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Artificial Intelligence Engineer

Job in San Mateo, San Mateo County, California, 94409, USA
Listing for: Harnham
Full Time position
Listed on 2026-07-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 350000 USD Yearly USD 350000.00 YEAR
Job Description & How to Apply Below

Compensation: Up to $350,000 base salary + potential equity, depending on experience

Work Authorization: U.S. Citizens and Green Card holders only

We are partnering with a well-funded, innovative technology company building next-generation AI solutions for enterprise data and analytics. They are seeking an experienced AI/ML Engineer to help design and scale intelligent systems that power advanced AI agents, code generation, knowledge retrieval, and data transformation capabilities.

What You'll Do
  • Design and build production-grade AI agents and intelligent workflows.
  • Develop and optimize RAG architectures, vector search solutions, and knowledge systems.
  • Drive AI-powered code generation and data transformation capabilities.
  • Evaluate, fine-tune, and improve LLM performance, quality, and reliability.
  • Partner with engineering leadership to make key architectural and technology decisions.
  • Scale AI systems for production environments with a focus on performance, observability, and reliability.
What We're Looking For
  • 4+ years of software engineering experience with strong AI/ML expertise.
  • Hands‑on experience building and deploying AI applications, agents, or LLM-based systems in production.
  • Experience with RAG, vector databases, knowledge graphs, prompt engineering, model evaluation, and AI system design.
  • Background working with cloud-native technologies and distributed systems.
  • Experience with Databricks, Snowflake, Spark, Big Query, Neo4j, Kubernetes, AWS, Scala, or Go is a plus.

This is an opportunity to join a highly technical team where you'll have significant ownership, influence product direction, and solve complex AI challenges at scale.

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