AI Engineer - Generative AI / Agentic AI

Reposted 11 Days Ago
Be an Early Applicant
Chennai, Tamil Nadu, IND
In-Office
15-15 Annually
Expert/Leader
Information Technology • Software • Consulting
The Role
Lead the AI Capability Centre, driving strategic development and operational excellence in AI solutions while managing a team of AI experts.
Summary Generated by Built In

# AI Engineer – Generative AI / Agentic AI

**Location:** Chennai, India  

**Experience:** 3–7 Years  

**Employment Type:** Full-Time  


## About the Role

We are looking for a hands-on AI Engineer to design, develop, and deploy production-grade Generative AI applications and intelligent AI agents. The ideal candidate should have strong Python engineering skills and practical experience building LLM-powered systems using RAG pipelines, vector databases, orchestration frameworks and cloud AI platforms.

You will work on enterprise AI solutions including conversational AI, document intelligence, AI copilots, agentic workflows, knowledge assistants and AI automation platforms.

## Key Responsibilities

- Design and develop enterprise-grade Generative AI applications

- Build scalable RAG (Retrieval-Augmented Generation) pipelines

- Develop AI agents and multi-agent workflows using modern orchestration frameworks

- Integrate LLMs with enterprise systems, APIs, databases and business workflows

- Implement prompt engineering, evaluation pipelines, guardrails and AI safety mechanisms

- Build conversational AI systems with memory and context management

- Work with vector databases for semantic retrieval and knowledge search

- Develop REST APIs and backend services for AI applications

- Optimize latency, cost, scalability, and reliability of AI systems

- Collaborate with frontend, DevOps, and business teams for production deployment

- Participate in architecture discussions and AI innovation initiatives

## Required Skills

### Core AI / GenAI Skills

- Strong hands-on experience with Python

- Experience with LLMs and Generative AI applications

- Practical implementation experience in:

  - RAG pipelines

  - AI agents / Agentic AI

  - Prompt engineering

  - Conversational AI

  - Tool calling and workflow orchestration

### Frameworks & Libraries

Experience in one or more:

- LangChain

- LangGraph

- LlamaIndex

- CrewAI

- AutoGen

- OpenAI SDK / Anthropic SDK

### Vector Databases

Experience with:

- ChromaDB

- Pinecone

- FAISS

- Weaviate

- Milvus

### Backend & APIs

- FastAPI / Flask

- REST APIs

- Async programming

- Webhooks and integrations

### Cloud & Deployment

Experience in one or more:

- AWS Bedrock

- Azure OpenAI

- Google Vertex AI

- OpenAI APIs

- AWS / Azure / GCP

### Additional Preferred Skills

- Docker & Kubernetes

- CI/CD pipelines

- Monitoring & observability

- PostgreSQL / DynamoDB / MongoDB

- Knowledge Graphs / GraphRAG

- Multimodal AI systems

- AI evaluation frameworks

- MCP / AI tool ecosystem

## Qualifications

- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

- 3+ years of software engineering experience

- Minimum 1–2 years of hands-on GenAI project implementation experience

- Experience building production AI applications preferred

## Good to Have

- Experience with enterprise AI governance and responsible AI

- Exposure to fine-tuning and model optimization

- Open-source contributions or AI portfolio projects

- Experience in scalable distributed systems

## What We Offer

- Opportunity to work on cutting-edge enterprise AI solutions

- Exposure to Agentic AI and next-generation AI architectures

- Fast-paced innovation environment

- Career growth in one of the fastest-growing technology domains



Skills Required

  • Extensive experience in artificial intelligence, machine learning, or related fields, including leadership roles
  • Proven track record of managing and scaling high-performing AI teams
  • Strong expertise in AI technologies, frameworks, and ethical AI practices
  • Demonstrated ability to develop and execute strategic plans
  • Excellent leadership, communication, and stakeholder management skills
  • Advanced degree in Computer Science, Artificial Intelligence, Data Science, or related discipline
  • Experience in budget management and operational planning
  • Familiarity with regulatory requirements related to data privacy and AI ethics
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The Company
HQ: Newcastle upon Tyne
35 Employees
Year Founded: 2015

What We Do

Infotel UK Consulting: Shaping technical innovation, digital transformation and data management We are at the forefront of technical innovation and digital transformation, providing data management systems, process improvement applications, software design, systems migration, and systems integration. We are also a software vendor, with our GDPR compliance software—Deepeo. We work with clients across numerous business sectors, including automotive, the financial sector, the public sector, and supply chain and logistics. Infotel UK is a subsidiary of The Infotel Conseil Group. Infotel UK was established in 2015 and is headquartered in Newcastle upon Tyne. With the growth of our UK business, we invested in a purpose-built innovation lab, allowing us to further support businesses with their IT requirements. Being part of a global group gives us access to 20 service centres throughout Europe and the USA, making us the perfect local partner to team up with.

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