Artificial Intelligence Engineer

Innovaccer Analytics; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Generous PTO

Parental Leave

Rewards & Recognition

Insurance Benefits

Job summary

Innovaccer is hiring an AI Engineer to design, develop, and deploy AI-powered applications at scale. You will work with product, engineering, and data teams to build LLM-based solutions, AI agents, RAG, and intelligent automation workflows.

The role emphasizes hands-on work across experimentation to production deployment, with a focus on system efficiency and product-level accuracy. You will communicate findings to clinicians and operators and contribute to a diverse, inclusive team.

Qualifications

• MS or PhD in Computer Science, Machine Learning, or related quantitative field; exceptional BS candidates considered.
• First-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; AI lab internship or shipped models.
• Fine-tuned an open-weight model yourself; can explain parameter-efficient vs full fine-tuning.
• Strong Python and PyTorch; familiarity with training/serving stacks like HuggingFace, FSDP/DeepSpeed, vLLM.
• Exposure to multi-GPU training; understands sharding strategies and their importance.
• Proven ability to finish projects and ship work.

Responsibilities

• Take ideas from paper to prototype to production and ship end-to-end AI features.
• Build the model layer of a real product, select model sizes, and meet product-level accuracy.
• Write real code in Python; optimize training speed and systems performance.
• Design experiments with hypotheses, ablations, and report results vs expectations.
• Measure and validate results; build evaluation before modeling.
• Explain work to non-AI clinicians and operators and incorporate feedback.

Skills

Python

PyTorch

LLM understanding

Experimentation

System performance

Education

MS or PhD in CS/ML

BS with strong research/open-source work

Tools

HuggingFace

DeepSpeed

vLLM

SGLang

FSDP

Job description

About the Role

We are looking for an AI Engineer to join our growing AI team and help build intelligent, production-grade AI systems that solve complex problems at scale.

In this role, you will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.

The ideal candidate is hands-on, highly curious, and comfortable working across the full AI development lifecycle—from experimentation and prototyping to production deployment and optimization.

A Day in the Life

• You take an idea from paper to prototype to production. If you have only ever done one of those three, this role will stretch you, and we are fine with that if the rest is strong.
• You can build the model layer of a real product, not just a model. That means choosing model sizes, composing several models into a working system, and holding a product-level accuracy bar.
• You write real code. Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow.
• You design experiments. You state the hypothesis, run the ablation, and report the result that disagrees with you.
• You measure things. You are suspicious of results that look good, and you build the eval before you build the model.
• You read current research and can tell the difference between a technique that will hold up and one that will not.
• You explain your work to people who are not AI engineers, including clinicians and operators who will tell you when your output is wrong.

What You Need

• MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with substantial research or open-source work will be considered.
• Depth beyond coursework: first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; a research internship at an AI lab; or models you trained and shipped that people actually used.
• You have fine-tuned an open-weight model yourself, understand the difference between parameter-efficient and full fine-tuning, and can explain why you chose one.
• Strong Python and PyTorch. Familiarity with the current training and serving stack (HuggingFace, FSDP or DeepSpeed, vLLM or SGLang, or equivalents).
• Some exposure to multi-GPU training, even at lab scale. You should know what a sharding strategy is and why it matters.
• Evidence you can finish things.

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

Here's What We Offer

• Generous PTO Benefits: Enjoy PTO benefit accrual of 20 days per year.
• Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
• Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance. Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
• Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.

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.

About Innovaccer

Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure- extending the human touch in healthcare. For more information, visit www.innovaccer.com.

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