You will join a team turning language models into reliable, auditable features inside clinical and financial products. Your work covers retrieval, orchestration, fine-tuning and the evaluation needed to trust these systems in production.

What you ll do
Design and build RAG pipelines, including chunking, embeddings, vector search and re-ranking.
Develop agentic applications using frameworks such as LangChain, LangGraph or similar.
Fine-tune and evaluate models for domain-specific tasks.
Deploy and operate models on cloud platforms (for example Azure OpenAI, AWS Bedrock or Vertex AI).
Build evaluation, monitoring and guardrails so outputs stay accurate, protected and auditable.

What we re looking for




Two or more years building AI or ML applications in production.
Hands-on experience with RAG, agentic frameworks and model fine-tuning.
Experience with cloud-hosted model services and solid Python skills.
Nice to have: a solid ML foundation (classical modeling, feature engineering, model evaluation).

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Ai Engineer Mumbai
🏢 Rite Technologies
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