50+ Artificial Intelligence (AI) Jobs in India

🚀 Hiring: AI/M and Gen AI Engineer

⭐ Experience: 5+ Years

⭐ Work Mode:- Remote

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

🌟 About the Role

We are looking for a highly skilled AI/ML Software Engineer to design, build, and productionize enterprise-grade AI solutions. This role focuses on Generative AI, RAG systems, and AI agent–driven automation, with deployment on Microsoft Azure.

You will collaborate with cross-functional teams including architects, engineers, and business stakeholders to deliver scalable and secure AI solutions that create real business impact.

🔑 Mandatory Skills (Must Have)

• ✅ Azure AI Ecosystem (Azure Machine Learning, Azure OpenAI, Cognitive Services)
• ✅ Generative AI & RAG Systems (vector embeddings, retrieval pipelines)
• ✅ Strong Software Engineering + MLOps (CI/CD, containerization, scalable deployments)

💼 Key Responsibilities

• Design, develop, and deploy AI/ML models in production environments
• Build and optimize RAG-based applications and AI agent workflows
• Develop scalable data pipelines and integrate with enterprise systems
• Implement MLOps practices for continuous deployment and monitoring
• Work with big data tools to process large-scale datasets
• Ensure security, scalability, and performance of AI systems
• Collaborate with stakeholders to translate business problems into AI solutions

🧠 Required Experience & Skills

• 5–8 years of hands-on experience in AI/ML development
• Strong programming and software engineering expertise
• Experience with Azure services (ML, Data Lake, OpenAI, Cognitive Services)
• Knowledge of vector databases and embedding models
• Experience with Databricks, Azure Data Factory, or Kafka
• Familiarity with multi-agent systems / agentic AI frameworks
• Proficiency in TensorFlow, PyTorch, Keras, or Scikit-learn
• Background in NLP, Computer Vision, or Deep Learning
• Experience with SQL/NoSQL databases and ETL pipelines
• Strong analytical and problem-solving skills 

Job description:

About Us

AtDrive Infotech is a forward-thinking IT company delivering innovative, scalable, and intelligent web solutions using modern technologies. We focus on building high-performance applications and integrating AI-driven capabilities to enhance user experience and business efficiency.

We are looking for an experienced Angular/Node.js Team Lead who can drive technical excellence, lead development teams, and ensure successful delivery of scalable applications.

Key Responsibilities

• Lead the design, development, and deployment of scalable web applications using Angular and Node.js.
• Provide technical leadership and mentor developers to maintain coding standards and best practices.
• Manage the end-to-end development lifecycle, including requirement analysis, development, testing, deployment, and maintenance.
• Assign tasks, track progress, and ensure timely delivery of project milestones.
• Design and maintain RESTful APIs and backend services.
• Review code, identify technical risks, and optimize system performance.
• Collaborate with clients and stakeholders to translate business requirements into technical solutions.
• Participate in Agile/Scrum ceremonies such as sprint planning, reviews, and stand-ups.
• Drive the implementation of AI-powered features and integrations where applicable.
• Ensure quality through testing, debugging, and performance optimization.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of total experience in web development.
• Minimum 1 year of experience leading or coordinating development teams.

Required Technical Skills

• Strong expertise in Angular for enterprise-level frontend development.
• Proficiency in Node.js for scalable backend development.
• Advanced knowledge of MySQL database design and optimization.
• Strong experience in REST API development and third-party integrations.
• Hands-on experience with:
• JavaScript
• HTML5
• CSS3
• Bootstrap
• jQuery
• Experience working with MVC architecture.
• Familiarity with AJAX and JSON/XML.
• Strong knowledge of Git/version control systems.

AI Skills (Required)

• Understanding of AI concepts and their application in web development.
• Experience integrating AI-powered APIs (e.g., chatbots, automation tools).
• Basic understanding of AI workflows and automation tools is preferred.

Leadership & Collaboration Skills

• Experience leading small teams (2–5 developers).
• Ability to mentor team members and support technical growth.
• Strong task management and delivery tracking skills.
• Experience working in Agile/Scrum environments.
• Ability to manage multiple priorities and deadlines effectively.

Client Communication Skills

• Strong written and verbal communication skills in English.
• Ability to gather requirements and communicate project updates to clients.
• Ability to explain technical concepts clearly to non-technical stakeholders.

Personal Attributes

• Strong leadership and problem-solving skills.
• Self-motivated and proactive mindset.
• Ability to work in a fast-paced environment.
• Strong sense of ownership and accountability.
• Ability to multitask while maintaining quality standards.

Evaluation Criteria

Candidates will be evaluated based on:

• Angular Development & Architecture Skills
• Node.js Backend Development Expertise
• MySQL Database Skills
• API Development Capability
• AI Integration Knowledge
• Team Leadership Experience
• Communication & Problem-Solving Ability

Why Join Us?

Join AtDrive Infotech and work on innovative projects that leverage modern web technologies and AI integration. We provide opportunities to lead teams, solve complex challenges, and contribute to impactful digital solutions.

Schedule

• Day shift
• Monday to Friday (Mon-Sat during Probation)

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Work from home

Work Location: Remote

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 total 6+ years of experience in which around 5+ years of hands-on software development experience in React.js and 1+ years of experience in Accessibility testing, with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.

What You’ll Do as a Software Craftsperson 

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
• Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality 
• Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
• Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
• Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
• Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
• Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
• Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering

Requirements

What You’ll Bring 

• 6+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
• Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
• Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
• Proficiency in one or more modern technologies React, Accessibility testing, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
• Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
• Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
• Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
• A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.

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. 

Benefits 

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

Advanced Software Architect

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Python, Java, and Node.js, following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 8+ years in software engineering with full-stack or backend development in Python, Java, and/or Node.js.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

We are seeking a Generative AI Developer to design, build, and scale next-generation AI systems. You will go beyond simple API integration to architect RAG (Retrieval-Augmented Generation) pipelines, fine-tune LLMs (Large Language Models), and develop Agentic workflows where AI can autonomously handle multi-step tasks. You will be responsible for the "System" around the model—ensuring reliability, cost-efficiency, and ethical safety.

Responsibilities :

• Agentic Orchestration: Design and implement AI agents that use tools (APIs, databases) to solve complex, multi-step business problems.
• RAG Architecture: Build and optimize high-performance RAG pipelines using vector databases (e.g., Pinecone, Weaviate, or Milvus) to provide AI with long-term memory and factual grounding.
• Model Fine-Tuning: Customize pre-trained models (like Llama 3, GPT-4, or Claude) using techniques like LoRA and QLoRA for domain-specific accuracy.
• Prompt Engineering: Develop advanced prompt strategies (Chain-of-Thought, Few-Shot) and version-control them as first-class software artifacts.
• Evaluation & Observability: Build "Eval" frameworks to measure model performance, hallucination rates, and latency to ensure production-grade reliability.
• LLMOps & Deployment: Collaborate with DevOps to containerize (Docker/Kubernetes) and deploy models on cloud platforms (AWS Bedrock, Azure AI, or Google Vertex AI).

Required Technical Skills

• Programming: Mastery of Python (FastAPI, PyTorch, TensorFlow).
• Frameworks: Proficiency in LangChain, LlamaIndex, or Haystack.
• Vector Databases: Experience with Pinecone, FAISS, or ChromaDB.
• Model Expertise: Hands-on experience with LLMs (OpenAI, Anthropic) and Open-Source models (Mistral, Llama).
• Data Engineering: Ability to build pipelines for data cleaning, chunking, and embedding.
• Cloud Platforms: Familiarity with AI services on AWS, GCP, or Azure

Industry

• IT Services and IT Consulting

Employment Type

Full-time

Location: Remote; Geography restricted to India

Type: Full-time or Part-time Contract Work

Fluent Language Skills Required: English & Hindi. Native-level fluency in English and Hindi is required for this position.

Why This Role Exists

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

What You’ll Do

• Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
• Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
• Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
• Document reproducibly: produce reports, datasets, and attack cases customers can act on

Who You Are

• You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
• You’re curious and adversarial: you instinctively push systems to breaking points
• You’re structured: you use frameworks or benchmarks, not just random hacks
• You’re communicative: you explain risks clearly to technical and non-technical stakeholders
• You’re adaptable: thrive on moving across projects and customers

Nice-to-Have Specialties

• Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
• Cybersecurity: penetration testing, exploit development, reverse engineering
• Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
• Creative probing: psychology, acting, writing for unconventional adversarial thinking

What Success Looks Like

• You uncover vulnerabilities automated tests miss
• You deliver reproducible artifacts that strengthen customer AI systems
• Evaluation coverage expands: more scenarios tested, fewer surprises in production
• Mercor customers trust the safety of their AI because you’ve already probed it like an adversary

Why Join Mercor

• Build experience in human data-driven AI red teaming at the frontier of safety
• Play a direct role in making AI systems more robust, safe, and trustworthy

The contract rate for this project will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work. Competitive rates commensurate with experience.

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)

Location: Bangalore (On-Site, Hybrid)

Company Type: Public-Listed Product Company

We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.

