Sr AI/ML Engineer
- Compensation
- Not disclosed
- Location
- Coimbatore; Chennai
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 8+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- • 4–8+ years of experience in AI/ML, data science, applied machine learning or
- software engineering.
- • Strong programming experience in Python with production-quality coding
- practices.
- • Hands-on experience building and deploying applications using LLMs or
- Generative AI models.
- • Practical experience with RAG pipelines, AI agents, prompt engineering,
- embeddings and vector search.
- • Strong understanding of machine learning, deep learning, NLP, model
- evaluation and data processing.
- • Experience with AI orchestration frameworks such as LangChain,
- LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI or
- equivalent.
- • Experience with model platforms such as OpenAI, Azure OpenAI, Anthropic
- Claude, AWS Bedrock, Google Vertex AI, Hugging Face, Llama or Mistral.
- • Experience with vector databases or search platforms such as Pinecone,
- Weaviate, Qdrant, Milvus, FAISS, pgvector, Elasticsearch or OpenSearch.
- • Experience developing REST APIs and microservices using FastAPI, Flask or
- similar frameworks.
- • Experience with SQL, relational databases and structured and unstructured
- data processing.
- • Experience deploying applications on AWS, Microsoft Azure or Google
- Cloud Platform.
- • Working knowledge of Docker, Git, automated testing and CI/CD.
- • Understanding of AI security, privacy, scalability, monitoring, latency and
- cost optimization.
- • Proven experience taking at least one AI/ML product or solution from
Full description
Senior AI/ML Engineer – Generative AI, LLMs & Agentic AI
Experience: 4–8+ years
Location: [Chennai/Coimbatore]
Employment Type: Full-time
Industry: Healthcare Technology / Artificial Intelligence
About the Role
We are looking for a hands-on Senior AI/ML Engineer to design, build and launch
production-grade AI solutions for healthcare and enterprise use cases.
The ideal candidate will have strong experience in Machine Learning, Generative
AI, Large Language Models, Small Language Models, Retrieval-Augmented
Generation and Agentic AI systems. You should be able to take a business
problem from discovery and solution design through development, deployment,
launch and continuous improvement.
This is not a research-only or proof-of-concept role. You will work closely with
Product Managers, Business Analysts, healthcare SMEs, architects and engineering
teams to build AI products that are scalable, secure, measurable and commercially
valuable.
Key Responsibilities
- Design, develop and deploy AI/ML and Generative AI solutions from concept
to production.
- Build applications using LLMs, SLMs, RAG, GraphRAG, AI agents, NLP and
machine-learning models.
- Develop agentic workflows involving tool calling, planning, memory, routing,
human-in-the-loop controls and multi-agent orchestration.
- Build and optimize retrieval pipelines using embeddings, semantic search,
hybrid search, vector databases, reranking and metadata filtering.
- Integrate AI solutions with enterprise platforms, databases, APIs, healthcare
systems and third-party applications.
- Evaluate and select the right approach across traditional ML, LLMs, SLMs,
prompt engineering, fine-tuning, RAG and deterministic workflows.
- Build evaluation frameworks to measure accuracy, groundedness,
hallucination, retrieval relevance, latency, safety and cost.
- Implement AI guardrails, structured outputs, confidence scoring, fallback
mechanisms and auditability.
- Create scalable APIs and microservices for AI-powered products.