Responsibilitie

About the Team We're building the AI-powered backbone of our developer tools. You'll work on three core systems: a retrieval infrastructure powering our AI products, a coding agent that assists users in writing code, and the evaluation frameworks that measure their effectiveness. Responsibilities Retrieval Systems (RAG Infrastructure) - Design and scale retrieval pipelines including vector search, BM25, and hybrid retrieval strategies - Build and optimize embedding pipelines, chunking strategies, and re-ranking systems - Develop query understanding and rewriting components to improve retrieval relevance - Manage vector database infrastructure at production scale Coding Agent Development - Build agent architectures that support multi-step code generation, refactoring, debugging, and diagnostics - Implement tool-use patterns (function calling, code execution sandboxing, file system interaction) - Develop context management strategies for long-form code understanding Evaluation & Benchmarking - Design and maintain evaluation frameworks for retrieval quality and agent task completion - Build custom benchmark suites for real-world coding task assessment - Create reproducible testing infrastructure with automated regression detection

Qualification

Minimum Qualifications - Bachelor's degree in CS, EE, or related field (or equivalent experience) - 4+ years of software engineering experience - Strong proficiency in Python (primary) and TypeScript/JavaScript - Experience with at least one systems-level language (C++, Rust, Go) - Practical experience integrating LLMs into applications (prompt engineering, context management, output parsing) - Understanding of agent patterns: tool use, multi-turn reasoning, error recovery - Familiarity with code-specific LLM tasks (generation, summarization, analysis) Preferred Qualifications - Master's or Ph.D. in Computer Science, Machine Learning, or related field - Contributions to open-source developer tooling, retrieval systems, or coding assistants - Experience with AST parsing, code analysis tools, or language servers - Familiarity with rendering pipelines or cross-platform framework architecture - Experience deploying and optimizing ML models in production (latency, cost, reliability)

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $218400 - $387600 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.