🧩 What You’ll Do

• Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
• Design systems across backend + frontend (if fullstack)
• Translate ambiguous problems into structured technical solutions
• Drive engineering best practices, code quality, and velocity
• Mentor engineers and elevate team performance
• Collaborate with stakeholders on roadmap and execution strategy

🧠 What We’re Looking For

• Strong experience in backend systems + optional frontend frameworks
• Proven ability to lead projects and deliver at scale
• Solid understanding of system design and architecture patterns
• Ability to balance speed vs quality vs scalability trade-offs
• Strong communication and leadership without authority
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Experience leading platform builds or major system rewrites
• Exposure to AI systems, LLM integrations, or intelligent workflows
• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Background: We Commonly See (But Not Limited To)

• Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Job Details

- Job Title: Director of Engineering

- Industry: SAAS

- Function – Information Technology

- Experience Required: 9-14 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, AWS, NodeJS, mongodb, React.js, WebGL, Three.js, AI/ML, Docker,nKubernetes

Criteria

Candidate must be having 9+ years of engineering experience, with 3u20134 years in technical leadership

Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

Ability to design scalable architectures for high-performance systems.

Should have AI/ML deployment experience

Strong 3D graphics/WebGL/Three.js knowledge.

Candidates should be from SAAS/Software/IT Services based startups or scaleup companies only

Job Description

The Role:

Company is hiring a hands-on Director of Engineering who codes, architects systems, and builds teams. You’ll set the technical foundation, drive engineering excellence, and own the architecture of our AI, 3D, and XR platform.

This is not a pure management role - expect to spend 50–60% of your time writing code, solving deep technical problems, and owning mission-critical systems. As we scale, this role transitions into CTO, taking full ownership of technical vision and long-term strategy. 

What You’ll Own:

1. Technical Leadership & Architecture

● Architect company’s full-stack platform across frontend, backend, infrastructure, and AI.

● Scale core systems: VersaAI engine, rendering pipeline, AR deployment, analytics.

● Make decisions on stack, scalability patterns, architecture, and technical debt.

● Own design for high-performance 3D asset processing, real-time rendering, and ML deployment.

● Lead architectural discussions, design reviews, and set engineering standards.

2. Hands-On Development

● Write production-grade code across frontend, backend, APIs, and cloud infra.

● Build critical features and core system components independently.

● Debug complex systems and optimize performance end-to-end.

● Implement and optimize AI/ML pipelines for 3D generation, CV, and recognition.

● Build scalable backend services for large-scale asset processing and real-time pipelines.

● Develop WebGL/Three.js rendering and AR workflows.

3. Team Building & Engineering Management

● Hire and grow a team of 5–8 engineers initially (scaling to 15–20).

● Establish engineering culture, values, and best practices.

● Build career frameworks, performance systems, and growth plans.

● Conduct 1:1s, mentor engineers, and drive continuous improvement.

● Set up processes for agile execution, deployments, and incident response.

4. Product & Cross-Functional Collaboration

● Work with the founder and product team on roadmap, feasibility, and prioritization.

● Translate product requirements into technical execution plans.

● Collaborate with design for UX quality and technical alignment.

● Support sales and customer success with integrations and technical discussions.

● Contribute technical inputs to product strategy and customer-facing initiatives.

5. Engineering Operations & Infrastructure

● Own CI/CD, testing frameworks, deployments, and automation.

● Create monitoring, logging, and alerting setups for reliability.

● Manage AWS infrastructure with a focus on cost and performance.

● Build internal tools, documentation, and developer workflows.

● Ensure enterprise-grade security, compliance, and reliability.

Tech Stack:

1. Frontend

React.js, Next.js, TypeScript, WebGL, Three.js

2. Backend

Node.js, Python, Express/FastAPI, REST, GraphQL

3. AI/ML

PyTorch, TensorFlow, CV models, Stable Diffusion, LLMs, ML pipelines

4. 3D & Graphics

Three.js, WebGL, Babylon.js, glTF, USDZ, rendering optimization

5. Databases

PostgreSQL, MongoDB, Redis, vector databases

6. Cloud & Infra

AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes CI/CD: GitHub Actions

Monitoring: Datadog, Sentry

What We’re Looking For:

1. Must-Haves

● 9+ years of engineering experience, with 3–4 years in technical leadership.

● Deep full-stack experience with strong system design fundamentals.

● Proven success building products from 0→1 in fast-paced environments.

● Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

● Ability to design scalable architectures for high-performance systems.

● Strong people leadership with experience hiring and mentoring teams.

● Ready to code, review, design, and lead from the front.

● Startup mindset: fast execution, problem-solving, ownership.

2. Highly Desirable

● AI/ML deployment experience (CV, generative AI, 3D reconstruction).

● Strong 3D graphics/WebGL/Three.js knowledge.

● Experience with real-time systems, rendering optimizations, or large-scale pipelines.

● Background in B2B SaaS, XR, gaming, or immersive tech.

● Experience scaling engineering teams from 5 → 20+.

● Open-source contributions or technical content creation.

● Experience working closely with founders or executive leadership.

Why Company:

● Hard, meaningful engineering problems at the intersection of AI, 3D, XR, and web tech.

● Build from day zero – architecture, team, and culture.

● Path to CTO as the company scales.

● High autonomy to drive technical decisions.

● Direct founder collaboration on product vision.

● High ownership, high-growth environment.

● Backed by global leaders: Microsoft, Google, NVIDIA, AWS.

Location & Work Culture:

● Location: HSR Layout, Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: High-intensity, high-integrity, engineering-first

● Team: Young, ambitious, technically strong

Experience: Experience: 10+ years of experience in software development & project management, with specialization in AI/ML

Qualification: B.E/B.Tech

Location: Pune

Role Overview

We are seeking a Head of AI Center of Excellence to execute our enterprise AI strategy. This role will be responsible for designing and delivering agentic AI systems and production-grade AI solutions, while driving rapid experimentation and pilot-ready proof-of-concepts in a fast-paced environment.

·    Required Qualifications:

• 10+ years of overall software development & management experience with 5+ years of hands-on experience in AI/ML system design and development
• Experience with technical project management; managing a team of AI/ML engineers across multiple projects
• Proven expertise in:
• Agentic AI architectures, LLM-based systems, and orchestration frameworks
• ML/DL model development, training, fine-tuning, and evaluation
• MLOps, model deployment, monitoring, and lifecycle management
• Strong proficiency in Python and modern AI/ML frameworks (e.g., LangGraph, PyTorch, TensorFlow, Hugging Face)
• Experience with cloud platforms and AI services (AWS, Azure, or GCP)
• Demonstrated ability to deliver pilot-ready AI PoCs quickly and effectively

Job Title: AI/ML Engineer

Work Location: U.S Complex, Adjacent to Jasola Apollo Metro Station, Mathura Road New Delhi-110076

We, Infinity Assurance Solutions specialize in Warranty Service Administration, Extended Warranty, Accidental Damage Protection and a wide range of service products under our own brand “InfyShield.”

Our offerings cover Mobile Phones, Home Appliances, Consumer Electronics, Kitchen Appliances, IT Equipment, Office Automation, AV Solutions, Classroom and Conference Room Technologies, and more.

·        We have a very extensive Enterprise grade End to End Business Management Software Application that is unmatched in the industry.

·        The application has multiple Sub-applications and functionalities including Sales, Insurance Claims, Warranty Claims, Payments, Collections, Approvals, Billing / Invoicing, Payment / Tax / Bank Reconciliations, Partners Management, HRMS, Client Management etc. to suite end to end business needs of any enterprise.

·        The application also has multiple integrations for Payment gateways, Voice calls, Video Calls, SMS, emails, WhatsApp, client applications, courier, Maps and databases, etc.

·        To fuel our growth, we are inviting Computer Vision Engineer as we are building our software development team to execute new business growth plans and a fresh product roadmap.

·        This position requires talents who are multi-skilled with hands-on experience; to work independently as well as in teams.

·        Ideal candidates will be responsible to design, modify, develop, write, and implement software applications and components.

·        Our technology processes documents and images across warranty, insurance, claims, and identity workflows—where trust, precision, and fraud prevention are paramount.

Detailed Role Description

·        Assist in developing a secure, AI-powered platform for verification and assurance.

·        Contribute to developing and improving computer vision models for image forgery detection, replay detection, and advance fraud analysis.

·        Implement and experiment with image processing techniques such as noise analysis, Error Level Analysis (ELA), blur detection, and frequency-domain features.

·        Support OCR pipelines using tools like PaddleOCR or Azure AI Vision to extract text from photos of identity documents.

·        To Help prepare and clean real-world image datasets, including handling low-quality, noisy, and partially occluded images.

·        Integrate trained models into Python-based APIs (FastAPI) for internal testing and production use.

·        Collaborate with senior engineers to test, debug, and optimize model performance.

·        Document experiments, findings, and implementation details clearly.

Required Skills

·        2-4 years experience in Machine Learning, computer vision, image processing, and AI

·        Bachelor’s or Master’s degree in AI & Machine Learning /Computer Science/Data Science or related fields.

