Artificial Intelligence Engineer

Innovaccer
San Francisco
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Curiosity","Experimentation","Communication","Ownership","Analytical thinking"]

Build production-grade AI systems that solve complex problems at scale, partnering with product, engineering, and data teams. Develop LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows, moving from experimentation and evaluation to deployment and optimization. You’ll write real Python and PyTorch code, design experiments, measure model quality with rigorous evals, and communicate results clearly to clinical and operational stakeholders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Innovaccer
Innovaccer
1 day ago

Artificial Intelligence Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build production-grade AI systems that solve complex problems at scale, partnering with product, engineering, and data teams. Develop LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows, moving from experimentation and evaluation to deployment and optimization. You’ll write real Python and PyTorch code, design experiments, measure model quality with rigorous evals, and communicate results clearly to clinical and operational stakeholders.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy AI-powered applications including LLM solutions, AI agents, RAG, and intelligent automation workflows.
  • •Take ideas from experimentation and prototyping through production deployment and optimization.
  • •Build the model layer of a product, selecting model sizes, composing models into systems, and meeting product-level accuracy targets.
  • •Write production-quality code in Python and PyTorch and apply systems understanding to improve training performance.
  • •Evaluate model behavior using experiments and build robust metrics/evals to validate and improve output quality.

Pay and Benefits

Perks:Paid LeaveHealth InsuranceDentalVisionLife InsurancePet Insurance

Key Requirements

  • •MS or PhD in Computer Science, Machine Learning, or a related quantitative field (exceptional BS candidates may be considered).
  • •Demonstrated research or production impact, such as first-author publications (NeurIPS, ICML, ICLR, ACL, EMNLP) or meaningful open-source contributions.
  • •Experience fine-tuning open-weight models, including understanding parameter-efficient vs full fine-tuning and explaining your choices.
  • •Strong Python and PyTorch skills, with familiarity across the training/serving stack (HuggingFace, FSDP/DeepSpeed, vLLM/SGLang).
  • •Exposure to multi-GPU training (e.g., sharding strategy) and evidence you can deliver end-to-end work.
Experience:HealthcareOpen source
Education:Bachelor's in Computer Science, Machine Learning, or a related quantitative field
Skills:CuriosityExperimentationCommunicationOwnershipAnalytical thinking
Tech Stack:PythonPyTorchLLMRetrieval-augmented generation (RAG)HuggingFaceFSDPDeepSpeedVLLMSGLangMulti-GPUShardingAblation

Company Brief

Innovaccer
Provides a healthcare data activation platform that unifies clinical, claims, and operational data to enable analytics, care management, population health, and value-based care initiatives for providers, payers, and life sciences organizations.
Industry: HealthTech
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2014
WebsiteLinkedIn