Anywhere in India)

Duration: 3 Months

Employment Type: Internship

About the Role

Are you interested in Sales, Business Development, and AI-powered customer engagement?

We're looking for an AI Native Sales & Business Development Intern to support our growing AI-first IT Services & Product business. You'll gain practical exposure to B2B sales, AI-assisted prospecting, CRM management, client communication, and consultative selling.

This internship is ideal for candidates who enjoy communicating with people, building relationships, and driving business growth.

Key Responsibilities

• Research and identify potential B2B clients using AI-powered prospecting tools.
• Generate qualified leads through LinkedIn, email campaigns, and outbound outreach.
• Schedule discovery meetings with decision-makers.
• Maintain CRM records and sales pipelines.
• Assist in preparing proposals and client presentations.
• Conduct market and competitor research.
• Support the sales team with follow-ups and relationship management.
• Learn consultative selling for AI, Cloud, Software Development, and Digital Transformation services.

Required Skills

• Excellent verbal and written English communication.
• Strong interpersonal skills.
• Basic understanding of Business Development or Sales.
• Familiarity with LinkedIn.
• Ability to conduct online research.
• Willingness to learn AI-powered sales techniques.
• Self-motivated with a proactive attitude.

Preferred Skills

• Lead Generation
• Cold Email Outreach
• CRM tools (HubSpot, Zoho CRM, Salesforce)
• Microsoft Excel / Google Sheets
• Negotiation Skills
• Sales Automation Tools

Who Can Apply?

• Final-year students
• Recent graduates
• Freshers interested in B2B Sales and Business Development
• Candidates looking to build a career in Enterprise Sales

What You'll Learn

• AI-assisted Prospecting
• B2B Enterprise Sales
• CRM Management
• Sales Automation
• Client Relationship Management
• Negotiation Techniques
• Consultative Selling

Performance Metrics

• Qualified leads generated
• Meetings booked
• Opportunities created
• CRM accuracy
• Conversion rate
• Initiative and continuous improvement

What We Offer

• Live client exposure
• Mentorship from experienced professionals
• Internship Certificate
• Letter of Recommendation for top performers
• Opportunity for a Full-time role based on performance

Are you a Python-savvy developer with experience & portfolio of working on python, AI, ML projects looking to work on innovative projects? Look no further! SJTech Solutions is seeking an ambitious and talented candidate to join our dynamic team. 

Key responsibilities:

1. Develop and implement AI models using Python, Machine Learning, Data Science, and Deep Learning techniques.

2. Working on deep learning and machine learning algorithms

3. Working on automation scripts

4. Working on supervised and unsupervised learning algorithms

5. Stay up-to-date with the latest advancements in AI technology and trends.

If you are passionate about AI and eager to work and grow in a fast-paced environment, we want to hear from you! Apply now!

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3

Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4

Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5

Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6

Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

7

Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8

Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9

Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10

Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11

Mandatory (Age) - Candidate's Age should be below 37 years.

12

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13

Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14

Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15

Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Job Title: AVP – Marketing

Experience: 5–7 Years

Location: Hyderabad

Employment Type: Full-Time

About the Role

P99Soft is looking for an experienced AVP – Marketing to build, lead, and scale an integrated B2B marketing function that drives brand awareness, demand generation, account engagement, and revenue growth. The ideal candidate will have a strong background in B2B technology/IT services marketing, with expertise in content marketing, SEO, paid media, Account-Based Marketing (ABM), inbound demand generation, partner marketing, and marketing operations.

The role requires close collaboration with Sales, SDR, Alliances, Pre-sales, Delivery, and CoE teams to execute high-impact marketing strategies that contribute to qualified pipeline and business growth.

Key Responsibilities

Marketing Strategy & Brand Positioning

• Develop annual and quarterly marketing strategies aligned with revenue goals, target industries, geographies, and service offerings.
• Define brand positioning, messaging, and value propositions focused on business outcomes.
• Manage the integrated marketing calendar and allocate budgets across marketing channels.
• Ensure consistent brand messaging across the website, social media, campaigns, sales collateral, and partner platforms.

Team Leadership & Marketing Operations

• Lead and manage SEO, Content, Social Media, Digital Marketing teams, agencies, and vendors.
• Define team KRAs, performance metrics, delivery standards, and review processes.
• Implement and manage CRM, marketing automation, analytics, and attribution frameworks.
• Build dashboards to track campaign performance, brand visibility, lead conversion, account engagement, pipeline contribution, and marketing ROI.

Thought Leadership & Content Marketing

• Develop a structured content strategy including:
• Articles
• Blogs
• White Papers
• Case Studies
• Solution Briefs
• Videos
• Webinars
• Executive Thought Leadership
• Collaborate with Leadership, Delivery, and CoE teams to transform technical expertise into customer-focused content.
• Create buyer-specific, industry-specific, and service-specific content throughout the customer journey.
• Measure content effectiveness based on engagement, lead generation, sales utilization, and pipeline influence.

Inbound Marketing, Paid Media & SEO

• Plan and execute integrated demand generation campaigns across:
• Search Marketing
• Paid Advertising
• Social Media
• Email Marketing
• Website
• Webinars
• Events
• Improve organic search visibility through:
• Technical SEO
• On-page & Off-page SEO
• Keyword Strategy
• Content Optimization
• Authority Building
• Manage landing pages, lead capture, nurturing campaigns, and conversion optimization.
• Optimize marketing spend based on qualified leads, conversion rates, pipeline contribution, and acquisition costs.

Account-Based Marketing (ABM)

• Identify and prioritize strategic target accounts in collaboration with Sales teams.
• Design personalized ABM campaigns using targeted content, executive engagement, events, and outreach.
• Align ABM initiatives with SDR outreach and partner engagement.
• Track account progression from engagement to qualified opportunities and customer acquisition.

Partner & Co-Marketing

• Execute joint marketing initiatives with ecosystem partners including:
• AWS
• Salesforce
• Databricks
• Snowflake
• Hyperscalers
• Manage:
• Co-branded campaigns
• Webinars
• Workshops
• Events
• Account development programs
• Utilize Market Development Funds (MDF) effectively.
• Ensure partner marketing activities contribute to pipeline growth and revenue generation.

Sales & SDR Alignment

• Collaborate with Sales leadership to align marketing campaigns with strategic account priorities.
• Equip Sales and SDR teams with:
• Campaign briefs
• Messaging
• Sales collateral
• Case studies
• Follow-up assets
• Define lead scoring, qualification, handover, follow-up, and feedback processes.
• Review lead quality, meeting outcomes, opportunity conversion, and pipeline progression with Sales and SDR teams.