·        Proficiency in Machine Learning, Python

·        Core experience with OpenCV, NumPy and core image processing concepts

·        Handson experience with PyTorch, TensorFlow

·        Understanding of Convolutional Neural Networks (CNNs) fundamentals

·        Hands-on experience REST APIs or FastAPI

·        Exposure to OCR, document processing, or facial analysis

Desired Candidate Profile

·        Perior experience related image forensics, fraud detection, and biometrics

·        Comfortable working with imperfect real-world data

·        Good communication skills and team-oriented mindset

Important Notes & Perks:

·        Attractive pay structure as per the Market Standards

·        Huge career growth opportunity

·        Preference will be given to candidates who can join early

·        Should have worked in small teams with multi-skilled resources

·        This is a full-time, work-from-office opportunity (Preference will be given to candidates who are interested in Monday to Saturday; 6 days a week)

·        Applications may be submitted via google form as per the link: https://forms.gle/TC8kypz3SwN256sP6

About us:

We, Infinity Assurance Solutions, Private Limited, a New Delhi-based portfolio company of Indian Angel Network, Aegis Centre for Entrepreneurship, Artha Venture Fund, eVista Venture and other marquee industry veterans; specialize in Warranty Service Administration, Extended Warranty, Accidental Damage Protection and various other service products for wide range of Mobile Phones, Home Appliances, Consumer Electronics, AV Solutions, Classroom / Conference-room Solutions, Kitchen Appliances, IT, Office automation, Personal Gadgets etc.

Incorporated in January 2014; as a debt-free, operationally profitable with positive net retained earnings, we have grown rapidly. Going forward, we are looking to grow multi-fold with newer areas of business expansion.

Our success is attributed to a very agile and technologically driven unique service delivery model, loyal long-term clients, in-house application, and lean organization structure.

More about us:

https://www.infinityassurance.com

https://www.infyshield.com;

https://www.infyvault.com

Job Title: Senior Data Scientist

Location: Pune

Job Type: Full-Time

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc.

With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.

About the Role

We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions. This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment. The ideal candidate will be comfortable working as an individual contributor and as an active team member.

Key Responsibilities

· Translate business challenges into ML solutions by understanding customer needs and the broader context.

· Perform exploratory data analysis (EDA) and feature engineering on large-scale datasets.

· Write clean, efficient, and maintainable Python code for data processing, modeling, and analysis, following MLOps best practices.

· Build, optimize, deploy, and monitor scalable machine learning models and pipelines on cloud platforms (Azure preferred; AWS/GCP is a plus)

· Actively participate in code reviews, technical discussions, and knowledge-sharing sessions to drive innovation and best practices.

· Lead client discussions and present actionable insights and recommendations to stakeholders effectively.

· Mentor junior data scientists, providing guidance on model development, best practices, and technical problem-solving.

Qualifications

· Bachelor’s or master's degree in Metallurgy, mechanical, IT, Computer, or a related field from IIT, NIT, or top university.

· 4+ years of experience in data science and machine learning.

· Experience in the metal industry, manufacturing industry, or similar industry exposure

Technical Skills

· Strong Python programming skills with experience in libraries like Pandas, Scikit-learn, TensorFlow, or PyTorch.

· Strong foundation in ML & AI, covering statistical analysis, time series forecasting, deep learning, and optimization, with expertise in ML techniques like Random Forest, Gradient Boosting, Neural Networks, SVM, Clustering, PCA, Reinforcement Learning and and optimization algorithms.

· Proficiency in cloud platforms such as Azure [Preferred], AWS, or GCP.

· Good to have experience with real-time AI model deployment in industrial environments [On-premises, cloud or edge]

· Familiar with SQL and NoSQL databases.

· Understanding of MLOps, including model versioning, monitoring, and deployment.

· Good to have knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI is plus

· Strong analytical and problem-solving skills with a structured approach to debugging and optimization.

· Effective communicator and team collaborator in agile, fast-paced environments.

· Ability to work in a fast-paced, agile environment and adapt to changing priorities.

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

We are looking for a highly skilled AI Platform Engineer to build and scale agentic AI capabilities across our product suite. You’ll work on multi‑agent systems, orchestration platforms, RAG pipelines, and real‑time AI services used in enterprise workflows.

🔹 Key Responsibilities

• Build and maintain AI platform services enabling agentic workflows
• Develop domain-specific agents (proposal generation, compliance, data analysis)
• Implement multi-agent orchestration using LangGraph and related frameworks
• Build APIs, SDKs, and integration layers for product teams
• Design and optimize RAG, GraphRAG, and knowledge ingestion pipelines
• Enhance orchestration platforms, WebSocket communication, and error recovery
• Optimize performance, latency (<3s), cost, and reliability of AI systems
• Collaborate closely with ML engineers and data scientists on models, prompts, and A/B testing

🔹 Required Skills & Experience

• 5+ years of software engineering experience (1–2+ years in AI/ML systems)
• Strong Python (FastAPI, async, LangChain/LangGraph)
• Experience with LLM APIs (OpenAI, Claude, Llama, Phi‑3)
• Hands-on RAG, embeddings, vector databases, and hybrid search
• React + TypeScript experience (WebSockets, hooks, real-time UI)
• Knowledge of multi-agent systems, prompt engineering, and orchestration patterns
• Solid backend fundamentals: REST APIs, databases, auth, testing, Git

🔹 Nice to Have

• MLOps exposure (prompt versioning, monitoring, A/B testing)
• Experience with semantic caching and context management
• Docker and cloud deployment basics

AI Lead (Backend Systems & Architecture)

This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.

At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.

You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.

What You’ll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
• Own systems end-to-end: architecture, development, deployment, and scaling
• Build reliable, high-performance distributed systems
• Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
• Lead backend and AI initiatives with strong technical ownership
• Ensure performance, scalability, observability, and cost efficiency
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to build AI-native solutions

What We’re Looking For

• Proven experience in architecting and scaling backend systems end-to-end
• Strong expertise in Python (Django / Flask / FastAPI)
• Deep understanding of distributed systems and system design
• Hands-on experience with AWS or GCP in production environments
• Solid experience working with LLMs (Claude, GPT, etc.)
• Strong knowledge of:
• Retrieval-Augmented Generation (RAG)
• Vector databases (Pinecone, FAISS, Weaviate, etc.)
• Experience in building and managing microservices architectures
• Ability to lead teams, mentor engineers, and drive technical excellence
• Strong problem-solving skills with an ownership mindset

Nice to Have

• Experience building AI agents or autonomous systems
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• Understanding of MLOps and AI system lifecycle
• Experience optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable in fast-moving, ambiguous environments
• You stay updated with the latest advancements in AI and backend technologies

This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.

About Antier Solutions

Antier Solutions is a global blockchain development company delivering innovative decentralized solutions and emerging technology services across industries. As we expand our AI capabilities, we are committed to building intelligent, scalable, and enterprise-grade AI systems that seamlessly integrate with Web3, FinTech, and other enterprise ecosystems.

Role Overview

We are seeking a highly skilled AI Solution Architect to lead the design and deployment of advanced AI-driven systems. The ideal candidate will be responsible for architecting end-to-end AI solutions, integrating large language models (LLMs), designing intelligent automation frameworks, and collaborating with cross-functional teams to deliver scalable AI platforms. This role demands deep technical expertise, strong architectural thinking, and hands-on implementation across AI/ML, cloud, and modern application stacks.

Key Responsibilities

• Design and architect scalable AI/ML solutions aligned with business objectives.
• Lead end-to-end solution design for LLM-based applications and enterprise AI platforms.
• Develop intelligent automation systems leveraging advanced reasoning and multi-step workflow orchestration.
• Architect conversational AI systems, recommendation engines, predictive analytics, and AI-powered decision systems.
• Define AI governance, model lifecycle management, monitoring, and MLOps strategies.
• Collaborate with engineering teams for implementation, deployment, and optimization.
• Design AI microservices architectures using modern backend frameworks.
• Work closely with product, blockchain, and Web3 teams to integrate AI capabilities into decentralized ecosystems.
• Evaluate and select appropriate AI frameworks, tools, and cloud services.
• Provide technical leadership, mentorship, and architectural guidance to cross-functional teams

Required Skills & Expertise

Core AI & ML

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
• Hands-on experience with LLMs (OpenAI, open-source models, fine-tuning, prompt engineering).
• Experience designing systems capable of autonomous task execution and decision workflows.
• Strong understanding of vector databases, embeddings, and RAG pipelines.

Architecture & Engineering

• Experience designing distributed systems and microservices architecture.
• Strong knowledge of Python, FastAPI/Flask, and relevant AI frameworks (TensorFlow, PyTorch, LangChain, etc.).
• Experience building scalable APIs and AI backend systems.
• Strong understanding of system design, performance tuning, and scalability

Cloud & DevOps

• Experience with AWS/Azure/GCP AI services.
• Experience with containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and MLOps frameworks.
• Experience implementing AI monitoring and observability practices.

Data Engineering

• Experience working with large datasets, ETL pipelines, and real-time processing.
• Familiarity with vector databases and knowledge graphs.

Good to Have

• Experience integrating AI within blockchain/Web3 ecosystems.
• Exposure to intelligent multi-agent or orchestrated AI systems.
• Understanding of AI security, compliance, and ethical AI practices.
• Experience in enterprise AI transformation projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• 8+ years of experience in software engineering.
• 4+ years in AI/ML solution design and architecture roles.

What We Offer

• Opportunity to lead AI innovation in a fast-growing tech environment.
• Work on cutting-edge AI + Web3 integrations.
• High ownership, autonomy, and architectural leadership in a collaborative setting.
• Competitive compensation and benefits.

