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Antal International · Chennai, Tamil Nadu, India

AI Engineer – GenAI, LLM & RAG | Healthcare

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We're Hiring | Senior AI Engineer – GenAI | LLM | RAG | Healthcare

Are you an AI/ML Engineer who has moved beyond POCs and has experience building production-grade Generative AI and LLM solutions?

We're looking for an experienced Senior AI/ML Engineer to join the engineering team of a leading healthcare technology organization serving the US healthcare ecosystem.

📍 Location: Chennai / Bangalore / Hyderabad

💼 Experience: 5 – 8 Years

🏥 Domain: Healthcare / US Healthcare – Mandatory

What you'll work on

You will be part of a team building AI-driven solutions that automate complex healthcare workflows using Machine Learning, Deep Learning, Generative AI and LLM-based systems.

Your work will include:

- Designing and building production-grade LLM/GenAI solutions

- Developing end-to-end RAG pipelines including embeddings, retrieval and vector databases

- Working with LLMs, prompt engineering and model optimization

- Building AI/ML models using PyTorch / TensorFlow

- Deploying and operationalizing ML/GenAI solutions in production

- Working with cloud AI platforms and scalable ML infrastructure

- Designing solutions with appropriate evaluation, validation and guardrails

- Collaborating with engineering, data and business teams to solve real-world healthcare problems

What we're looking for

- 5–8 years of experience in AI/ML Engineering / Applied AI / Machine Learning

- Strong hands-on experience in Python, ML & Deep Learning

- Production experience with Generative AI / LLMs

- Strong hands-on experience with RAG and vector retrieval

- Experience with LangChain / LlamaIndex / LangGraph or equivalent

- Experience with PyTorch or TensorFlow

- Experience with MLOps / production deployment / model monitoring

- Experience with at least one major cloud platform – AWS / Azure / GCP

- Strong understanding of AI solution architecture and ML problem solving

- Healthcare / US Healthcare domain experience is mandatory

Good to have

- LLM fine-tuning – LoRA / QLoRA / PEFT

- Agentic AI / AI Agents

- LLM evaluation and observability – Ragas, DeepEval, LangSmith, etc.

- Healthcare claims / RCM / payer / provider experience

- HIPAA / PHI exposure

- Docker / Kubernetes / CI-CD

If you are interested in building production-grade AI solutions that solve meaningful healthcare problems, we'd love to hear from you.

📩 Interested candidates can share their updated CV at:

[email protected]

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