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Senior Data Scientist - AI​/ML Engineer

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Altimate AI
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Senior Data Scientist - AI/ML Engineer

Join Altimate AI as a Senior Data Scientist - AI/ML Engineer. Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI‑driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, Data Pilot, offers advanced data automation capabilities, while our new Data Mates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals.

Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.

Team

We are Silicon Valley veterans who previously created category‑defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely and are backed by prominent advisors and VC firms with multi‑billion dollar portfolios.

What we’re looking for?

We’re in search of a Senior Generative AI Engineer who brings deep expertise in building and deploying large language models and AI systems  ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide.

Professional Experience
  • 5+ years of hands‑on ML/AI experience with at least 1 year of hands‑on experience in GenAI/LLM projects
  • Track record of successfully deploying ML/AI systems in production environments
  • Experience working with enterprise customers and understanding their unique requirements
Technical Skills Required
  • Strong programming skills in Python, including expertise in the ML stack (Hugging Face, Num Py, Pandas, scikit‑learn)
  • Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
  • API development expertise (FastAPI) and production deployment experience
  • Proven experience with prompt engineering best practices and LLM evaluation metrics
Technical Skills Preferred
  • Infrastructure & Deployment
    • Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
    • Experience with observability and monitoring of LLM applications
    • Proficiency in model compression, distillation, and deployment at scale
  • Model Development & LLMs
    • Expertise in semantic search and embedding models
    • Experience in LLM frameworks (Lang Chain, Llama Index) and agentic AI systems
    • Advanced model fine‑tuning techniques, including LoRA, Prompt Tuning, and Adapter Training
Why you should join Altimate AI?

Opportunity to work on cutting‑edge AI technology, shape industry‑leading products, and leave a lasting impact on enterprise data operations. We offer a collaborative, intellectually stimulating environment and a chance to contribute to open‑source initiatives.

Projects You’ll Work On
  • Advanced AI Agent Architecture:
    Design and implement sophisticated multi‑agent systems that understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
  • Large‑Scale RAG Systems:
    Build and optimize retrieval‑augmented generation pipelines that efficiently process and utilize enterprise‑scale knowledge bases.
  • Model Optimization & Deployment:
    Implement techniques (LoRA, Prompt Tuning) to adapt off‑the‑shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
  • Scalable AI Infrastructure:
    Develop and optimize cloud‑native architectures (AWS, Kubernetes) for large‑scale training, inference, and multi‑agent orchestration.
  • Enterprise Security & Compliance:
    Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.
Impact
  • Innovation Leadership:
    Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI‑driven automation.
  • Product Development:
    Direct influence on our flagship products, Data Pilot and Data Mates, working on cutting‑edge…
Position Requirements
10+ Years work experience
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