On-site collaboration in Mohali's innovation hub, with flexibility options where applicable

Senior Quality Engineer – AI Products

Fulltime

Remote

Requirements

● 3-7 years of experience in software quality engineering, preferably in SaaS environments with a platform or infrastructure focus.

● Strong demonstrated experience testing distributed systems, APIs, data pipelines, or cloud-based infrastructure.

● Experience designing and executing test plans for AI/ML systems, data pipelines, or shared platform services.

● Familiarity with AI/LLM infrastructure concepts such as retrieval-augmented generation (RAG), vector search, model routing, and observability.

● Strong demonstrated proficiency in Linux distributions and CLI-based testing, including log file analysis and other troubleshooting tasks.

● Experience with AWS or other major cloud platforms.

● Basic Python/Shell scripting knowledge with ability to edit existing scripts and create new automation for pipeline validation.

● Advanced skills with API and SQL testing methodologies.

● Familiarity with test management tools such as TestRail; experience with Qase is a plus.

● Demonstrated experience leveraging Version Control Systems with a focus on GitHub.

● Experience with testing tools: Jira, Sentry, DataDog.

● Strong understanding of Agile/Scrum methodologies.

● Proven track record of mentoring junior engineers and contributing to process improvements.

● Excellent analytical and problem-solving abilities.

● Strong communication skills with ability to present to both technical and non-technical stakeholders.

● Proficiency in English (C1-C2 level).

● Most importantly: The courage to be vocal about quality concerns, platform risks, and testing impediments.

Preferred Qualifications

● Experience with AI/ML evaluation frameworks or tools (e.g., LLM-as-judge, Ragas, custom eval harnesses).

● Hands-on experience with document parsing, OCR, or unstructured data pipelines.

● Experience with observability tooling (e.g., Datadog, Grafana, OpenTelemetry) from a QA perspective.

● Experience testing SaaS products in regulated industries (such as PCI-compliant).

● Basic understanding of containerization, Kubernetes, and CI/CD pipelines (Jenkins, CircleCI).

● Experience with microservice architectures and distributed systems.

● Knowledge of basic non-functional testing (security, performance) with emphasis on AI-specific concerns.

● Background in security or compliance testing for AI systems.

● Certifications such as ISTQB or CSTE.

● Experience working in legal technology, fintech, or professional services software.

● Familiarity with AI-assisted testing tools and leveraging LLMs as a productivity-boosting tool.

● Experience evaluating and implementing new QE tools and processes

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on developing modern digital solutions and scalable web applications. Our teams work on innovative projects involving web development, cloud technologies, automation tools, and AI-powered platforms designed to solve real-world business challenges.

We are looking for motivated Full Stack Web Developer Interns who are eager to gain hands-on experience in building modern web applications and working with real-world development workflows.

Internship Responsibilities

• Assist in developing responsive and interactive web applications
• Work on frontend development using technologies such as HTML, CSS, JavaScript, and modern frameworks
• Support backend development using technologies such as Node.js, Python, PHP, or similar platforms
• Develop and integrate REST APIs for web applications
• Participate in debugging, testing, and optimizing application performance
• Collaborate with design and development teams on project requirements
• Contribute to building scalable and user-friendly web platforms

Required Skills

• Basic understanding of HTML, CSS, and JavaScript
• Knowledge of web development fundamentals
• Familiarity with frontend frameworks such as React, Angular, or Vue.js is a plus
• Basic understanding of backend development or APIs
• Understanding of databases such as MySQL, MongoDB, or similar
• Good problem-solving and analytical skills
• Ability to learn quickly and work in a team environment

Preferred Qualifications

• Students or recent graduates in Computer Science, IT, Software Engineering, or related fields
• Basic knowledge of Full Stack development
• Familiarity with Git or version control systems
• Exposure to cloud platforms or deployment tools is beneficial
• Interest in modern web technologies and scalable applications

What Interns Will Gain

• Hands-on experience working on real-world web development projects
• Exposure to modern full stack development workflows
• Opportunity to build a strong portfolio of development projects
• Mentorship from experienced developers
• Internship completion certificate based on performance and participation

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on developing intelligent software solutions using Artificial Intelligence, Machine Learning, and advanced data technologies. Our teams work on innovative projects involving data analysis, predictive modeling, automation systems, and AI-powered applications designed to solve real-world business problems.

We are seeking passionate and motivated Artificial Intelligence & Machine Learning Interns who want to gain hands-on experience working on practical AI development projects.

Internship Responsibilities

• Assist in developing and implementing machine learning models
• Work on data preprocessing, data analysis, and model training
• Support AI projects involving predictive analytics, automation, and intelligent systems
• Use Python libraries such as NumPy, Pandas, Scikit-learn, or TensorFlow
• Participate in testing and improving model performance
• Collaborate with development teams on AI-based applications
• Document project workflows and research findings

Required Skills

• Basic knowledge of Python programming
• Understanding of Machine Learning concepts
• Familiarity with data analysis and statistics
• Basic experience with libraries such as Pandas, NumPy, or Scikit-learn
• Interest in Artificial Intelligence technologies
• Good analytical and problem-solving skills

Preferred Qualifications

• Students or recent graduates in Computer Science, Artificial Intelligence, Data Science, or related fields
• Basic knowledge of Deep Learning or Neural Networks
• Familiarity with TensorFlow, PyTorch, or similar frameworks is a plus
• Understanding of data visualization tools is beneficial
• Experience with Git or version control systems is an advantage

What Interns Will Gain

• Hands-on experience working on AI and machine learning projects
• Exposure to real-world datasets and model development
• Opportunity to build a strong AI project portfolio
• Mentorship from experienced developers and data scientists
• Internship completion certificate based on performance and participation

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-focused organization working on modern digital solutions that combine web development and artificial intelligence technologies. Our teams build scalable web platforms, automation tools, and AI-powered applications designed to improve user experiences and business efficiency.

We are looking for enthusiastic Web Developer Interns with an interest in AI integration who want to gain hands-on experience working on modern web technologies and real-world development projects.

Internship Responsibilities

• Assist in developing responsive and dynamic websites using HTML, CSS, JavaScript, and modern frameworks
• Support backend development using technologies such as Node.js, Python, or similar tools
• Work on AI integration in web applications, including APIs and automation features
• Participate in developing full-stack web applications
• Debug, test, and optimize web applications for performance and scalability
• Collaborate with designers and developers on project tasks
• Contribute to building AI-enabled web features such as chatbots, recommendation systems, or smart dashboards

Required Skills

• Basic knowledge of HTML, CSS, and JavaScript
• Understanding of web development fundamentals
• Familiarity with frontend frameworks (React, Angular, or similar) is a plus
• Basic knowledge of backend development or APIs
• Interest in Artificial Intelligence and AI-powered web technologies
• Strong problem-solving and analytical skills
• Ability to learn quickly and work in a collaborative environment

Preferred Qualifications

• Students or recent graduates in Computer Science, IT, Software Engineering, or related fields
• Basic understanding of full stack development
• Familiarity with Git or version control systems
• Exposure to AI tools, APIs, or machine learning concepts is beneficial

What Interns Will Gain

• Hands-on experience working on live web development projects
• Exposure to AI-powered web applications
• Practical experience in modern full-stack development workflows
• Mentorship from experienced developers
• Internship completion certificate based on performance and participation

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on building intelligent digital solutions using modern software engineering and artificial intelligence technologies. Our teams work on projects involving data-driven applications, automation systems, and AI-powered tools designed to solve real-world business challenges.

We are looking for motivated and enthusiastic Python Developer Interns with an interest in Artificial Intelligence who want to gain practical experience working on live development projects.

Internship Responsibilities

• Assist in developing backend applications using Python
• Work on AI-related modules such as machine learning models, data processing pipelines, and automation tools
• Write clean, scalable, and well-documented code
• Support the development of APIs and backend services
• Participate in debugging, testing, and performance optimization
• Collaborate with development teams on project tasks and deliverables
• Contribute to research and implementation of AI/ML solutions

Required Skills

• Basic understanding of Python programming
• Familiarity with data structures and algorithms
• Interest in Artificial Intelligence and Machine Learning
• Basic knowledge of NumPy, Pandas, or similar Python libraries
• Understanding of REST APIs is a plus
• Strong problem-solving skills
• Ability to learn quickly and work in a collaborative environment

Preferred Qualifications

• Students or recent graduates in Computer Science, IT, Data Science, or related fields
• Basic knowledge of Machine Learning concepts
• Experience with Git or version control systems is beneficial
• Familiarity with Flask, Django, or FastAPI is a plus

What Interns Will Gain

• Hands-on experience working on real-world development projects
• Exposure to AI and machine learning development workflows
• Mentorship from experienced developers
• Opportunity to build a strong portfolio with practical project experience
• Internship completion certificate based on performance and participation

Job Title: Sales Development Representative (SDR)

Location: Remote

Reports to: Account Executive

About Snapsight

Snapsight is an AI-powered platform that enhances event experiences through real-time content summarization and insights. We cater to event professionals by offering features like idea clouds, QR code integration, and competitive intelligence to simplify and elevate the experience at any event. With a strong presence in APAC, we are now expanding into North America and Europe, and we’re seeking skilled SDRs to help drive this growth.