Key Performance Indicators (KPIs)

• Marketing Strategy Execution
• Campaign Planning & Execution
• Budget Utilization
• Brand Awareness & Market Visibility
• Audience Growth
• Branded Search Performance
• Website Traffic
• Share of Voice
• Thought Leadership
• Content Performance
• Content-Influenced Pipeline
• Qualified Inbound Leads
• Sales Accepted Leads (SAL)
• Marketing Qualified Leads (MQL)
• Opportunity Creation
• Marketing-Sourced Pipeline
• Cost Per Qualified Lead (CPQL)
• Organic Search Performance
• SEO Performance
• Conversion Rate Optimization
• Account-Based Marketing Performance
• Target Account Engagement
• Pipeline from ABM Campaigns
• Partner Marketing Performance
• MDF Utilization
• Marketing Analytics & Reporting
• Data Accuracy
• Campaign Turnaround Time
• Team Performance
• Agency Management
• Marketing-Sourced Revenue
• Marketing-Influenced Revenue

Required Skills

Marketing

• B2B Marketing
• IT Services Marketing
• Technology Marketing
• Digital Marketing
• Demand Generation
• Inbound Marketing
• Performance Marketing
• Brand Strategy
• Marketing Strategy
• Marketing Planning
• Campaign Management
• Marketing Operations
• Marketing Automation
• Marketing Analytics
• Marketing Attribution
• CRM Management
• Budget Management

Content & Brand

• Content Marketing
• Thought Leadership
• Content Strategy
• Copywriting
• Case Studies
• White Papers
• Solution Briefs
• Webinars
• Executive Content
• Brand Positioning
• Messaging
• Value Proposition Development

Digital Marketing

• SEO
• Technical SEO
• On-page SEO
• Off-page SEO
• Keyword Research
• Paid Media
• PPC
• Search Marketing
• Social Media Marketing
• Email Marketing
• Lead Nurturing
• Landing Page Optimization
• Conversion Rate Optimization (CRO)

Demand Generation

• Lead Generation
• Inbound Lead Generation
• Lead Qualification
• Lead Scoring
• Pipeline Generation
• Funnel Management

Account-Based Marketing

• ABM Strategy
• Personalized Campaigns
• Target Account Engagement
• Enterprise Marketing

Partner Marketing

• Co-Marketing
• Alliance Marketing
• Partner Marketing
• MDF Management
• Ecosystem Marketing

Sales Alignment

• Sales Enablement
• SDR Collaboration
• Opportunity Management
• Pipeline Management
• Revenue Marketing

Leadership

• Team Management
• Stakeholder Management
• Cross-functional Collaboration
• Agency Management
• Vendor Management
• Performance Management

Analytics

• Marketing Dashboards
• Reporting
• KPI Tracking
• ROI Analysis
• Data Analysis

Preferred Experience

• 5–7 years of experience in:
• B2B Technology Marketing
• IT Services Marketing
• Digital Engineering
• Cloud
• Data & AI
• SaaS
• Enterprise Solutions
• Minimum 3 years leading an integrated marketing or demand generation function.
• Experience marketing to USA or international enterprise markets.
• Experience with long B2B sales cycles and enterprise buying processes.
• Experience working with Sales, SDR, Alliances, Delivery, and Pre-sales teams.
• Exposure to partner ecosystems including:
• AWS
• Salesforce
• Databricks
• Snowflake
• Other Hyperscalers

Educational Qualification

• Bachelor's degree in Marketing, Business Administration, Communications, Technology, or a related field.
• MBA is preferred.

P99soft is an equal-opportunity employer

P99soft is an equal-opportunity employer. At P99soft, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
• Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
• Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
• Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
• Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.

About the job

The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.

We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.

In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.

As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.

Responsibilities

• Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
• Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
• Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
• Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
• Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

Preferred qualifications:

• Master's degree in a technology or a business related field.
• Experience in designing AI interfaces that handle latency and failures gracefully, with preferred experience in HR product management.
• Ability to design quantitative frameworks that track real-time model performance, grounding accuracy, system degradation, and hallucination rates.
• Ability to lead complex, ambiguous technical initiatives and aligning high-profile, cross-functional teams toward shared goals.
• Deep technical fluency in generative AI mechanics.

About the job

We put our users first. The world is constantly evolving, and we're looking for Product Managers who are adaptable, innovative, and excited to build products that impact millions of people every day.

In this role, you'll work cross-functionally to guide products from conception to launch, bridging the technical and business worlds. You'll break down complex problems into actionable steps that drive product development.

Our Product Management team partners closely with engineers, designers, marketers, and other cross-functional teams to build innovative, world-class products. You'll lead products through the entire execution lifecycle, from strategy and planning to positioning, launch, and continuous improvement, ensuring our solutions deliver exceptional value to users.

The People Operations (POps) Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging data and Artificial Intelligence/Machine Learning (AI/ML), the team optimises HR processes, enhances employee experiences, and drives organisational efficiency.

In this role, you'll help shape, define, and deliver AI-powered agentic products that transform HR operations and improve the employee experience. As part of the Corporate Engineering organisation, you'll build scalable business solutions, delivering the tools, platforms, and experiences that enable employees worldwide to work more effectively and create impactful products and services.

Responsibilities

• Define the multi-year AI-native product goal and technical strategy, mapping rapidly evolving foundational models to consumer breakthroughs that achieve sustainable product-market fit.
• Write comprehensive Product Requirements Documents (PRDs) accounting for non-deterministic software behavior, establishing explicit guidelines for system instructions, fine-tuning, Retrieval-Augmented Generation (RAG) ingestion pipelines, and safety classifiers.
• Partner with researchers and infrastructure engineers to co-design model requirements, optimizing latency, context windows, compute budgets, and token utilization.
• Pioneer innovative frameworks for multi-agent execution, asynchronous system tracking, and human-in-the-loop validation to deliver contextual, ambient, and non-chatbot intelligence.
• Implement robust Large Language Models (LLM) evaluation systems tracking factual alignment while leading cross-functional alignment with Trust, Safety, Legal, and global Policy teams.

Enterprise Sales Coordinator

Company Name

Savex Technologies Pvt. Ltd.

Location

Hyderabad

Mode of Working

Work Form Office

Days of Working

6 days a week (1st nd 2nd Sat are off ; remaining saturdays are half days)

Responsibilities

Role Overview

We are seeking an experienced Enterprise Sales Leader to drive growth within India's rapidly expanding Global Capability Center (GCC) ecosystem. The role is responsible for acquiring new GCC customers, expanding existing accounts, and positioning the SAVEX technology portfolio across Cloud, Cybersecurity, AI, Data, Infrastructure, Networking, Digital Workplace, and Managed Services offerings.

The ideal candidate is a proven "hunter" with strong CXO relationships across GCCs and a successful track record of delivering high-value technology solution sales.

Key Responsibilities

Business Development & Revenue Growth

• Develop and execute a strategic GCC customer acquisition plan. 
• Build a qualified pipeline of GCC opportunities across Fortune 500 and multinational organizations. 
• Drive end-to-end sales cycles from prospecting to deal closure. 
• Achieve annual revenue and gross margin targets. 
• Identify cross-sell and upsell opportunities across the SAVEX portfolio. 

GCC Relationship Management

• Build relationships with:  
• GCC Heads 
• CIOs
• CTOs
• CDOs
• CISOs
• VP Engineering
• Procurement Leaders
• Digital Transformation Leaders 
• Become a trusted advisor to customer stakeholders. 
• Conduct executive business reviews and strategic account planning sessions.

