Innovaccer is looking for a
AI Lead Engineer

Engineering at Innovaccer
With every line of code, we accelerate our customers' success, turning complex challenges into creative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world

About the Role
You own AI systems end to end — from problem framing with product and customer teams through architecture, evaluation, deployment, and the cost and latency profile they run at.

System ownership
• Architecture. Design production agentic and RAG systems that meet real customer scale and reliability requirements, not benchmark conditions.
• Orchestration depth. Apply agent design patterns with judgment — memory, tool routing, multi-agent coordination, and explicit failure handling — and decide deliberately where autonomy stops and a human takes over.
• Retrieval quality.



Own the retrieval pipeline as a first-class system: chunking strategy, embedding model selection, vector stores, re-ranking, and relevance tuning against measured outcomes.
• LLMOps lifecycle. Own model and prompt versioning, eval pipelines running in CI, observability (tracing, token and cost dashboards), and the guardrails and safety filters that ship with every release.
• Model strategy. Select, fine-tune, and serve SLMs and open models — LoRA and QLoRA, quantization, inference optimization, GPU and serving trade-offs.
• Engineering economics. Optimize latency, cost, and accuracy together, and make defensible build-versus-buy and model-selection calls you can explain to both engineers and executives.

Beyond the codebase
• Define and execute the quarterly roadmap for your area, and translate ambiguous business problems into machine learning problems with clear solution workflows.
• Work with business leaders an

📌 AI Lead Engineer (Noida)
🏢 Innovaccer
📍 Noida