Role Overview

As an SDR at Snapsight, you will be the first point of contact for potential customers, engaging key stakeholders in the events industry across the US and Europe. Your efforts will lay the foundation for successful sales cycles by identifying and qualifying prospects that can benefit from our event technology solutions.

Responsibilities:

• Conduct high-volume outbound prospecting to identify and engage event organizers and technology decision-makers.
• Use platforms like Outreach, Clay, and our CRM system to streamline and enhance outreach processes.
• Qualify leads through research and outreach efforts to ensure alignment with Snapsight’s target audience in the events industry.
• Build relationships with prospects, nurturing them until they are ready for handoff to our Account Executives.
• Collaborate closely with our Account Executives to ensure alignment on market insights and prospecting strategies.

Requirements:

Experience: 2-3 years of outbound sales experience, specifically in the US and European markets.

Industry Knowledge: Background in the events industry or event technology, with a deep understanding of the challenges and opportunities in this field.

Tool Proficiency: Hands-on experience with outbound tools like Outreach, Clay, and CRM platforms (e.g., Salesforce, HubSpot).

Skills: Strong communication, active listening, and relationship-building abilities. Proven track record of meeting and exceeding KPIs.

What We Offer:

• Opportunity to join a high-growth company in the event tech space and help shape its expansion into new markets.
• Competitive salary and commission structure.
• Access to the latest tools and resources to support your success.

About the Internship

The Nexora Group Inc. is looking for enthusiastic and motivated interns who want to build practical experience in Data Science and Artificial Intelligence. This internship is designed to provide hands-on exposure to real-world datasets, machine learning techniques, and AI-driven problem solving.

Interns will work closely with our technical team to analyze data, build predictive models, and explore AI tools that support data-driven decision-making.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured datasets
• Perform exploratory data analysis (EDA) to identify trends and patterns
• Develop machine learning models using Python-based libraries
• Assist in building AI-powered data analysis workflows
• Create dashboards, reports, and visualizations to communicate insights
• Work with tools such as Python, Pandas, NumPy, and visualization libraries
• Collaborate with team members on real-world data science projects
• Document project findings and maintain clear technical reports

Required Skills

• Basic knowledge of Python programming
• Understanding of data analysis and statistics
• Familiarity with Machine Learning concepts
• Knowledge of libraries such as Pandas, NumPy, Matplotlib, or Scikit-learn
• Strong analytical and problem-solving skills
• Good communication and documentation skills

Preferred Qualifications

• Students or recent graduates in Computer Science, Data Science, Statistics, Mathematics, or related fields
• Basic understanding of Artificial Intelligence concepts
• Familiarity with Jupyter Notebook or Google Colab
• Interest in working with real-world datasets and analytics tools

What You Will Gain

• Hands-on experience with Data Science and AI projects
• Mentorship from experienced professionals
• Internship completion certificate
• Opportunity to build portfolio projects
• Exposure to real-world industry workflows

AI Native Ops Expert-Director/AVP/VP

EOSGlobe is transforming into an AI-First organisation, and we’re looking for an AI-Native Operations Expert to lead this journey. This role is all about driving automation, re-engineering processes, and embedding AI into every aspect of BPM service delivery. You’ll be the change agent who ensures efficiency, scalability, and measurable impact.

NO of Requirements - 3

What You’ll Do

·     Lead AI-first transformation initiatives across BPM operations.

·     Re-engineer processes using AI, ML, and automation tools.

·     Collaborate with leadership and strategy teams to align transformation goals.

·     Define KPIs, track financial impact, and report progress to senior leadership.

·     Partner with clients to showcase AI-driven efficiency and revenue growth.

---

What We’re Looking For

·     Strong expertise in AI, ML, RPA, and automation technologies.

·     Proven track record in process transformation and digital adoption.

·     Deep understanding of BPM industry dynamics and client delivery models.

·     Exceptional leadership, communication, and stakeholder management skills.

·     Analytical mindset with ability to measure impact on financials and KPIs.

Designation: Director/AVP/VP

CTC: 24 Lac – 36 Lac pa

Immediate Joiners preferred

Job Title:

AI Native Operations Expert – Director / AVP / VP

Company: EOSGlobe

CTC: ₹24 – ₹36 LPA

Open Positions: 3

Experience: 12 – 18 Years

Joining: Immediate Joiners Preferred

Role Overview

EOSGlobe is transforming into an AI-First organization and is looking for an AI Native Operations Expert to lead this transformation. The role focuses on driving automation, process re-engineering, and AI adoption across BPM operations to improve efficiency, scalability, and business impact.

Key Responsibilities

Lead AI-driven transformation initiatives across BPM operations.

Re-engineer processes using Artificial Intelligence, Machine Learning, and automation tools.

Collaborate with leadership and strategy teams to implement AI-first operational models.

Define and track KPIs, productivity metrics, and financial impact of transformation initiatives.

Partner with internal teams and clients to demonstrate AI-driven efficiency and revenue growth.

Identify opportunities for process automation and digital adoption across operations.

Required Skills

Strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and RPA.

Experience in process transformation and digital automation initiatives.

Deep understanding of BPM operations and service delivery models.

Strong leadership and stakeholder management skills.

Analytical mindset with ability to measure financial impact and operational KPIs.

Preferred Qualifications

Experience leading large-scale automation or AI transformation projects.

Exposure to BPM, consulting, or operations leadership roles.

Excellent communication and strategic thinking skills.

We are looking to recruit an expert for backend software development at Webnyay. We are an enterprise SaaS startup catering to India and international markets. We are now growing fast and need a rockstar senior software developer who is an expert in Python/Django and GCP.

What we are looking for:

• At least 6 years of professional software development experience.
• At least 4 years of experience with Python & Django.
• Proficiency in Natural Language Processing (tokenization, stopword removal, lemmatization, embeddings, etc.)
• Experience in computer vision fundamentals, particularly object detection concepts and architectures (e.g., YOLO, Faster R-CNN)
• Experience in search and retrieval systems and related concepts like ranking models, vector search, or semantic search techniques
• Experience with multiple databases (relational and non-relational).
• Experience with hosting on GCP and other cloud services.
• Familiar with continuous integration and other automation.
• Focus on code quality and writing scalable code.
• Ability to learn and adopt new technologies depending on business requirements.
• Prior startup experience will be a plus!

Some of your responsibilities would include:

• Work closely in a highly AGILE environment with a team of engineers.
• Create and maintain technical documentation of technical design and solution.
• Build products/features that are highly scalable, secure, highly available, high performing and cost-effective.
• Help team in debugging.
• Perform code reviews.
• Understand the full feature set/ implementation and architecture of the applications.
• Analyze business goals and product requirements and contribute to application architecture design, development and delivery.
• Provide technical expertise for every phase of the project lifecycle; from concept development to solution design, implementation, optimization and support.
• Act as an Interface with business teams to understand and create technical specifications for workable solutions within the project.
• Explore and work with LLM APIs and Generative AI.
• Make performance-related recommendations, identify and eliminate performance bottlenecks (hardware, software, configuration); drive performance tuning, re-design and re-factoring.
• Participate in the software development lifecycle, which includes research, new development, modification, security, reuse, re-engineering and maintenance of common component libraries.
• Participate in product definition and feature prioritization.
• Collaborate with internal teams and stakeholders across business verticals.

Job Title : Principal Backend Engineer (AI-Driven)

Experience : 10+ Years

Location : Chandigarh

Tech Stack : PHP, Node.js, Laravel, MySQL, MongoDB

Additional Requirement : Hands-on experience with AI technologies, APIs, or ML integrations

Role Overview :

We're looking for a Principal Backend Engineer (AI-Driven) to design and lead scalable backend systems while driving AI adoption across products.

The role involves integrating AI-powered features, architecting intelligent systems, and mentoring engineering teams on modern backend and AI implementation.

Key Responsibilities :

• Design and lead backend architecture using PHP (Laravel/CodeIgniter) and Node.js
• Build scalable microservices / modular backend systems
• Develop APIs and backend workflows for AI-driven features
• Integrate AI APIs (OpenAI, LangChain or similar frameworks)
• Work with LLMs, embeddings, vector databases, and AI pipelines
• Ensure performance, scalability, and security of backend systems
• Mentor engineering teams and drive backend + AI best practices

Requirements :

• 10+ years of backend development experience
• Strong expertise in PHP / Node.js, MySQL, MongoDB
• Hands-on experience integrating AI/ML APIs or AI-powered features
• Strong system design and architecture skills
• Experience leading engineering teams

Good to Have :

• Prompt engineering or AI cost optimization
• Exposure to MLOps / ML pipelines

5+ years of experience in automation-focused QA roles

Strong programming skills in Java / Python / JavaScript

Experience in building automation testing frameworks

Strong knowledge of API testing and backend validation

Experience writing integration and concurrency tests

Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI)

Good knowledge of SQL and data validation

Understanding of race conditions, retries, idempotency, and asynchronous systems

Job Title: Tech Developer Intern

Department: Technology / Product Development

Location: Hyderabad

Duration: 6 Months Internship

Experience : 3 - 6 months

Job Overview

We are looking for a motivated Tech Developer Intern who is passionate about software development and eager to gain hands-on experience in building and maintaining technology solutions. The intern will work closely with the technology team to assist in development, testing, and improvement of internal systems and digital platforms.