Solution Selling

•  Position solutions around:
• Cloud & multi-cloud
• Cybersecurity
• AI & GenAI
• Networking
• Data Platforms &Analytics
• Infrastructure Modernization
• Digital Workplace
• Managed Services

Ecosystem Engagement

• Work closely with technology partners and OEMs. 
• Leverage partner-funded programs and joint go-to-market initiatives.
• Represent SAVEX at GCC forums, industry events, and executive networking sessions

Ideal Candidate Profile

• Strong negotiation, communication, and presentation skills
• Self-driven, target-oriented, and comfortable handling multiple stakeholders
• Proven experience selling IT infrastructure, cloud, cybersecurity, AI, or digital transformation solutions. 
• Strong network within GCC organizations across India. 
• Demonstrated history of achieving and exceeding sales quotas

Preferred Skills & Knowledge

• Proven experience selling IT infrastructure, cloud, cybersecurity, AI, or digital transformation solutions. 
• Strong network within GCC organizations across India. 
• Demonstrated history of achieving and exceeding sales quotas
• Experience working with system integrators, resellers, and distribution partners

What We Offer

Why Join Savex

• Opportunity to work with a fast-growing GCC Business
• Strong OEM partnerships and an established channel network
• High-visibility role with regional ownership and growth potential

Interview process

Face-to-Face and Virtual

Qualification: MBA preferred

Total Experience: 8–18 years of enterprise technology sales experience. 

Relevant Experience: Minimum 5 years focused on large enterprise or GCC sales. 

About the Role:

We are looking for a hands-on Senior Backend Engineer who can own complex product and platform problems end-to-end. You will work across AI agents, workflow orchestration, enterprise integrations, and distributed systems that operate reliably in real-world IT environments.

This role requires strong engineering judgment, product thinking, and the ability to transform ambiguous requirements into scalable, production-ready systems.

Key Responsibilities

• Build the core platform powering agentic IT operations.
• Design reliable multi-step workflows with retries, approvals, rollback mechanisms, and recovery.
• Develop AI pipelines for intent understanding, planning, validation, and execution.
• Build integrations with Microsoft 365, PSA, RMM, and other IT management platforms.
• Design secure, scalable multi-tenant enterprise systems.
• Improve production observability, monitoring, and reliability.
• Own major features from architecture and development through deployment and production support.
• Mentor engineers and contribute to raising the technical standards of the team.

Required Skills & Experience

• 8+ years of experience building backend platforms, distributed systems, or enterprise applications.
• Strong software engineering fundamentals and system design expertise.
• Experience building REST APIs, asynchronous/event-driven systems, databases, and cloud-native applications.
• Strong problem-solving skills with the ability to independently drive solutions in ambiguous environments.
• Excellent debugging, production engineering, and ownership mindset.
• Comfortable using AI coding assistants while independently validating code quality and correctness.

Preferred Technical Stack

Languages & Frameworks

• TypeScript
• Node.js
• Python

Databases & Messaging

• PostgreSQL
• Redis
• Message Queues
• Event-driven architectures

Cloud & Infrastructure

• AWS
• Docker
• Terraform

Enterprise Integrations

• Microsoft Graph API
• Microsoft 365
• OAuth
• Webhooks
• PSA/RMM platforms

AI & Workflow Technologies

• Workflow engines
• State machines
• LLM Agents
• Retrieval-Augmented Generation (RAG)
• AI evaluation frameworks

What We're Looking For

• Strong backend engineering expertise with experience building scalable production systems.
• Deep understanding of distributed systems and platform architecture.
• Ability to own features from design through production.
• Product mindset with strong engineering ownership.
• Excellent collaboration and mentoring skills.

Why Join Neels AI?

• Build the operating layer for the next generation of IT services.
• Work on AI systems that take real-world actions—not just generate text.
• Solve challenging problems across AI, infrastructure, security, and enterprise automation.
• Join at an early stage and influence product direction, architecture, and engineering culture.
• Work directly with experienced founders and global enterprise customers.

Parsewave builds evaluation and post-training data for frontier AI labs. We work on custom datasets, expert evaluations, reasoning traces, and other data used to train and test advanced AI models.

We are hiring someone to help with client outreach and relations.

The job is straightforward to describe but difficult to do well: research the right people, understand what they care about, and write emails and messages that actually get replies.

What you will do

- Research AI labs, researchers, teams, and potential clients

- Write thoughtful, personalised emails and messages

- Manage follow-ups without sounding automated or pushy

- Learn Parsewave’s work, pitch, clients, and communication style

- Track conversations and make sure promising leads do not go cold

- Improve our outreach based on what gets replies

- Help maintain client relationships once conversations begin

What we are looking for

Excellent written and spoken English is essential. Your writing should sound human, natural, and sharp. Generic, over-polished AI copy will be an immediate no.

You should have a basic understanding of AI. You should roughly know how models are trained and what researchers at companies such as OpenAI, Anthropic, and Google DeepMind work on. You do not need to be a researcher.

You should learn quickly and work independently. We will teach you our pitch, tools, and style, but we do not want someone who needs constant instructions or follow-ups.

You should also be reliable and easy to work with: low ego, responsive, and able to get things done without drama or unnecessary delays.

Experience with cold outreach, sales, marketing, partnerships, or client relations is useful, especially if you can show real replies, meetings, or other outcomes. It is not compulsory.

This may be a good fit if you have worked in a founder’s office, at an AI or developer-tools startup, in partnerships or community, or as a strong technical or B2B writer.

How to stand out

Along with your application, include:

1. A short writing sample that represents your natural voice.

2. An example of an email, message, campaign, or piece of writing that produced a real response or result. If you do not have one, tell us how you would research and approach a potential client at an AI lab.

We care more about judgment, writing quality, learning speed, and reliability than credentials or years of experience.

🚀 We're Hiring: Business Development Executive (BDE)

📍 Location: India (Remote)- Full Time Job

💼 Experience: 1 Year (in Business Development/Sales)

💰 Salary: Up to Rs. 10,000 /month

🕒 Working Hours: Monday–Friday | 12:00 PM – 9:00 PM (8 Hours)

⚡ Immediate Joiners Preferred

Key Responsibilities

• Generate and track leads (excluding Upwork)
• Send follow-up emails and manage email outreach
• Execute email campaigns
• Create professional PPTs and sales presentations
• Maintain lead tracking and daily activity reports
• Support day-to-day business development activities

Requirements

• Prior experience in Business Development/Sales
• Excellent English communication (Written & Verbal)
• Strong knowledge of the latest AI tools
• Good presentation and research skills
• Basic understanding of IT services and tech roles
• Self-motivated, proactive, and organized
• Own laptop with a stable internet connection

📩 Interested candidates, please share your updated resume.

Referrals are welcome! If you know someone who fits this role, please share their profile with me.

#Hiring #BusinessDevelopment #BusinessDevelopmentExecutive #BDE #RemoteJobs #WorkFromHome #ImmediateHiring #SalesJobs #LeadGeneration #EmailOutreach #EmailMarketing #PPT #AITools #TechSales #HiringNow #OpenToWork #IndiaJobs

Software Engineer – AI/ML to build next-generation AI solutions for the Higher Education domain. You will work on LLM-powered applications, AI Agents, RAG systems, and intelligent automation for our enterprise SaaS platform.

