4491 - AI engineering Lead
Innovaccer Inc. (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 30–55 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end architecture, deployment, and lifecycle of agentic and retrieval AI systems serving real customer scale and reliability.
- Lead and grow a small engineering team with hands-on coding, code review, and quality ownership.
- Define and execute AI product roadmap, working closely with business leaders and customers to build integrated AI workflows into healthcare products.
Minimum Requirements
- 6+ years in data science, applied ML, or AI engineering with 2+ years building LLM-powered products.
- Strong hands-on Python experience building scalable enterprise applications.
- Experience with deep learning frameworks (PyTorch and/or HuggingFace transformers) and shipped GenAI product with complex architecture (multi-agent, memory, retrieval, production tracing).
- Experience leading engineers or technical teams; Master's degree in CS, Computer Engineering, or related field preferred.
Ideal Candidate Profile
- Expertise in applied NLP and Generative AI within production healthcare or data-heavy domains.
- Experience designing and optimizing retrieval-augmented generation (RAG) pipelines, multi-agent orchestration, and LLMOps.
- Demonstrated ability to translate ambiguous business/clinical problems into scalable AI workflows with measurable impact and to navigate engineering economics for build vs buy decisions.