Key Responsibilities

• Assist in developing, testing, and maintaining software applications and internal tools.
• Support the tech team in debugging, troubleshooting, and resolving technical issues.
• Write clean, efficient, and well-documented code.
• Participate in system improvements, feature development, and product enhancements.
• Assist in database management and integration tasks.
• Collaborate with cross-functional teams such as product, operations, and design.
• Conduct basic testing and quality checks for new features and updates.
• Maintain documentation for code, processes, and system changes.

Skills & Qualifications

skills - Typescript, React, Next.js, Redux, Node.js, SQL/NoSQL

• AI - driven development is a plus
• Problem-solving mindset and willingness to learn new technologies.
• Good communication and teamwork skills.

What You Will Gain

• Hands-on experience working on real tech projects.
• Exposure to product development and startup tech environment.
• Mentorship from experienced developers.
• Opportunity to convert into a full-time role based on performance.

Role Overview

We are looking for a QA Automation Engineer who can leverage AI-driven testing approaches to improve automation coverage, test reliability, and data generation.

The ideal candidate should have strong experience in backend-heavy automation testing, modern automation frameworks, and using AI tools to generate test cases, maintain test scripts, and create synthetic data for testing.

Key Responsibilities

• Design and develop automated test frameworks for backend and API-heavy applications.
• Use AI tools to generate test scripts from requirements (e.g., Gherkin/Cucumber-based test generation).
• Implement and maintain self-healing test automation frameworks that adapt to UI changes.
• Develop automated tests using Playwright, Appium, and other modern automation tools.
• Create synthetic test data using AI while ensuring PII compliance.
• Perform backend stress testing and API validation.
• Work closely with engineering teams to ensure product quality and release readiness.
• Continuously improve test coverage, test reliability, and automation efficiency.

Must-Have Skills

• 4+ years of experience in QA Automation
• Strong experience in automation testing frameworks
• Hands-on experience with Playwright for web automation
• Experience with Appium for mobile automation
• Proficiency in Python for test scripting and data generation
• Experience writing BDD-style test cases (Gherkin / Cucumber)
• Experience in API testing and backend automation
• Familiarity with AI-assisted test generation tools
• Strong knowledge of CI/CD pipelines and automated testing workflows

Relevant Skills

• Backend automation testing
• Test automation frameworks design
• AI-assisted test generation
• Synthetic test data generation
• Performance and stress testing
• API testing tools (Postman, REST clients)
• Test reporting and debugging
• Version control using Git

AI & Automation Expertise

• Using AI tools to generate test cases from requirements
• Experience with self-healing test automation frameworks such as Mabl or Testim
• Using AI to generate synthetic financial datasets for testing
• Testing AI-powered applications or AI features

Tools & Technologies

• Playwright
• Appium
• Python
• Cucumber / Gherkin
• CI/CD tools
• Git

Strong Plus

• Experience working in the Finance / FinTech sector
• Experience testing AI-powered applications
• Experience working closely with AI engineering teams

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

Role Overview

We are looking for Frontend Developers with strong experience in Angular and/or Flutter who are comfortable working in a modern AI-assisted development environment.

The ideal candidate should be skilled in rapid UI prototyping using AI tools, converting design concepts into high-quality frontend components, and ensuring that AI-generated code meets accessibility (A11y), performance, and corporate styling standards.

Key Responsibilities

• Build responsive and scalable frontend applications using Angular and/or Flutter.
• Use AI-powered tools to accelerate UI development and component generation.
• Convert Figma designs into high-fidelity UI components efficiently.
• Use tools like v0.dev, Screenshot-to-Code, or similar AI design-to-code tools to generate UI components.
• Ensure AI-generated code meets accessibility (A11y) and UI/UX standards.
• Maintain consistent corporate design systems and styling standards.
• Collaborate closely with design and backend teams to deliver seamless user experiences.
• Optimize UI components for performance and responsiveness.

Must-Have Skills

• 3–5 years of frontend development experience
• Strong proficiency in Angular and/or Flutter
• Experience building responsive and scalable UI components
• Experience converting Figma designs into frontend components
• Familiarity with AI-assisted development tools (v0.dev, Screenshot-to-Code, Cursor, Copilot, etc.)
• Strong understanding of HTML, CSS, and modern frontend frameworks
• Experience ensuring accessibility (A11y) compliance
• Experience using Git and modern development workflows

Relevant Skills

• Angular framework and component architecture
• Flutter UI development
• Responsive UI and cross-device compatibility
• Figma design handoff and collaboration
• AI-powered design-to-code tools
• Component libraries and design systems
• API integration with backend services

Good to Have

• Experience with AI Engineering or AI-powered applications
• Experience using Figma AI plugins for design handoff
• Knowledge of UI performance optimization
• Experience working in rapid prototyping environments

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary:

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

Role Overview

We are seeking an experienced Machine Learning Engineer to design, develop, deploy, and scale machine learning solutions in production environments. The ideal candidate will have strong expertise in model development, MLOps, backend integration, and scalable ML system architecture.

Key Responsibilities

• Design, train, and deploy machine learning and deep learning models for real-world applications.
• Build and scale ML models and pipelines to handle large datasets and high-traffic production workloads.
• Perform data exploration, preprocessing, feature engineering, and dataset optimization.
• Develop and integrate APIs for ML model consumption using frameworks such as FastAPI, Flask, or Django.
• Implement end-to-end ML workflows, including experimentation, versioning, deployment, and monitoring.
• Build scalable data pipelines and processing workflows for batch and real-time use cases.
• Monitor model performance, drift, and system reliability in production.
• Collaborate with data engineers, DevOps, and product teams to productionize ML solutions.

Required Skills & Qualifications

• 5+ years of experience in Machine Learning Engineering or related roles.
• Proven experience in training, developing, deploying, and scaling ML models in production.
• Strong knowledge of data exploration, preprocessing, and feature engineering techniques.
• Proficiency in Python and ML/Data Science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
• Experience with API development and backend integration (FastAPI, Flask, Django).
• Solid understanding of MLOps tools and practices, including MLflow, Kubeflow, Airflow, Prefect, Docker, and Kubernetes.
• Experience building scalable data pipelines, processing workflows, and monitoring deployed models.

Role Overview

We are looking for a Senior Backend Developer with strong Node.js expertise who is comfortable working in an AI-assisted development environment. The ideal candidate should be proficient in leveraging modern AI developer tools to accelerate development, improve code quality, and help modernize legacy systems.

This role involves working on backend systems, microservices architecture, and AI-powered development workflows, including refactoring legacy applications into modern Node.js services.

Key Responsibilities

• Design, build, and maintain scalable backend services using Node.js.
• Leverage AI-powered developer tools such as GitHub Copilot, Cursor, or Amazon Q to improve development efficiency.
• Refactor and modernize legacy .NET applications into Node.js-based microservices using AI-assisted workflows.
• Design and optimize database schemas and complex SQL queries for performance and scalability.
• Work with PostgreSQL and Redis for high-performance data storage and caching.
• Build and integrate AI-based features and services into backend applications.
• Automate development workflows through custom CLI tools or IDE extensions.
• Collaborate with cross-functional teams to deliver high-quality backend solutions.

Required Skills & Experience

• 5+ years of backend development experience
• Strong expertise in Node.js backend development
• Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Amazon Q, or similar)
• Experience working with PostgreSQL and Redis
• Strong understanding of microservices architecture and API design
• Experience with AI engineering (building or integrating AI-powered features)
• Strong problem-solving and debugging skills

Good to Have

• Prior experience with .NET / C#
• Experience modernizing legacy systems
• Experience building developer productivity tools (CLI tools, IDE extensions, automation)
• Experience optimizing complex SQL queries and database migrations

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.

Prompt Engineer Intern – AI Video Architect (Character & Motion)

We’re not looking for someone who types prompts.

We’re looking for someone who directs digital actors.

If you understand that AI video isn’t about randomness — it’s about control, continuity, and cinematic intent — keep reading.

🎬 Your Mission:

Solve the hardest problem in AI video right now — perfect character consistency + believable motion.

You’ll be the digital director commanding virtual sets.

From neon rainstorms to sunlit boardrooms, our protagonist must look the same. Move the same. Feel real.

🔥 What You’ll Actually Do

• Command next-gen video engines (Veo, Sora, Runway) with intent

• Anchor character identity using Cref systems & seed control

• Eliminate uncanny valley motion

• Build hero frames → convert them into cinematic sequences

• Control camera language (focal length, lighting, framing)

• Direct micro-expressions + lip-sync realism

• Build structured I2V workflows (bonus if you love ComfyUI / Python)

🧠 You Might Be a Fit If:

• You obsess over why a shot feels “off”
• You understand physics, not just prompts
• You think like a filmmaker but build like an engineer
• You test, iterate, refine — until it’s seamless

This is not a passive internship.

You’ll help define how AI cinema is actually made.

If you’re ready to build the future of AI filmmaking —

DM us your portfolio + experiments.

Let’s create something unreal. 🎥

FULL STACK DEVELOPER

JOB DESCRIPTION – FULL STACK DEVELOPER 

Location: Bangalore 

Key Responsibilities:       

Establish processes, SLAs, and escalation protocols for the support & maintenance of web applications       

Manage stakeholders with effective communication & collaborate with cross functional teams to address issues and maintain business continuity.      