Required Skills

• Strong Python programming and software engineering skills
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, Mistral, DeepSeek)
• Experience with LangChain, LlamaIndex, AI Agents, and RAG
• Knowledge of PyTorch/TensorFlow and Hugging Face
• Experience with FastAPI, REST APIs, and Microservices
• Hands-on experience with Vector Databases (Pinecone, Qdrant, ChromaDB, pgvector)
• Experience with AWS (Bedrock, SageMaker, EC2, Lambda, S3)
• Docker & Kubernetes
• Strong understanding of System Design and scalable AI applications

Preferred Skills

• Agentic AI & MCP (Model Context Protocol)
• Prompt Engineering & Fine-tuning
• Enterprise AI application development
• Experience in EdTech or SaaS products

What You'll Build

• AI Agents and intelligent workflows
• RAG-based enterprise search solutions
• LLM-powered applications
• Scalable AI APIs and microservices
• AI features for enterprise SaaS products

If you're passionate about building production-grade AI systems and working with the latest Generative AI technologies, we'd love to hear from you.

Company Description

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.

This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.

Job Description

• Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
• Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
• Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
• Document defects, observations, and actionable feedback for engineering and product development teams.
• Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
• Re-test resolved issues and verify fixes as new builds become available.
• Maintain detailed testing documentation and ensure traceability of validation results.
• Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
• Strong attention to detail with excellent analytical and problem-solving skills.
• Ability to interpret test results and identify discrepancies.
• Experience documenting defects and working with engineering teams to resolve issues.
• Good written and verbal communication skills.
• Familiarity with software testing methodologies and defect lifecycle management.
• Exposure to Agile development environments is preferred.
• Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

Job Title: IAM & AI Engineer (Identity & Access Management + AI Automation)

Experience: 5–8 Years

Location: Bengaluru (Onsite/Hybrid)

Employment Type: Full-Time / Contract

About the Role

We are seeking a highly skilled IAM & AI Engineer with hands-on experience in Identity & Access Management (IAM), AI/ML technologies, LLMs, Copilot solutions, Agentic AI, and workflow automation. The ideal candidate should have experience designing secure AI-driven solutions while ensuring compliance, governance, and seamless integration with enterprise systems.

Mandatory Skills

• Identity & Access Management (IAM)
• AI/ML, Large Language Models (LLMs)
• Microsoft Copilot / GitHub Copilot / AI Copilot Solutions
• Agentic AI Frameworks (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or equivalent)
• Workflow Automation using APIs, Scripts, Connectors
• REST APIs & Webhooks
• Python or PowerShell Scripting
• Privileged Access Management (PAM)
• ServiceNow (ITSM)
• AI Security, Compliance & Data Governance
• Experience building AI-powered products or enterprise AI solutions

Key Responsibilities

• Design, implement, and manage enterprise Identity & Access Management (IAM) solutions.
• Develop AI-powered assistants, Copilots, and Agentic AI workflows for enterprise automation.
• Build secure integrations using REST APIs, webhooks, connectors, and scripting.
• Automate IT and business processes using AI, APIs, and workflow orchestration tools.
• Implement and manage Privileged Access Management (PAM) solutions.
• Integrate IAM workflows with ServiceNow for identity lifecycle management.
• Develop AI-enabled automation for user provisioning, access reviews, and approval workflows.
• Ensure AI applications comply with enterprise security, privacy, and governance standards.
• Implement AI security controls, prompt security, data protection, and model governance.
• Collaborate with security, infrastructure, cloud, and application teams to deliver scalable AI solutions.
• Monitor, troubleshoot, and optimize AI and IAM platforms.
• Create technical documentation, deployment guides, and best practices.

Required Experience

• 5–8 years of experience in Identity & Access Management (IAM).
• Hands-on experience with Azure AD (Microsoft Entra ID), Okta, SailPoint, Ping Identity, ForgeRock, CyberArk, or similar IAM/PAM platforms.
• Experience building AI applications using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
• Practical experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent Agentic AI frameworks.
• Strong knowledge of REST APIs, authentication protocols (OAuth 2.0, OpenID Connect, SAML, JWT), and workflow automation.
• Experience integrating AI solutions with enterprise systems such as ServiceNow, Microsoft 365, Azure, AWS, or GCP.
• Experience implementing AI governance, compliance, responsible AI practices, and secure AI deployment.
• Strong understanding of cloud security, Zero Trust, RBAC, ABAC, and least-privilege access models.

Preferred Skills

• Microsoft Azure AI / Azure OpenAI Services
• Microsoft Power Platform (Power Automate)
• AWS or Azure Cloud Security
• Kubernetes & Docker
• CI/CD Pipelines
• RAG (Retrieval-Augmented Generation)
• Vector Databases (Pinecone, Chroma, FAISS, Azure AI Search)
• Prompt Engineering and AI Evaluation
• DevSecOps practices

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.
• Relevant certifications are a plus:
• Microsoft Certified: Identity and Access Administrator Associate
• Microsoft Certified: Azure AI Engineer Associate
• Okta Certified Professional
• SailPoint IdentityIQ
• CyberArk Defender/Sentry
• SC-300, AZ-104, AI-102

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level  

This role is ideal for engineers with 2+ years of full-stack software development experience, with a strong developer mindset and hands-on experience building and maintaining production systems. You should be comfortable working in the Pacific Standard Time zone (Shift time IST - 06.00 PM to 02.00 AM).

An experienced individual contributor who thrives in ownership-driven environments, can operate effectively with minimal oversight, and is comfortable working in the absence of a traditional Product Manager while demonstrating a strong product mindset.  

What You’ll Do as a Software Craftsperson 

• Write Tests First: Start by writing tests to ensure code quality  
• Clean Code: Produce self-explanatory, clean code with predictable results  
• Frequent Releases: Make frequent, small releases  
• Pair Programming: Work in pairs for better results  
• Peer Reviews: Conduct peer code reviews for continuous improvement 
• Product Team: Collaborate in a product team to build and rapidly roll out new features and fixes  
• Full Stack Ownership: Handle everything from the front end to the back end, including infrastructure and DevOps pipelines  
• Never Stop Learning: Commit to continuous learning and improvement

Requirements

What You’ll Bring  

• 2+ years of expertise in Node, React.js, Typescript (Must have) 
• CI tools we use: Github Actions
• working with LLM/agent SDKs and AI-assisted development workflows.
• Good to have: Chrome extension development experience​​
• Expertise in object-oriented programming, data structures, algorithms, and software engineering methodologies  
• Experience working in Agile and eXtreme Programming methodologies in a continuous deployment environment  
• Interest in mastering technologies like web server ecosystems, relational DBMS, TDD, CI tools like Jenkins, Hudson, and Bamboo, web frameworks and front-end technologies, complexity analysis, and performance optimization  
• Working knowledge of server configuration/deployment infrastructure  
• Experience using source control and bug tracking systems, writing user stories, and technical documentation 

What We Value  

• Extreme ownership – you take responsibility for outcomes and drive work end-to-end  
• Ability to execute independently and define problems, not just solve assigned tasks  
• A strong product mindset – willingness to talk to customers, understand problems deeply, and define direction when needed  
• Deep care about developer experience and engineering quality  
• High standards, autonomy, and a bias toward action

Benefits

Life at Incubyte   

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.  

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.  

