Job Description
This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.
Company Overview
A San Francisco-based AI analytics company that helps enterprises turn company data into a trusted source of truth for analytics and artificial intelligence. Its platform uses a semantic model and governed context graph to help teams ask questions in natural language, refine analytical results, and bring trusted data into AI and collaboration tools.
Responsibilities
- Build and optimize an agentic AI analyst focused on helping users interact with and analyze company data.
- Tune agent behavior and improve the quality, reliability, and effectiveness of AI-driven workflows.
- Measure agent performance and develop capabilities that expand what the AI analyst can accomplish.
- Work across the technology stack to solve customer and product problems.
- Collaborate with experienced engineers and independently prioritize and solve technical challenges.
- Ship software quickly and iteratively while maintaining high standards for performance, reliability, and quality.
- Work effectively with AI and coding agents while applying sound engineering judgment about when to rely on them and when to use alternative approaches.
- Analyze data to identify opportunities for improving AI systems and product capabilities.
Qualifications
- Strong technical and communication skills.
- 3–10+ years of experience building production software.
- Proficiency in TypeScript or JavaScript.
- Strong strategic thinking and the ability to balance business and product objectives with development velocity and engineering excellence.
- Hands-on experience shipping Large Language Model (LLM) systems in production.
- Experience with one or more areas of LLM and agentic AI development, including agent harnesses, context management, retrieval, evaluation, or post-training.
- Experience performing data analysis.
- Ability to work independently while collaborating effectively with other engineers and cross-functional teams.
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