Design, implement, unit test, and build business applications using React, React-Native, .Net Core, .Net 8, Azure/AWS and leveraging an agile methodology and latest tech like Agentic AI & Gihub Copilot.     

Facilitate scrum ceremonies including sprint planning, retrospectives, reviews, and daily stand-ups·       

Facilitate discussion, assessment of alternatives or different approaches, decision making, and conflict resolution within the development team       

Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source control artifacts via Git in alignment with common branching strategies and workflows    

Assist Software Designer/Implementers with the creation of detailed software design specifications      

Participate in the system specification review process to ensure system requirements can be translated into valid software architecture       

Integrate internal and external product designs into a cohesive user experience       

Identify and keep track of metrics that indicate how software is performing     

Handle technical and non-technical queries from the development team and stakeholders      

Ensure that all development practices follow best practices and any relevant policies / procedures 

Other Duties·       Maintain project reporting including dashboards, status reports, road maps, burn down, velocity, and resource utilization.    

Own the technical solution and ensure all technical aspects are implemented as designed. ·       

Partner with the customer success team and aid in triaging and troubleshooting customer support issues spanning across a range of software components, infrastructure, integrations, and services, some of which target 24/7/365 availability     

Flexible to work in rotational shift   

Required Qualification     

Previous experience of leading full stack technology projects with scrum teams and stakeholder management·       

BTech or MTech in computer science, or related field·       

3-5 years of experience.  

Required Knowledge, Skills and Abilities: (Include any required computer skills, certifications, licenses, languages, etc)·      

With Proficiency in .NET Core/.Net 8/, React, React-Native, Redux, Material, Bootstrap, Typescript, SCSS, Microservices, EF, LINQ, SQL, Azure/AWS, CI CD, Agile, Agentic AI, Github Copilot·       

Azure Dev Ops, Design System, Micro front ends, Data Science·       

Stakeholder management & excellent communication skills.    

Must have skills

React - 3 years

React Native - 3 years

Redux - 1 years

Material UI - 1 years

Typescript - 1 years

Bootstrap - 1 years

Microservices - 2 years

SQL - 1 years

Azure - 1 years

Nice to have skills

.NET Core - 3 years

NET 8 - 3 years

AWS - 1 years

LINQ - 1 years

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

About the Role: 

Lead & Scale a High-Growth Inbound SaaS Sales Team We are looking for a hands-on Sales Team Leader – Inbound SaaS to own revenue outcomes and lead a team of inbound Business Consultants. This role is ideal for someone who has closed inbound SaaS deals, handled monthly revenue targets, and is ready to build, coach, and scale a high-performing sales team. You will work with high-intent inbound leads, sell a category-leading SaaS product, and play a critical role in driving MyOperator’s revenue growth.

What You’ll Own

• Lead, mentor, and manage a team of inbound Business Consultants to achieve monthly MRR targets
• Drive daily execution through stand-ups, pipeline reviews, and deal strategy discussions
• Own conversion metrics across calls, demos, closures, and revenue
• Ensure strong CRM hygiene, process adherence, and forecast accuracy

Revenue & Process Ownership

• Deliver consistent achievement of revenue and closure targets
• Ensure fast, high-quality follow-ups across all inbound leads
• Support negotiations, deal closures, and retention of key customers.

Training & Team Development

• Identify performance gaps and partner with L&D to strengthen sales capability
• Conduct regular role-plays, feedback sessions, and coaching conversations
• Build a strong, motivated, and accountable sales culture

Qualifications

Who Should Apply (tightened & clearer)

• 4–6 years of experience in B2B Inside Sales / SaaS Sales
• Minimum 2 years of team-handling experience with revenue ownership
• Proven success in inbound sales environments with monthly targets
• Strong experience using CRM tools (Zoho preferred)
• High ownership mindset, data-driven approach, and strong communication skills
• Experience in SaaS / cloud telephony / communication technology is a plus

Why Join MyOperator

• Work in a high-growth SaaS environment with strong inbound demand
• Clear ownership of revenue and team performance
• Fixed salary + performance-driven incentives with real upside
• Opportunity to sell and scale impactful AI-powered SaaS solutions

Description

JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST 

Key Responsibilities ·       

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·       

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·       

Solid understanding of time-series forecasting techniques·       

Good hands-on skills in both feature engineering and hyperparameter optimization·       

Able to write clean and tested code that can be maintained by other software engineers·       

Able to clearly summarize and communicate data analysis assumptions and results·       

Able to craft effective data pipelines to transform your analyses from offline to production systems·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·       

Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·       

Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·       

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·       

Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·       

Lead discussions at peer review and use interpersonal skills to positively influence decision making·       

Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·       

Facilitate cross-geography sharing of new ideas, learnings, and best-practices 

What We Are Looking For 

Required Qualifications ·       

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·       

4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·       

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·       

Strong experience in Time Series Forecasting and Demand Planning ·       

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·       

Good hands-on skills in both feature engineering and hyperparameter optimization ·       

Experience producing high-quality code, tests, documentation·       

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·       

Proficiency in statistical concepts and ML algorithms·       

Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·       

Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams 

Desired Qualifications ·      

Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·       

Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·       

Experience in creating CI/CD pipelines for deployment using Jenkins. ·       

Experience implementing MLOPs framework along with understanding of data security·       

Implementation on ML models·       

Exposure to visualization packages and Azure tech stack.  

Must have skills

Python - 2 years

Data Science - 4 years

SQL - 2 years

Machine Learning - 2 years

Nice to have skills

Data Analysis - 4 years

Time Series Forecasting - 2 years

Demand Planning - 2 years

Hadoop - 2 years

Statistical concepts - 2 years

Supply chain functions - 2 years

Hi ,

Title                            : Senior AI/ML Engineer

Experience                 : 5 – 10+ Yrs

Location                     : Bengaluru

Work Type                : Hybrid – 2 days Work from office

Type of hire               : PwD & Non-PwD Inclusive Hiring

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Workdays                   : Mon - Fri

Role Overview

We are seeking an exceptional AI Engineer who can design and build production-grade AI systems that combine advanced machine learning, Generative AI, and scalable software engineering.

This role goes beyond traditional data science and focuses on building end-to-end AI platforms, autonomous AI agents, intelligent decision systems, and enterprise AI applications.

You will work on real-world enterprise problems across industries, developing AI systems that automate reasoning, prediction, and decision-making at scale.

What You Will Build

Examples of systems you may work on:

• AI Copilots for enterprise workflows

• Autonomous AI agents for automation

• Decision intelligence platforms

• Retrieval-Augmented Generation (RAG) systems

• Predictive ML systems for forecasting and anomaly detection

• AI-powered knowledge assistants

• Intelligent automation platforms

Key Responsibilities

1. Advanced Machine Learning & Predictive Systems

Design and implement ML models including:

• Time series forecasting

• Predictive modeling

• Anomaly detection

• Recommendation systems

• NLP / text intelligence

• Deep learning models

Develop models using:

• PyTorch

• TensorFlow

• Scikit-learn

• XGBoost / LightGBM

2. Generative AI & LLM Systems

Build enterprise-grade GenAI applications including:

• AI copilots

• conversational agents

• document intelligence systems

• enterprise knowledge assistants

Develop LLM systems using:

• OpenAI / Claude / Gemini / Llama

• prompt engineering techniques

• embeddings and semantic search

• RAG architectures

3. Agentic AI Systems

Design autonomous AI systems capable of reasoning and executing tasks.

Build multi-agent architectures using:

• LangGraph

• CrewAI

• AutoGen

• Semantic Kernel

Integrate agents with:

• APIs

• enterprise data systems

• internal workflows

4. AI Platform Engineering

Develop scalable AI services and applications using:

• Python

• FastAPI / Flask

• asynchronous processing

• distributed compute frameworks

Build production-grade APIs and AI services.

5. Enterprise AI Deployment & MLOps

Deploy AI models into scalable production environments.

Work with:

• Docker

• Kubernetes

• CI/CD pipelines

• MLflow / experiment tracking

• model monitoring and drift detection

Deploy AI solutions on:

• Azure

• AWS

• GCP

6. Data Integration & AI Systems

Work with enterprise data sources including:

• relational databases

• data warehouses (Snowflake, Redshift, BigQuery)

• data lakes (S3 / Azure Data Lake)

• vector databases (Pinecone, Weaviate, FAISS)

Required Skills:

Programming

Expert-level proficiency in:

• Python

• software engineering best practices

• data structures and algorithms

Experience building production-ready systems.

Machine Learning

Strong expertise in:

• supervised learning

• unsupervised learning

• deep learning

• time-series modelling

• model evaluation and optimization

Generative AI

Experience working with:

• LLM APIs

• prompt engineering

• RAG pipelines

• embeddings and vector search

AI Architecture

Ability to design:

• scalable AI systems

• distributed ML systems

• intelligent automation platforms

Preferred Experience

• Building enterprise AI products

• Developing AI copilots or agents

• Designing decision intelligence platforms

• Experience with large-scale data systems

Ideal Candidate Profile

The ideal candidate is:

• A strong ML engineer AND software engineer

• Comfortable building AI systems end-to-end

• Experienced in deploying models to production

• Passionate about next-generation AI architectures

We value builders who ship real systems, not just research prototypes.

