IN
Full time
🤖 AI / ML
AI/ML Engineer - DaAI (INFSYS-EXTERNAL-249253) at Infosys
Listed by DevShelfHub
Bangalore, India
Hybrid
Senior · 7–11 yrs
About the Role
Enterprise data discovery and knowledge management need AI agents with RAG pipelines and document intelligence at scale. Infosys is hiring an AI/ML Engineer for DaAI in Bangalore.
What you'll do
- Build and enhance AI agent workflows using LangGraph, LangChain, AutoGen, or CrewAI
- Implement AI agents for data discovery, profiling, enrichment, and enterprise knowledge discovery
- Develop RAG pipelines including document chunking, embedding, vector indexing, and retrieval tuning
- Work with vector databases such as Pinecone, Milvus, Qdrant, Weaviate, pgvector, or Chroma
- Build structured data agents connecting to databases, inspecting schemas, and generating SQL
- Implement document intelligence workflows using Azure Document Intelligence, AWS Textract, or LlamaParse
- Support prompt engineering, prompt testing, versioning, and reusable template development
- Implement AI evaluation routines covering answer quality, retrieval quality, and hallucination checks
- Support integration with LLM APIs from OpenAI, Anthropic, Azure OpenAI, Hugging Face, and open-source models
What we're looking for
- Bachelor of Engineering
- 7-11 years work experience
- Strong hands-on programming in Python and building AI agents
- Practical exposure to LLMs, RAG, vector databases, embedding models, and prompt engineering
Skills & Technologies
Required
Bachelor of Engineering
7-11 years work experience
Strong hands-on programming in Python and building AI agents
Practical exposure to LLMs, RAG, vector databases, embedding models, and prompt engineering
Experience with LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel
Working knowledge of REST APIs, microservices, Git, unit testing, and software engineering practices
Familiarity with SQL and structured data concepts — tables, schemas, joins, query generation
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role builds AI agent workflows for data discovery, document intelligence, and enterprise knowledge management.
- Build AI agent workflows using LangGraph, LangChain, AutoGen, or CrewAI
- Implement AI agents for data discovery, profiling, enrichment, and classification
- Develop RAG pipelines — chunking, embedding, vector indexing, retrieval tuning
- Work with vector databases: Pinecone, Milvus, Qdrant, Weaviate, pgvector, Chroma
- Build structured data agents connecting to databases and generating SQL
- Implement document intelligence for PDFs, emails, transcripts, and enterprise content
- Support prompt engineering, testing, versioning, and reusable templates
- Implement AI evaluation routines — hallucination checks, regression tests, robustness
- Integrate with LLM APIs from OpenAI, Anthropic, Azure OpenAI, Hugging Face
- Apply modern software engineering — REST APIs, microservices, Git, unit testing
About Infosys
Infosys Global Delivery team builds AI agent workflows and data intelligence solutions for enterprise clients. The DaAI initiative focuses on data discovery, profiling, enrichment, and enterprise knowledge discovery using agentic AI.
- Industry
- Technology
- Company Size
- 500+
- Website
- infosys.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 7–11 years
- Location
- Bangalore, India
- Work Mode
- Hybrid
- Category
- AI / ML
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