[Hiring] Senior Software Engineer @Weedmaps

Role Description

Weedmaps is hiring a Senior Software Engineer to build the AI systems our company runs on: the agents that do real engineering and operational work, and the "AI brain" that gives them trustworthy context about our business. You will work on:

• An autonomous coding agent that picks up Jira tickets, opens pull requests, and responds to review feedback.
• A shared platform (an internal MCP server) that gives every agent common skills, tools, and processes.
• A knowledge layer that connects our Snowflake semantic layer, internal documentation, and a growing knowledge graph.

Success means agents that are measurably useful, cheap enough to run at scale, and safe to trust with production systems. This role sits on the AI Platform team and partners closely with Developer Experience, Data, and product engineering teams across the company.

The impact you'll make:

• Design, build, and operate production AI agents, including an autonomous coding agent that works from Jira and Slack.
• Build the retrieval and context layer behind our "AI brain": embeddings and semantic search, knowledge-graph modeling, and integration with our Snowflake semantic layer and internal docs.
• Extend our internal MCP server with shared skills, tools, and processes that other teams can reuse.
• Own evaluation: build offline test sets and online metrics to assess agent performance.
• Drive cost and latency down: route work to the cheapest model, use caching, and track spend per agent and per task on AWS Bedrock.
• Harden agents against prompt injection, memory poisoning, and over-broad permissions.
• Instrument agents with tracing and logging for quick diagnosis and fixes.
• Evaluate new models and tools with a practical eye.
• Write clear design docs, review code, and mentor other engineers.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Minimum of 6 years of professional software development experience, including owning production services end to end.
• At least 1 year of hands-on experience shipping LLM-powered features or agents to production.
• Experience building retrieval systems: embeddings, vector or hybrid search, chunking and ranking.
• Strong proficiency in at least one of Python, TypeScript, or Ruby.
• Experience with a major cloud platform (AWS preferred), CI/CD, and observability tooling.
• A track record of measuring what you build: evals, A/B tests, or clear before/after metrics.

Requirements

• AWS Bedrock, and experience managing model cost and latency at scale.
• Model Context Protocol (MCP) servers or other agent tool frameworks.
• Knowledge graphs or semantic layers.
• Agents that act on developer workflows: GitHub Actions, Jira, and Slack integrations.
• LLM security: prompt-injection defenses, sandboxing, permission models, and red-teaming.
• Entity matching or classification at large scale using ML combined with LLM reasoning.
• Experience with Ruby on Rails, Elixir, or Node.js services.
• Experience at a marketplace, e-commerce, or regulated-industry company.

Benefits

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life, and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit, and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave