Overview
Senior AI/ML Engineer for applied AI, delivering hands-on technical leadership across the AI/ML and Generative AI lifecycle.
What you'll do
- Lead AI/ML lifecycle work from ideation and research through data engineering, model development, evaluation, tuning, and deployment.
- Iteratively develop, deploy, and scale AI/ML models and solutions for life sciences, genomics, material sciences, and healthcare.
- Implement evaluation frameworks to analyze performance and improve quality and reliability.
- Build and deploy LLM-powered services using Azure OpenAI, Anthropic Claude, and OpenAI-compatible APIs.
- Architect agentic AI and RAG workflows, including ingestion, chunking, embeddings, vector search, retrieval, tool calling, memory, and prompt engineering.
- Mentor engineers and contribute to engineering standards through Communities of Practice.
What you'll need
- 6+ years of industry experience shipping AI/ML into real production systems.
- 4+ years of experience working in agile/scrum environments.
- Hands-on experience with AI/ML techniques including deep learning and clustering/ensembles (as specified).
- Hands-on experience with RAG and agentic AI solutions including embeddings, vector search, tool calling, prompt engineering, orchestration, and evaluation.
- Strong proficiency in Python, PyTorch, C++, C#, and other relevant programming languages/frameworks.
- Expertise in backend engineering best practices for reliable, scalable systems.
- Experience with LangChain and LangGraph for LLM orchestration and agentic workflows.
Details
- Office job, Mon-Fri work schedule.
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.
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