​

Perks  

• Dedicated learning & development budget.  
• Sponsorship for conference talks.  
• Comprehensive medical & term insurance.  
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

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.

FORWARD DEPLOYED ENGINEER (FDE)

Engineering · Customer Solutions

Department: Engineering / Customer Solutions

Location: Hyderabad, India (on-site with customer travel as needed)

Employment Type: Full-Time

Reports To: Head of Customer Engineering

ABOUT KNACKLABS.AI

knacklabs.ai builds AI-powered products and platforms that help organizations turn complex workflows into simple, reliable

systems. We work closely with customers to deploy real solutions to real problems — not just ship features. As we scale, we're

looking for engineers who are as comfortable in front of a customer as they are in a codebase.

ROLE OVERVIEW

As a Forward Deployed Engineer at knacklabs.ai, you will sit at the intersection of engineering and customer success. You'll

embed directly with customer teams to understand their workflows, rapidly prototype and ship solutions using our platform, and

turn those learnings into product improvements. This role is ideal for engineers who want high ownership, fast feedback loops,

and direct exposure to how their code changes a customer's business.

KEY RESPONSIBILITIES

● Customer Embedding: Work directly with customers to understand their business processes, pain points, and technical environments.

● Solution Building: Design, build, and deploy custom products, ERP Systems, workflows automation and product development.

● Product Feedback Loop: Turn one-off customer builds into reusable, generalizable features by working closely with

the core product and engineering teams.

● Rapid Prototyping: Write production-quality code under real deadlines, balancing speed with maintainability.

● Technical Troubleshooting: Debug issues across the stack — from data pipelines to APIs to front-end integrations —

in live customer environments.

● Ongoing Ownership: Own the technical relationship with select customers post-deployment, ensuring solutions remain

stable and scale with their needs.

● Travel: Travel to customer sites as needed (expected occasionally, varies by account).

REQUIRED QUALIFICATIONS

● 6-10 years of professional software engineering experience, ideally including customer-facing or implementation work.

● Strong proficiency in at least one backend language (Python, Node.js, Go, or similar) and comfort working across a full stack.

● Experience with REST/GraphQL APIs, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, or Azure).

● Demonstrated ability to work independently in ambiguous, fast-changing environments.

● Strong communication skills — able to explain technical tradeoffs clearly to both engineers and non-technical stakeholders.

● A bias toward action: comfortable shipping a working solution today rather than a perfect one next month.

PREFERRED QUALIFICATIONS

● Prior experience as a Forward Deployed Engineer, Solutions Engineer, or in a consulting/implementation role.

● Experience working with AI/ML products, LLM-based applications, or data-intensive systems.

● Familiarity with enterprise environments, integration patterns, and security/compliance considerations.

● Startup experience, or comfort with the pace and scope changes that come with an early-stage company.

WHAT WE OFFER

● The opportunity to see your work directly and immediately impact real customers.

● A high-ownership role with a direct path into product and engineering leadership.

● Competitive compensation

● A collaborative, fast-moving team building at the frontier of applied AI.

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

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.

Founder's Office – Growth and AI Analyst

About the Role

You don't just use AI : You instinctively identify repetitive work, automate it where it makes sense, and build

better systems that help people work smarter. You will work directly with IBC’s founder.

About us

IBC Consultants (www.consult-ibc.com) is a 12-year-old firm helping boutique strategy and transformation firms

globally scale their execution capacity. We run lean, move fast, and are AI-first. This role works directly with our

founder, and sits at the centre of how IBC operates.

You're the person friends ask to 'automate this' and you actually do."

What you will own

• Account-based marketing (ABM): manage and

improve IBC’s full BD pipeline from target

identification to outreach

• AI-powered workflows: build and iterate

automations for BD, marketing, and operations

• AI adoption: help the team integrate AI tools

into day-to-day work

• Working directly with delivery partners, clients,

and the founder on strategy

What we are looking for

• You build with AI you don't just use it. You've shipped

something real with Claude, ChatGPT, Make, Zapier, etc

• 1–3 years in a fast-moving environment startup, marketing,

or ops. Non-linear paths welcome.

• Engineering from a good institution

• Works independently, communicates clearly, comfortable

when systems don't exist yet.

• B2B marketing interest is a strong plus

• You've been the best, or close to it, at something you

genuinely cared about and it doesn't have to be academics.

A state-level athlete, a music or arts award, a debate etc

Not for you if

Not consulting

You want a traditional consulting or

analyst-track role.

Not AI-optional

AI is “a tool you use sometimes”

rather than how you work.

Not process-dependent

You need fully defined processes

before you can act.

What you get

• Direct mentorship from the founder

• Exposure to every function of a growing firm

• Real ownership of outcomes, not just tasks

WORKING AT IBC

Remote-first team with an onsite stint in Pune for the first

6 months. After that, work from wherever you work best.

HOW TO APPLY

Fill in the application form with your basic details, answers to the screening questions, and attach your resume.

Apply here: forms.gle/QWU7rMbCV6Xvowa96

Experience Required: 3-8 Years

No. of vacancies: 2

Job Type: Full Time

Vacancy Role: WFO

Job Category: Development

Job Description

We are looking for a Senior Python Developer to build and scale a production-grade AI-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development. You will work closely with AI/ML, frontend, and DevOps teams to deliver high-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.

Roles & Responsibilities

• Design and develop scalable backend services and APIs using FastAPI
• Build modular, maintainable systems with clear service contracts and abstractions
• Implement asynchronous processing pipelines for compute-heavy AI workloads
• Design and manage job queues (Celery, RQ, or similar) and integrate Redis
• Handle long-running and GPU-based tasks
• Work with PostgreSQL and integrate object storage (S3 or equivalent)
• Integrate and productionize ML models
• Optimize inference pipelines for latency, batching, and throughput
• Ensure system reliability with retries, fallbacks, and monitoring
• Collaborate with Data Science, Frontend, and DevOps team

Qualifications

• 3+ years of Python development experience
• Hands-on experience with FastAPI and REST APIs
• Strong understanding of async programming and scalable systems
• Experience with Redis and queue systems (Celery, RQ, Kafka)
• Strong PostgreSQL experience
• Experience with Docker (mandatory); Kubernetes is a plus
• Familiarity with AWS, GCP, or Azure
• Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)
• Experience deploying ML models in production
• Understanding of GPU workloads and optimization
• Background in image/video processing or real-time systems
• Strong problem-solving and system design mindset
• Ability to handle real-world scale and unstructured data
• Experience in AI-integrated backend system
• 
  

Full-Stack Developer – Angular / Node.js / MySQL

Full-Time   ·   Remote   ·   Experience: 2–5 Years

About AtDrive Group

AtDrive Group is a technology solutions company that endeavours to deliver robust, scalable and secure software solutions with exquisite design and architecture, enforcing the best practices — no matter what your business is. We provide end-to-end digital transformation services across cloud computing, SaaS, mobile, web, e-commerce, and enterprise integration — serving clients from SMEs to Fortune 2000 companies across India, the Caribbean, and globally.

