4491 - AI engineering Lead
Innovaccer5 hours ago
Noida, IndiaStaff+
Responsibilities
- Own the architecture, lifecycle, reliability, evaluation, deployment, cost, and latency profile of production agentic and RAG systems.
- Design orchestration patterns involving memory, tool routing, multi-agent coordination, failure handling, and human handoffs.
- Own retrieval pipelines, including chunking, embedding selection, vector stores, re-ranking, and relevance tuning.
- Manage LLMOps practices including model and prompt versioning, CI evaluation pipelines, tracing, token and cost dashboards, guardrails, and safety filters.
- Select, fine-tune, quantize, optimize, and serve SLMs and open models.
- Define and execute the quarterly roadmap and translate business problems into machine learning workflows.
- Work directly with business leaders and customers to understand workflow problems and build solutions.
- Partner with data platform and applications teams to integrate AI capabilities into products and workflows.
- Lead engineers, design reviews, coding standards, evaluation standards, and people development.
- Pursue published work or patents where appropriate, especially in healthcare AI.
Requirements
- 6+ years of experience in data science, applied machine learning, or AI engineering, including 2+ years building LLM-powered products.
- Deep NLP and GenAI experience; statistical and classical machine learning experience is preferred.
- Strong hands-on Python experience building scalable, performant enterprise applications and applying optimization techniques.
- Hands-on experience with PyTorch and/or HuggingFace Transformers.
- At least one shipped GenAI product with a complex production architecture involving multiple agents, memory, retrieval, and agent tracing.
- Working knowledge of PEFT fine-tuning methods, with LoRA and QLoRA preferred.
- Hands-on experience with Databricks, Azure ML, or SageMaker.
- Experience leading engineers formally or as a technical lead and owning others’ output.
- Ability to build production-grade RAG and LLM/SLM-powered features end to end.
- Experience with an orchestration framework such as LangGraph, LlamaIndex, or CrewAI.
- Ability to design and tune retrieval pipelines, implement prompt engineering and tool calling, and produce reliable structured outputs.
- Experience creating evaluation systems such as golden sets and LLM-as-judge evaluations.
- Experience containerizing and deploying services with Docker and REST/gRPC while considering latency, token cost, and guardrails.
- Strong written and spoken communication and a customer-focused approach.
- FastAPI or Django experience is preferred.
- Comfort with at least one hyperscaler cloud is preferred.
- A Master’s degree in Computer Science, Computer Engineering, or a related field is preferred.
- Healthcare experience and papers or patents, especially in healthcare AI, are preferred.
Benefits
- Leave benefits of up to 40 days.
- Parental leave, sabbatical leave, health insurance for employees and families, and other competitive benefits.
- Pet-friendly office at the Noida office and creche facilities at India offices.
- The Noida office follows a five-day work schedule.
Categories
About Innovaccer
Innovaccer is the AI infrastructure for autonomous healthcare operations, delivering better clinical and financial outcomes across health systems, payers, governments, and life sciences. Powered by the Healthcare Intelligence Platform, Innovaccer unifies enterprise data and applies AI to automate administrative work, strengthen operational performance, and drive measurable margin expansion. Organizations such as Orlando Health, Adventist HealthCare, and Banner Health trust Innovaccer to integrate intelligence into their existing infrastructure and elevate the quality of care. For more information, visit www.innovaccer.com.