2 months ago
Remote, United StatesSenior
Base Salary
$187k - $235k/yr
Responsibilities
- Design, build, deploy, and operate production AI features such as RAG pipelines, LLM recommendations, conversational agents, and agentic workflow automation.
- Build shared AI platform infrastructure for retrieval, evaluations, model monitoring, guardrails, and observability.
- Develop LLM applications and integrations for marketing platforms, BI tools, and customer-facing products.
- Evaluate and improve model and feature quality through structured evaluations, prompt iteration, retrieval strategies, and model selection.
- Use AI-assisted SDLC tools daily while delivering AI and non-AI production software.
- Coordinate GenAI features with existing ML personalization signals.
- Document architecture decisions, evaluation results, and operational lessons.
- Own AI-system observability for latency, cost, quality drift, and error rates; participate in on-call and production incident response.
Requirements
- At least 10 years of software engineering experience.
- Bachelor’s degree in Computer Science or a related field preferred, or equivalent education and work experience.
- Hands-on experience shipping production code with AI-assisted tools such as Claude Code, GitHub Copilot, or Cursor.
- Python proficiency and experience building and operating production LLM applications.
- Experience with at least one of RAG and retrieval systems, LLM evaluation, agentic frameworks, or LLM-based workflow automation.
- Understanding of prompt engineering, context-window management, and LLM output-quality tradeoffs.
- Familiarity with vector databases, embedding models, or semantic search.
- Ability to contribute across the full stack, own features through deployment and on-call, make technical decisions autonomously, and mentor junior engineers.
- Strong software design, automated testing, code review, and CI/CD fundamentals.
- Preferred: exposure to MLOps or model deployment pipelines, developer tooling or SDLC improvements, e-commerce or high-traffic consumer applications, distributed teams, and architectural documentation or RFCs.
- Experience with Microsoft Office Suite; Google Business Suite experience is preferred.
Benefits
- Office/warehouse work environment with a professional, casual, hectic, fast-paced setting and possible extended hours.
- The role includes participation in an on-call rotation and production incident response.
- Expected base salary range is $187,000.00–$235,000.00 USD.
Tech Stack
Categories