Website: atdrive.com   ·  

About the Role

We are looking for a capable, self-driven Full-Stack Developer who can own both the front-end and back-end of web applications. You will work across the complete stack — building Angular-powered interfaces, developing scalable Node.js services, designing and managing MySQL databases, and creating robust APIs that tie it all together.

Strong technical ability is essential, but so is communication. You will collaborate with clients and cross-functional team members, which means you need to express technical concepts clearly, surface blockers proactively, and deliver without hand-holding. Our evaluation process is designed to test both.

Key Responsibilities

Front-End Development

• Design and develop dynamic, responsive, and performant Angular applications
• Build reusable components, services, and modules following Angular best practices
• Implement clean, accessible UI/UX across web and device types using HTML5, CSS3, and SCSS
• Integrate front-end applications with back-end APIs and real-time data sources

Back-End Development & API

• Develop scalable, secure, and maintainable server-side applications using Node.js
• Design, build, and maintain RESTful APIs — including versioning, authentication, error handling, and documentation
• Integrate third-party APIs and external services into the application layer
• Implement back-end business logic, middleware, and service layers

Database – MySQL

• Design and manage MySQL database schemas, tables, relationships, and indexing strategies
• Write optimised SQL queries, stored procedures, and handle migrations
• Perform back-end data validation and ensure data integrity across the application
• Diagnose and resolve database performance bottlenecks

Full-Stack Ownership

• Work across the full development lifecycle — from requirement analysis and architecture through to deployment and ongoing support
• Conduct real-time testing during development to validate quality at every stage before handoff
• Participate in code reviews and contribute to improving codebase standards
• Debug and resolve issues independently across the full stack with minimal escalation

Required Technical Skills

Front-End

• Strong expertise in Angular (v12+ preferred) — components, services, reactive forms, routing, state management, and Angular CLI
• Proficiency in TypeScript and modern JavaScript (ES6+)
• Solid command of HTML5, CSS3, SCSS, Bootstrap — responsive and cross-browser development
• Experience with RxJS for reactive and asynchronous programming patterns
• Familiarity with AJAX and JSON-based client-server communication

Back-End & API

• Hands-on experience with Node.js — Express.js or equivalent framework
• RESTful API design and implementation — authentication (JWT / OAuth), input validation, rate limiting, error handling
• Experience integrating third-party APIs and webhooks
• Understanding of asynchronous programming, event loops, and performance optimisation in Node.js

Database

• Strong proficiency in MySQL — schema design, query optimisation, indexing, and stored procedures
• Experience with an ORM such as Sequelize or equivalent
• Ability to handle data migrations and version-controlled database changes

Engineering Practices

• Version control via Git — branching, pull requests, and collaborative workflows
• Understanding of MVC / layered architecture patterns
• Experience with Agile / Scrum development methodologies
• Familiarity with deployment pipelines and basic DevOps concepts is a plus

AI-Tool Fluency (Required)

AtDrive operates at the cutting edge of modern software delivery. All team members are expected to actively leverage AI-powered tools as a core part of their daily workflow.

• Proficiency with AI coding assistants such as Claude (Anthropic), GitHub Copilot, OpenAI Codex, or equivalent platforms
• Ability to use AI tools to accelerate full-stack development, generate boilerplate, write tests, and debug across Angular, Node.js, and MySQL
• Comfortable prompting, evaluating, and critically iterating on AI-generated code
• Awareness of the limitations and responsible use of AI in a professional software environment
• Willingness to continuously upskill as AI tooling evolves

Communication Requirements

Strong communication is non-negotiable. You will interact directly with clients and cross-functional team members. We expect:

• Clear, professional written and spoken English
• Ability to explain technical concepts and trade-offs to non-technical stakeholders
• Proactive communication — surface blockers, clarify ambiguities, and provide status updates without being prompted
• Comfortable participating in client calls and written correspondence independently

Evaluation Process

Our evaluation process is rigorous and multi-stage, assessing real-world full-stack capability — not just the ability to recite answers.

• Stage 1 — Technical Assessment: Timed coding challenge covering Angular, Node.js, MySQL, and API design
• Stage 2 — Communication Round: Assessed on clarity, articulation, and ability to discuss technical decisions
• Stage 3 — Live Technical Interview: Architecture discussion, code walkthrough, and full-stack problem-solving under observation
• Stage 4 — AI Tool Proficiency: Practical demonstration of AI-assisted development across the stack

Candidates who perform well technically but demonstrate weak communication or low AI-tool familiarity will not be progressed.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related engineering field
• 2–5 years of professional full-stack development experience — Angular, Node.js, and MySQL are all required, not optional
• Portfolio of shipped full-stack projects strongly preferred — links to repositories or live applications welcome

Why AtDrive?

• Work with a globally recognised technology company serving clients from SMEs to Fortune 2000 companies
• Build across the complete stack on real, commercially delivered projects
• Collaborate with diverse, passionate teams driven by a culture of excellence and continuous improvement
• Competitive compensation and genuine career advancement opportunities
• Be part of a company whose tagline isn't just words — Inspired by Perfection

About the Role :

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

You will take ownership of the complete AI development lifecycle—from problem definition and data pipeline design to model training, deployment, monitoring, and optimization—while ensuring high standards of reliability, scalability, security, and performance. The role also involves evaluating emerging AI technologies and driving their adoption to enhance product capabilities and user experience.

Roles and Responsibilities:

• Lead the design, development, and deployment of AI-powered products for production environments.
• Drive technical architecture and decision-making across machine learning models, inference systems, cloud infrastructure, and distributed computing.
• Develop and maintain end-to-end machine learning pipelines, including data ingestion, model training, evaluation, deployment, monitoring, and continuous optimization.
• Design scalable, secure, and high-performance AI services capable of handling production-scale workloads.
• Provide technical leadership by mentoring engineers, conducting code and design reviews, and fostering engineering excellence.
• Establish and promote best practices for software quality, testing, performance optimization, observability, reliability, and maintainability.
• Collaborate closely with Product, Backend, Mobile, and Data teams to deliver robust, scalable, and business-focused AI solutions.
• Research, evaluate, and implement emerging AI technologies to enhance product capabilities and drive innovation.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum 4 years of hands-on experience developing, deploying, and maintaining production-grade AI/ML systems.
• Strong proficiency in Python with excellent software engineering, object-oriented programming, and system design skills.
• Extensive experience with modern machine learning frameworks such as PyTorch, Hugging Face, TensorFlow, or equivalent.
• Proven expertise in deploying, optimizing, and scaling large language models (LLMs) and other AI models for production inference.
• Strong understanding of containerization and cloud-native technologies, including Docker, Kubernetes, AWS, and distributed system architectures.
• Demonstrated ability to lead technical initiatives, mentor engineering teams, and make sound architectural decisions.
• Excellent analytical, debugging, communication, and problem-solving skills.

Preferred Qualifications

• Hands-on experience with Large Language Models (LLMs), Computer Vision, Speech Recognition, Generative AI, or Multimodal AI systems.
• Experience with model optimization and inference technologies such as Quantization, Distributed Training, vLLM, TensorRT, ONNX Runtime, or similar frameworks.
• Prior experience developing AI solutions for the education, public sector, or other large-scale social impact initiatives.

