49 минут назад
Senior Software Engineer (AI Platform)
196 984 - 222 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI Platform) (LLM agents and retrieval): Building production AI agents, an internal MCP platform, and a knowledge layer integrating Snowflake, documentation, and knowledge graphs with an accent on reliability, evaluation, security, and scalable operations. Focus on designing autonomous coding workflows, improving retrieval quality, reducing model cost and latency, and protecting production systems from prompt injection and excessive permissions.
Location: Remote within the United States
Base pay: $196,984–$222,000 per year, plus a competitive bonus.
Company
is a global cannabis marketplace and technology company serving consumers and businesses in the United States and worldwide.
What you will do
- Design, build, and operate production AI agents, including an autonomous coding agent that works with Jira and Slack, opens pull requests, fixes CI failures, and responds to code review feedback.
- Build retrieval and context systems using embeddings, semantic search, knowledge graphs, Snowflake semantic layers, and internal documentation.
- Extend the internal Model Context Protocol server with reusable skills, tools, and workflows for product teams.
- Create offline evaluations and online metrics to measure prompts, models, retrieval quality, and agent performance.
- Reduce model cost and latency through routing, caching, structured outputs, and spend tracking on AWS Bedrock.
- Secure and operate agent systems through least-privilege access, auditable actions, human approvals, tracing, logging, and on-call support.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 6 years of professional software development experience, including end-to-end ownership of production services.
- At least 1 year of hands-on experience shipping LLM-powered features or agents to production.
- Experience with tool or function calling, prompt design, structured outputs, model failure handling, retrieval systems, embeddings, vector or hybrid search, chunking, ranking, and retrieval evaluation.
- Strong proficiency in Python, TypeScript, or Ruby, with experience working across a polyglot codebase.
- Experience with a major cloud platform, preferably AWS, as well as CI/CD, observability, and measurable evaluation practices.
Nice to have
- AWS Bedrock, MCP servers, agent tool frameworks, or model cost and latency optimization at scale.
- Knowledge graphs, semantic layers, Snowflake semantic views, dbt metrics, or graph databases.
- Developer workflow integrations with GitHub Actions, Jira, or Slack, including automated code review or code generation.
- LLM security experience, including prompt-injection defenses, sandboxing, permission models, or red-teaming.
- Experience with Ruby on Rails, Elixir, Node, large-scale entity matching, marketplaces, e-commerce, or regulated industries.
Culture & Benefits
- Full-time regular employees receive medical, dental, and vision coverage, with the employee medical premium fully covered.
- Benefits include HSA contributions, 401(k) matching up to 3.5% of employee contributions, life insurance, disability insurance, and FSA options.
- Paid time off, paid sick leave, company holidays, a 2026 holiday shutdown, and paid parental leave.
- Additional benefits include student loan or 529 contributions, pet insurance, identity theft protection, and legal access.
- Collaborative work focused on innovation, education, transparency, and the cannabis community.
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