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.
• Implement MLOps and LLMOps practices, including model and prompt
versioning, monitoring, tracing, CI/CD and production observability.
• Optimize model performance, token consumption, inference cost, response
time and infrastructure usage.
• Translate business requirements into technical solutions, architecture,
delivery plans and measurable outcomes.
• Participate in product discovery, customer discussions, technical
demonstrations and solution reviews.
• Mentor junior engineers and contribute to AI engineering standards and
reusable frameworks.
Required Skills and Experience
• 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
inception to production launch.
• Strong problem-solving, critical-thinking and stakeholder communication
skills.
Preferred Skills
• Experience in healthcare, life sciences, pharmaceuticals, payer, provider or
patient-support solutions.
• Understanding of healthcare workflows such as patient engagement, prior
authorization, benefits verification, clinical documentation, claims or
pharmacovigilance.
• Familiarity with FHIR, HL7, EHR/EMR integrations, HIPAA and PHI datahandling requirements.
• Experience with Small Language Models, model fine-tuning, quantization or
open-source model deployment.
• Experience with NVIDIA AI technologies, GPU inference or model
optimization.
• Experience with multimodal AI involving documents, voice, audio, images or
conversational interfaces.
• Experience working in a startup, product organization or customer-facing
solution engineering environment.
• Knowledge of responsible AI, model governance, bias management and
explainability.
What We Are Looking For
• A builder who can convert ambiguous problems into working AI products.
• A product-minded engineer who understands both technical feasibility and
business value.
• Someone who can challenge assumptions and recommend when AI
should—or should not—be used.
• A strong collaborator who can work effectively with Product, Business,
Engineering and healthcare teams.
• A practical problem solver who takes ownership from solution design
through production launch.
• Someone who continuously learns and adapts as AI technologies evolve.
Why Join Us?
• Build real-world healthcare AI products with measurable business impact.
• Work across LLMs, SLMs, RAG, Agentic AI, multimodal AI and intelligent
automation.
• Own solutions across the complete lifecycle—from discovery to launch.
• Influence AI architecture, product direction and engineering standards.
• Work in a fast-moving environment where your ideas and technical decisions
directly shape products.
Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine
Learning, Data Science, Engineering or a related discipline.
Equivalent hands-on experience with a strong record of delivering production AI
solutions will also be considered verbal and written communication skills