Details:

• Location: Kothrud, Pune.
• Interested candidates should fill in the application on career website   https://careers.vopa.in/                                 
• Salary :- 12 LPA to 14 LPA (Depending on last drawn salary, Interview and Skills)

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.

Key Responsibilities

Frontend & Extension Development

• Build and maintain highly responsive, modern user interfaces using React.js for web applications, browser extensions, and Electron-based desktop clients.

• Architect and develop modular, reusable UI components using Material-UI (MUI / Joy UI) and styled-components/Emotion.

• Manage complex multi-target build pipelines (Web, Extension, Electron) using Webpack and Craco.

AI Integration & Engineering

• Seamlessly integrate Generative AI capabilities into the frontend, including AI-driven chatbots, contextual AI suggestions, and RAG (Retrieval-Augmented Generation) interfaces.

• Collaborate closely with backend and AI specialists to consume AI-powered REST APIs and WebSocket streams, ensuring fluid and responsive user experiences.

• Implement robust markdown and code rendering (e.g., react-markdown) for rich AI conversational outputs.

Real-Time Data & State Management

• Implement low-latency, real-time communication features using Socket.IO for chat and collaborative functions.

• Efficiently manage complex application state, data fetching, and caching using modern tools like React Query and Axios.

Quality & Collaboration

• Work within a monorepo/workspace structure to maintain distinct client, component, and extension packages.

• Participate in code reviews to maintain high code quality, performance, and enterprise security standards.

• Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery.

Required Skills:

• Core Languages: Proficiency in JavaScript (ES6+) and TypeScript.

• Frontend Frameworks: Strong, hands-on experience with React.js (Hooks, Context), React Query, and React Router.

• Styling & UI: Deep understanding of HTML5, CSS3, and CSS-in-JS libraries (e.g., styled-components, react-jss). Hands-on experience with MUI (Material UI / Joy UI) is highly preferred.

• Architecture & Build: Experience configuring and optimizing builds with Webpack and Craco. Familiarity with npm workspaces/monorepos.

• Real-time & APIs: Ability to design and implement robust client-side integrations with RESTful APIs and WebSockets (Socket.IO).

• Agile & Workflow: Experience working with Agile and Scrum methodologies.

Preferred/Bonus Skills:

• Experience in building and packaging Browser Extensions and/or Electron applications.

• Genuine curiosity and awareness of Generative AI workflows (e.g., prompt engineering concepts, handling streaming AI responses).

• Experience with rich text editing or markdown rendering in React.

Software Engineer – .NET

Full-Time   ·   Remote   ·   Experience: 3–5 Years   ·  

About AtDrive Group

AtDrive Group is a technology solutions company that endeavours to deliver robust, scalable and secure software solutions with exquisite design and architecture, enforcing the best practices — no matter what your business is. We provide end-to-end digital transformation services across cloud computing, SaaS, mobile, web, e-commerce, and enterprise integration — serving clients from SMEs to Fortune 2000 companies across India, the Caribbean, and globally.

Website: atdrive.com   ·  

About the Role

We are looking for a sharp, self-driven .NET developer who can contribute from Day 1 — no extended ramp-up, no hand-holding. You will work directly alongside our senior development team on live, commercial projects across a range of client engagements. The expectation is simple: you are plug-and-play.

This is a high-priority hire. If you are someone who reads the brief, writes clean code, and ships — we want to hear from you.

Key Responsibilities

• Design, develop, and maintain robust ASP.NET Core and ASP.NET MVC applications
• Build and consume RESTful Web APIs and integrate third-party services
• Write efficient SQL queries, stored procedures, and manage SQL Server databases
• Work across the full development lifecycle — from requirement analysis through to deployment and support
• Collaborate closely with team members and adhere to established coding standards and architectural patterns
• Participate in code reviews and contribute to continuous improvement of codebase quality
• Debug, troubleshoot, and resolve technical issues independently with minimal escalation
• Deliver assigned tasks within deadlines without requiring supervision

Required Technical Skills

.NET Stack

• Solid proficiency in C# and the .NET Framework / .NET Core
• Hands-on experience with ASP.NET MVC and ASP.NET Core
• Web API development — design, implementation, versioning, and security
• Entity Framework and/or LINQ for data access
• SQL Server — query design, stored procedures, optimisation

Frontend & Integration

• Working knowledge of HTML5, CSS3, JavaScript, and jQuery
• Experience with AJAX and JSON-based client–server communication
• Familiarity with RESTful API design principles and third-party API integration

Engineering Practices

• Version control via Git — branching, merging, pull requests
• Understanding of OOP design patterns and n-tier architecture
• Experience with debugging tools and performance profiling
• Exposure to Agile/Scrum methodologies is a plus

AI-Tool Fluency (Required)

AtDrive operates at the cutting edge of modern software delivery. All team members are expected to actively leverage AI-powered tools as part of their daily workflow — not as an optional add-on, but as a core professional competency.

• Proficiency with AI coding and productivity assistants such as Claude (Anthropic), GitHub Copilot, OpenAI Codex, or equivalent platforms
• Ability to use AI tools to accelerate development, automate repetitive tasks, improve code quality, and generate test coverage
• Comfortable prompting, evaluating, and iterating on AI-generated outputs critically
• Awareness of the limitations and responsible use of generative AI in a professional software environment
• Willingness to continuously upskill as AI tooling evolves

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related engineering field
• 2–3 years of hands-on .NET development experience in a professional environment
• Portfolio or examples of shipped work strongly preferred

What We Expect on Day 1

You should be able to pick up an active codebase, understand the architecture, and begin contributing meaningful work within the first week. If you need three months to find your footing, this is not the right role — or the right time.

Why AtDrive?

• Work with a globally recognised technology company serving clients from SMEs to Fortune 2000 companies
• Collaborate with diverse, passionate teams driven by a culture of excellence and continuous improvement
• Competitive compensation and genuine career advancement opportunities
• Work with modern, cutting-edge technology stacks and AI-integrated workflows
• Be part of a company whose tagline isn't just words — Inspired by Perfection

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.

Looking for somone with strong in AI, who have built the application and scaled them . Start up work exposure

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

At MonsoonFish, you'll be pivotal in evolving how we work and what we create. This is a hybrid role sitting at the intersection of AI, product, design, and engineering. You won't just advise on AI — you'll build, ship, and own products end to end, while helping the studio stay at the leading edge of AI-enabled design and development.

Your focus spans five core pillars:

Executing & Developing Products

• Design, build, and ship products and internal tools from concept to production.
• Write and integrate code across frontend and/or backend, using AI-assisted development workflows to move fast without sacrificing quality.
• Rapidly prototype ideas, validate them, and turn the best ones into shippable products.
• Own delivery timelines and quality — take features from idea → prototype → launch → iteration.

AI-Enabled Design & Development Practices

• Be the studio's AI mascot and evangelist — stay at the edge of AI tools and methodologies and understand how they reshape design and development.
• Inculcate an "AI-enabled" mindset across internal processes.
• Share insights so our workflows and delivery stay industry-leading in AI adoption.

Product Ownership & Management

• Own the product lifecycle across design, tech, implementation, and QA.
• Ensure the product vision is met through effective execution.
• Facilitate collaboration and keep the team aligned on outcomes.

