Job Description:

- As an AI ML Engineer you will help build and implement the AI capabilities that power our agentic AI platform
- You will work closely with AI ML architects founding team data engineers and platform engineers to develop agent workflows retrieval pipelines evaluation routines and production ready AI components
- This is a hands on engineering role for someone who is comfortable building with up-to-date AI ML and LLM frameworks agentic AI systems experimenting with models and prompts and translating design patterns into working software
- The role is ideal for an engineer who wants to work on real world enterprise AI systems rather than isolated demos

Key Responsibilities:

- Build and enhance AI agent workflows using frameworks such as LangGraph LangChain AutoGen CrewAI or equivalent technologies
- Implement AI agents for data discovery profiling enrichment extraction classification contextual reasoning and enterprise knowledge discovery
- Develop retrieval augmented generation pipelines including document chunking embedding generation metadata tagging vector indexing retrieval tuning and response generation
- Work with vector databases such as Pinecone Milvus Qdrant Weaviate pgvector Chroma or equivalent technologies
- Build structured data agents that can connect to databases inspect schemas generate SQL and support semantic understanding of enterprise data




- Implement document intelligence workflows for PDFs Word documents emails transcripts logs and semi structured enterprise content using Azure Document Intelligence AWS Textract LlamaParse or equivalent tools
- Support prompt engineering prompt testing prompt versioning and reusable prompt template development
- Implement AI evaluation routines covering answer quality retrieval quality hallucination checks regression tests robustness checks and response consistency
- Support integration with LLM APIs and open source models from providers such as OpenAI Anthropic Azure OpenAI Hugging Face Llama Gemma or equivalent ecosystems

Technical Requirements:

- Strong hands on programming experience in Python and building AI agents
- Practical exposure to LLMs RAG vector databases embedding models prompt engineering and AI application development
- Experience with one or more AI LLM frameworks such as LangChain LangGraph LlamaIndex AutoGen CrewAI Semantic Kernel or equivalent tools
- Working knowledge of REST APIs microservices Git based development unit testing and modern software engineering practices
- Familiarity with SQL and structured data concepts including tables schemas joins relationships and query generation

Preferred Skills:

Technology->AI-AI Engineering->LLMOps,Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON

📌 AI/ML Engineer - DaAI (India)
🏢 Infosys
📍 India