Education

Bachelor’s / Master’s in:

Computer Science

Artificial Intelligence

Machine Learning

Data Science

or related field.

Why Join Ampera

At Ampera, we are building AI-native enterprise platforms that transform how organizations use data and intelligence.

Engineers at Ampera work on:

• real-world enterprise AI systems

• cutting-edge GenAI and agentic architectures

• global enterprise clients across industries

• high-impact AI platforms that scale.

What Makes This Role Unique

You will help build the next generation of enterprise AI systems — where AI moves beyond prediction and becomes an autonomous decision-making layer for organizations.

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

.

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Role Overview

We are looking for a sharp and high-ownership Founder’s Office Associate to work closely with the Co-founder CTO on strategic, branding, and operational initiatives.

This is a technical but non-coding role — ideal for someone who understands engineering concepts and can engage meaningfully with technical teams, but does not want to pursue a core software development career.

You will act as a bridge between the CTO and internal engineering teams, ensuring alignment, speed, and clarity across projects.

Key Responsibilities

Work directly with the CTO on high-priority strategic initiatives

Coordinate closely with the engineering team to track progress and unblock execution

Translate complex technical discussions into clear documentation, decks, and internal updates

Drive internal operational processes and improve team workflows

Support hiring initiatives, partnerships, and special projects

Create high-quality content including internal memos, product narratives, and thought leadership pieces

Bring structure to ambiguity and ensure action-oriented follow-through

Who We’re Looking For

Recent graduate (0–2 years experience) from IITs, BITS, or other top-tier institutes

Strong technical foundation with an engineering or computer science background

Excellent written and verbal communication skills

Structured thinker with strong analytical ability

Comfortable interacting with engineers and understanding technical systems

Not actively looking to pursue a core coding role

Highly proactive, detail-oriented, and ownership driven

Why This Role

Direct exposure to founder-level decision making

High learning velocity across AI, deep-tech, and startup execution

Opportunity to build 0→1 operating experience

Strong launchpad for future roles in Product, Strategy, Venture Capital, or Entrepreneurship

Job Title: Tech Lead

Location: Gachibowli, Hyderabad

Required Skills/Experience:

• 6+ years of experience in designing and developing enterprise and/or consumer-facing applications using technologies and frameworks like JavaScript, Node.js, ReactJS, Angular, SCSS, CSS, and React Native.

• 2+ years of experience in leading teams (guiding, designing, and tracking tasks) and taking responsibility for delivering projects as per agreed schedules.

• Hands-on experience with SQL and NoSQL databases.

• Hands-on experience working in Linux OS environments.

• Strong debugging, troubleshooting, and problem-resolution skills.

• Experience in developing responsive and scalable web applications.

• Good communication skills (verbal and written) to effectively interact with customers and internal teams.

• Ability and interest in learning new technologies and adapting to evolving technical requirements.

• Experience working in the complete product development lifecycle (prototyping, development, hardening, testing, and deployment).

• Exposure to AI/ML concepts and ability to integrate AI-based features into applications.

• Experience using AI tools such as ChatGPT, GitHub Copilot, Gemini, or similar tools for improving development productivity, automation, and documentation.

Additional Skills/Experience:

• Working experience with Python and NoSQL databases such as MongoDB and Cassandra.

• Exposure to AI, Machine Learning (ML), Natural Language Processing (NLP), and Predictive Analytics domains.

• Familiarity with modern AI frameworks or APIs and experience integrating AI-powered capabilities into applications is a plus.

• Eagerness to participate in product functional design and user experience discussions.

• Familiarity with internationalization (i18n) and the latest trends in UI/UX design.

• Experience implementing payment gateways applicable across different countries.

• Experience with CI/CD pipelines and tools such as Jenkins, Nginx, and related DevOps practices.

Educational Qualification:

• B.Tech / M.Tech in Computer Science Engineering (CSE), Information Technology (IT), Electronics & Communication Engineering (ECE), Artificial Intelligence (AI), Machine Learning (ML), or Data Science (DS) from a recognized university.

Job Title : AI Consulting Lead (Principal)

Experience : 8 to 12+ Years

Location : Mumbai (Andheri West)

Work Mode : On-site

Employment Type : Full-time Opportunity

Role Overview :

We are looking for an experienced AI Consulting Lead to drive enterprise AI transformation initiatives.

The role involves working closely with CXOs to convert AI ambitions into ROI-driven programs, designing scalable AI solutions, and leading end-to-end delivery of transformation projects.

Mandatory Skills :

AI Strategy, Generative AI, LLMs, RAG, Agentic AI, Enterprise AI Transformation, Program Delivery, Stakeholder Management, Digital Transformation, Consulting.

Key Responsibilities :

• Engage with senior stakeholders to identify AI-led business transformation opportunities.
• Design and manage large-scale consulting programs including scope, pricing, and governance.
• Collaborate with AI architects to implement agentic AI solutions (LLMs, RAG, AI agents, automation).
• Lead 6–8 week pilot deployments and scale successful use cases across business functions.
• Manage client relationships, program delivery, and account growth.
• Develop reusable consulting frameworks, playbooks, and transformation standards.

Requirements :

• 8 to 12+ years of experience in management consulting, digital transformation, or technology consulting.
• Proven experience leading enterprise transformation programs.
• Strong understanding of LLMs, AI agents, RAG architectures, and enterprise AI platforms.
• Excellent stakeholder management and CXO-level communication skills.

Nice to Have :

• Experience with LangChain, AutoGen, CrewAI, or Vector Databases.
• Domain exposure in HR, Finance, Manufacturing, or Supply Chain.

Job Title : AI Analyst (Fresher / Associate)

Experience : 0 to 3 Years

Location : Andheri West, Mumbai (Onsite)

Reporting To : AI Architect

Employment Type : Full-Time

About the Role :

We are hiring an AI Analyst to work with enterprise clients on the assessment, design, and validation of AI systems. This is a hands-on role at the intersection of business, technology, and responsible AI, focused on building production-ready, scalable, and governed AI solutions aligned with real business outcomes.

Mandatory Skills :

Artificial Intelligence (AI), Large Language Models (LLM), AI Agents, Generative AI, Machine Learning basics, Python, Prompt Engineering, Analytical Thinking.

Key Responsibilities :

• Review existing AI workflows, agents, and LLM usage to identify risks, gaps, and inefficiencies.
• Support the design of AI agent workflows aligned with business requirements.
• Help implement AI guardrails, governance frameworks, and safety mechanisms.
• Design evaluation and validation frameworks to test accuracy, reliability, and cost efficiency.
• Support AI pilot launches and production readiness.
• Communicate AI system behavior and insights to technical and non-technical stakeholders.

Required Skills :

• Strong analytical and systems thinking.
• Exposure to LLMs, AI agents, or AI workflows.
• Ability to translate business requirements into AI solutions.
• Good problem-solving and communication skills.
• Comfortable working in fast-paced environments.

Preferred :

• Consulting or client-facing experience.
• Exposure to enterprise AI deployments or regulated environments.

Education :

• Degree in Computer Science, Engineering, AI, or Data Science preferred.
• Strong practical AI skills are also valued.

Why Join Us :

• Work on real-world AI systems with enterprise clients, gain exposure to production AI and responsible AI deployment, and build a strong foundation in Applied AI and AI Systems Architecture.

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Senior BackEnd Engineer

The ideal candidate will have a strong background in building scalable applications, a deep understanding of back-end technologies, and experience with cloud infrastructure. As a Back End Engineer, you will be responsible for designing, developing, and maintaining a scalable workflow management system. You will work closely with cross-functional teams to build robust and efficient applications that meet the needs of our users. Your expertise in Scala, Python, AI Agents/APIs, and GCP will be crucial in ensuring our system is reliable, performant, and scalable.

Key Responsibilities:

Back-End Development:

• Build and maintain back-end services and APIs using Scala.
• Implement and optimize Orchestration workflow system involving database queries and operations.
• Build API integrations with Third Party APIs and services.
• Ensure robust and scalable server-side logic.

Cloud Integration:

• Deploy, manage, and monitor applications on Google Cloud Platform (GCP).
• Utilize GCP services to enhance application performance and scalability.
• Implement cloud-based solutions for data storage, processing, and analytics.

Collaboration And Communication:

• Work closely with cross-functional teams to define, design, and ship new features.
• Participate in code reviews and contribute to sharing team knowledge.
• Document development processes, coding standards, and project requirements.

Qualifications:

• Educational Background:
• Completed a masters/bachelor degree in Computer Science, Engineering, or a related field.
• Technical Skills:
• Proficiency in Scala programming language.
• Strong experience with React and ReactJS.
• Familiarity with Google Cloud Platform (GCP) and its services.
• Knowledge of front-end development tools and best practices.
• Understanding of RESTful API design and implementation.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies and challenges.

Preferred Qualifications:

• Experience with version control systems such as Git.
• Familiarity with CI/CD pipelines and DevOps practices.
• Understanding of workflow management systems and their requirements.
• Experience with containerization technologies like Docker.

Must have Skills

• Scala - 4 Years
• React.Js - 1 Years
• RESTful API - 4 Years
• Docker - 2 Years
• Python - 3 Years
• Artificial Intelligence - 2 Years