Bridging Design & Implementation

• Be the connector between the design and tech teams.
• Build a deeper understanding of both design foundations and technical principles.
• Align how design and tech work together to be efficient and accurate.
• Translate design know-how for engineers and technical constraints for designers.

Team & Collaboration

• Work effectively with design, frontend, and backend teams to deliver high-quality output.
• Conduct sessions and workshops to upskill the team and drive alignment.

What We're Looking For

• Hands-on experience building and shipping products — you can code, prototype, and take something to production.
• Fluency (or strong curiosity + fast learning) with modern AI tools for development, design, and workflow automation.
• Solid grasp of product thinking — you understand users, scope, and trade-offs, not just features.
• Comfortable working across the stack and across disciplines (design ↔ engineering).
• Strong communication skills — able to teach, evangelize, and align teams.
• Self-driven, comfortable with ambiguity, and able to own outcomes within planned timelines.

Nice to Have

• Experience with design tools (Figma) and design systems.
• Background in a studio/agency or fast-moving product environment.
• Portfolio of shipped products, tools, or AI experiments.

What You'll Get

• A pivotal role shaping how a design studio adopts AI.
• Freedom to build, experiment, and own products end to end.
• A collaborative team across design and engineering.

Phenom, an Applied AI company, is hiring an Associate Technical Program Manager into our Big Bets team - the group driving company-level strategic initiatives across engineering and product.

This is a foundational role built for a specific profile: an engineer who went to business school. If you have a B.Tech in Computer Science and an MBA from a premium institute, and you want to run large-scale engineering programs rather than pure strategy or consulting work, this is a rare fit. You will work directly with engineering leadership, with visibility to SVP and co-founder level from day one.

WHAT YOU WILL DO

- Structure and drive execution of cross-functional technical initiatives across multiple engineering teams

- Translate ambiguous business problems into structured technical roadmaps and execution plans

- Own program-level metrics, timelines, dependencies, and risk tracking

- Influence Product, Engineering, and Business stakeholders without formal authority

- Build the frameworks, dashboards, and processes that bring scale and predictability to fast-moving programs

WHO WE ARE LOOKING FOR

- B.Tech in Computer Science or a closely related engineering discipline

- MBA from a premium institute (IIM / ISB / equivalent tier-1 programme)

- 0-2 years of experience; recent graduates and early-career professionals are welcome

- Strong structured problem-solving ability and comfort operating in ambiguity

- Technical fluency across APIs, cloud platforms, and SDLC - you do not need to code daily, but you must be able to hold your own in engineering discussions

- Demonstrated experience driving something end-to-end with multiple stakeholders, whether a project, internship, venture, or initiative

- Excellent written and verbal communication

WHY PHENOM

- Applied AI company with genuine technical depth

- Direct exposure to company-level strategic bets from your first role

- Fast-track into Technical Program Management, one of the highest-leverage career tracks in technology

- Mentorship from senior engineering and TPM leadership

- Based in Hyderabad, onsite

Lead SDET/QA Test Automation Engineer – AI Platforms (Agentic AI)

📍 Hyderabad, India | Full-Time | On-site / Hybrid

📈 Experience: 6–10 Years

The Role

We're looking for a hands-on Lead SDET to define and scale quality engineering across our healthcare AI platform.

This is an 80% IC and 20% leadership role, focused on building next-generation testing infrastructure, establishing quality standards, and mentoring engineers.

What You'll Do

Quality Architecture

• Define company-wide quality strategy.
• Architect automation frameworks from the ground up.
• Establish testing standards and engineering practices.

AI Systems Testing

Own validation strategies for:

• LLM Applications
• Voice AI Platforms
• Conversational AI
• Agentic Systems
• Multimodal AI

Build frameworks for:

• Hallucination testing
• Safety testing
• Regression detection
• AI performance measurement

Automation Engineering

Drive testing across:

• APIs
• Databases
• Web Applications
• Mobile Applications
• Distributed Systems
• Performance Engineering

Leadership

• Mentor and guide engineers.
• Drive engineering excellence.
• Influence release and architecture decisions.

What We're Looking For

• 6–10 years in SDET or QA Automation.
• Strong product engineering background.
• Expert-level coding in Python and Java.
• Deep expertise in:
• Selenium
• Playwright
• Appium
• PyTest
• TestNG
• REST Assured
• Strong understanding of:
• Distributed Systems
• System Design
• CI/CD
• SDLC
• STLC
• Experience building automation frameworks from scratch.
• Strong mentoring and technical leadership skills.

Why Join Us?

• Own quality engineering for category-defining AI products.
• Influence engineering strategy and architecture.
• Work on cutting-edge healthcare AI systems.

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

PHP Developer (AI/ML Expertise) – Education ERP

Experience: Minimum 3 years professional development experience (min. 3 years in ERP systems) Qualification: B.Tech / B.E. (Computers) OR Diploma Work Mode: Permanent WFH

About the Role

We are seeking a highly skilled Senior PHP Developer with AI/ML expertise and proven experience in developing and scaling Education ERP solutions. The ideal candidate will have strong command over PHP, MySQL, and MongoDB, along with hands-on experience implementing ERP modules such as HR, Exams, Inventory, Learning Management System (LMS), Admissions, Fee Management, and Finance — while leveraging AI-assisted tools and techniques to build smarter, more efficient systems.

Key Responsibilities

• Design, develop, and maintain scalable Education ERP modules.
• Work on end-to-end ERP features, including HR, Exam, Inventory, LMS, Admissions, Fees, and Finance.
• Build and optimize REST APIs services and ensure seamless third-party integrations.
• Apply AI/ML-driven approaches (e.g., predictive analytics, intelligent automation, AI-assisted coding tools) to enhance ERP functionality and development efficiency.
• Optimize system performance, scalability, and security for high-volume ERP usage.
• Conduct code reviews, enforce coding standards, and mentor junior developers.
• Stay updated with emerging technologies (including AI/ML advancements) and recommend improvements for ERP solutions.

Required Skills & Qualifications

• Strong expertise in PHP (Core PHP).
• Proficiency with MySQL, MongoDB (database design & optimization).
• Frontend knowledge: JavaScript, jQuery, HTML, CSS (React Native/Vue preferred).
• Experience with REST APIs and third-party integrations (payment gateways, SMS, email).
• Hands-on experience with Git/GitHub, Docker, CI/CD pipelines.
• AI-assisted development experience (e.g., using AI coding assistants, ML-based feature integration, or automation tools).
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Minimum 3 years of professional development experience, including at least 3 years working on ERP systems.

Preferred Experience

• Prior work in the Education ERP domain.
• Deep knowledge of HR, Exam, Inventory, LMS, Admissions, Fees & Finance modules.
• Exposure to high-traffic enterprise applications.
• Strong leadership, mentoring, and problem-solving abilities.
• Exposure to applying AI/ML concepts within ERP or enterprise applications (e.g., recommendation engines, anomaly detection, chatbots, automation of workflows).

What's in It for You

We offer competitive salaries based on prevailing market rates. In addition to your base package, you can expect:

• Permanent Work From Home (WFH)
• Flexible working hours and leave policy
• Learning and development opportunities
• Health Insurance and PF benefits, over and above salary