Senior Software Engineer, AI Platform

Weedmaps

. Design, build and operate production AI agents, including an autonomous coding agent working from Jira and Slack .

Posted 10/5/2026full-timeRemote • United StatesSenior💰 $196,984 - $222,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating AI agents, with a strong focus on LLM-powered features, retrieval systems, and cloud platform integration. Proficient in software development practices, including code review, mentoring, and performance measurement.

Highest-signal resume keywords

LLM-Powered Features DevelopmentPython ProficiencyAWS Cloud Platform ExperienceRetrieval System BuildingProduction Services Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentPrompt DesignEmbeddingsSemantic SearchKnowledge-Graph ModelingTool/Function CallingStructured OutputsModel EvaluationA/B TestingCode Review

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

JiraSlackSnowflakeAWS BedrockCI/CDObservability Tooling

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

AI AgentsProduction ServicesModel FailuresLatency ReductionPrompt Injection Security

Tech Stack

Tools & technologies

AWSCloudPythonRubyTypeScript

About the role

Key responsibilities & impact

Design, build and operate production AI agents, including an autonomous coding agent working from Jira and Slack
Build the retrieval and context layer using embeddings, semantic search, knowledge-graph modeling, Snowflake semantic layer and internal documentation
Extend the internal MCP server with reusable skills, tools and processes
Help product teams integrate agents into their workflows
Build offline test sets and online metrics to evaluate prompts, models and retrieval changes, and gate releases
Reduce model cost and latency using routing, caching and structured outputs; track spend on AWS Bedrock
Secure agents against prompt injection, memory poisoning and over-broad permissions
Instrument agents with tracing and logging, diagnose failures, and participate in on-call
Evaluate and adopt effective models and tools
Write design documents, review code and mentor engineers on building with LLMs

Requirements

What you’ll need

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 with tool/function calling, prompt design, structured outputs, and handling model failures gracefully
Experience building retrieval systems, including embeddings, vector or hybrid search, chunking and ranking, and measuring retrieval quality
Strong proficiency in at least one of Python, TypeScript or Ruby, and comfort working across a polyglot codebase
Experience with a major cloud platform, AWS preferred, CI/CD, and observability tooling
Track record of measuring what you build through evals, A/B tests or clear before/after metrics

Benefits

Comp & perks

Medical, dental and vision coverage
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 with employer match up to 3.5% of employee contribution
Basic Life, Voluntary Life and AD&D Insurance options
Student Loan Repayment/529 Education Savings with a monthly company contribution
FSA (Medical, Dependent, Transit and Parking)
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
Competitive bonus