AI Lead Engineer

Innovaccer Inc.

Dadri

On-site

INR 3,000,000 - 6,000,000

Full time

5 days ago

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Benefits offered by this job

Leave benefits

Parental leave

Sabbatical

Health insurance

Pet-friendly office (Noida)

Creche facility

Job summary

Innovaccer Inc. in Noida, India, is seeking a senior AI/ML engineering leader to own end-to-end AI systems—from framing with product and customers to deployment and cost-latency trade-offs.

You will design production agentic and RAG systems, manage retrieval pipelines, LLMops, and model strategy, and drive quarterly roadmaps while collaborating with business leaders and data teams to embed capabilities in products.

Qualifications

6+ years in data science, applied ML, or AI engineering with 2+ years building GenAI products.
Deep NLP and GenAI experience with production systems.
Hands-on with PyTorch and/or HuggingFace transformers.
Experience shipping GenAI products with complex architectures.
Fine-tuning using PEFT methods (LoRA/QLoRA).
Experience with ML platforms (Databricks, Azure ML, SageMaker).
Proven leadership of engineers and strong customer communication.

Responsibilities

Own end-to-end AI systems from problem framing to deployment and monitoring.
Design production agentic and RAG systems for real customer scale.
Manage retrieval quality, embeddings, vector stores, and re-ranking.
Lead LLMops: versioning, eval pipelines, observability, guardrails.
Make model strategy calls on LoRA/QLoRA, quantization, and hosting trade-offs.
Define quarterly roadmaps and translate business problems into ML workflows.
Collaborate with product, data, and customer teams to embed capabilities in products.
Set coding and evaluation standards and lead design reviews.

Skills

Senior AI/ML leadership

NLP & GenAI expertise

PyTorch / HuggingFace

LLM-powered product experience

PEFT fine-tuning (LoRA/QLoRA)

ML platform experience (Databricks/AZ/

Education

Master’s in Computer Science / related field

Tools

LangGraph

LlamaIndex

CrewAI

Job description

With every line of code, we accelerate our customers' success, turning complex challenges into innovative 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 and customers directly to understand where the workflow actually breaks, then build for that.
Partner with the data platform and applications teams so your capabilities land inside their products and workflows rather than beside them.
Set the coding and evaluation standards for your team, and lead design reviews.
Pursue published work or patents where the problem warrants it — particularly in healthcare AI.

A Day in the Life

Everything above sits on top of independent delivery. This role assumes you can already do the following without supervision:

Build production-grade RAG and LLM/SLM-powered features end to end with limited supervision.
Work fluently in at least one orchestration framework — LangGraph, LlamaIndex, CrewAI, or equivalent — to compose multi-step, tool-using flows.
Design retrieval pipelines and tune them for relevance: chunking, embeddings, vector stores, re-ranking.
Implement prompt engineering, function and tool calling, and reliable structured-output parsing.
Write and run evals — golden sets, LLM-as-judge — to measure quality and catch regressions before customers do.
Containerize and deploy services (Docker, REST/gRPC) with an eye on latency, token cost, and basic guardrails.
Document well and participate actively in code review.

What You Need

6+ years in data science, applied ML, or AI engineering, including 2+ years building LLM-powered products. Healthcare experience is a plus.
Deep NLP and GenAI experience. Statistical and classical machine learning is good to have on top of that.
Hands-on experience with deep learning frameworks: PyTorch and/or HuggingFace transformers.
At least one shipped GenAI product with a genuinely complex architecture — multiple agents, memory, retrieval, and agent OTEL/tracing in production.
Working command of modern fine-tuning: PEFT methods, with LoRA and QLoRA preferred.
Hands-on experience with at least one ML platform — Databricks, Azure ML, or SageMaker.
Experience leading engineers, formally or as a technical lead — you have owned other people’s output, not only your own.
Strong written and spoken communication, with a customer-focused instinct in both conversation and documentation.
Preferably a Master’s in Computer Science, Computer Engineering, or a related field.

Good to have

API frameworks for robust web applications — FastAPI or Django preferred.
Comfort with at least one hyperscaler cloud.
Papers or patents, especially in healthcare AI.

We offer competitive benefits to set you up for success in and outside of work.

Here’s What We Offer

Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days.
Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered.
Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury.
Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only
Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices

Where and how we work

Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.

Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.

Disclaimer

Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our Px department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

About Innovaccer

Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings, and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EPx-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com.