Senior Software Engineer, AI Platform (Remote)

Weedmaps-

Austin (TX)

Remote

USD 180.000 - 222.000

Vollzeit

vor 39 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical, Dental & Vision
Company 401(k) with match
HSA contributions
Paid parental leave
PTO and holidays

Zusammenfassung

Weedmaps is seeking a Senior Software Engineer for the AI Platform, remote in the U.S. to build our AI agents and the brain behind them.

You will work on an autonomous coding agent that operates via Jira and Slack, handle embedding-based retrieval, and extend our MCP server with reusable skills and tools. You will own evaluation pipelines, optimize cost and latency on AWS Bedrock, and harden systems against prompt injections and permission issues while mentoring colleagues and shaping design

Qualifikationen

  • Bachelor's degree or equivalent practical experience.
  • 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 Python, TypeScript or Ruby, and comfort with a polyglot codebase.
  • Experience with a major cloud platform (AWS preferred), CI/CD, and observability tooling.

Aufgaben

  • Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opens PRs, fixes its own CI failures and applies review feedback.
  • Build the retrieval and context layer behind our AI brain: embeddings, semantic search and a knowledge-graph model integrated with Snowflake and internal docs.
  • Extend the MCP server with shared skills, tools and processes that other teams can reuse.
  • Own evaluation: build offline test sets and online metrics, gate releases on them.
  • Drive cost and latency down: route work to the cheapest model, use caching and structured outputs, track spend on AWS Bedrock.
  • Harden agents against prompt injection, memory poisoning and over-broad permissions with least-privilege access and auditable actions.
  • Instrument agents with tracing and logging and participate in on-call for the systems you own.
  • Evaluate new models and tools with a practical eye and share what works.
  • Write design docs, review code, and mentor other engineers on building with LLMs.

Kenntnisse

Python
TypeScript
Ruby
LLM/AI systems
Retrieval systems
AWS Bedrock
GitHub Actions
Observability tooling
Distributed systems

Ausbildung

Bachelor's degree or equivalent practical experience

Tools

Snowflake
GitHub
Jira
Slack
Kubernetes

Jobbeschreibung

Senior Software Engineer, AI Platform (Remote)

United States

Senior Software Engineer, AI Platform (Remote)

Overview:

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; and a knowledge layer that connects our Snowflake semantic layer, internal documentation and a growing knowledge graph so agents and people get consistent answers. 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, opens PRs, fixes its own CI failures and applies review feedback.
  • 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, so agents pull the right context in one pass instead of several.
  • Extend our internal MCP server with shared skills, tools and processes that other teams can reuse, and help product teams bring agents into their own workflows.
  • Own evaluation: build offline test sets and online metrics that show whether a change to a prompt, model or retrieval step made an agent better or worse, and gate releases on them.
  • Drive cost and latency down: route work to the cheapest model that can do it, use caching and structured outputs, and track spend per agent and per task on AWS Bedrock.
  • Harden agents against prompt injection, memory poisoning and over-broad permissions: least-privilege tool access, auditable actions, human approval where the risk warrants it.
  • Instrument agents with tracing and logging so failures can be diagnosed and fixed quickly, and take part in on-call for the systems you own.
  • Evaluate new models and tools with a practical eye, adopting what holds up and passing on what doesn't.
  • Write clear design docs, review code, and mentor other engineers on building with LLMs.

What you've accomplished:

  • 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 (not only prototypes): tool/function calling, prompt design, structured outputs, and handling model failures gracefully.
  • Experience building retrieval systems: 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.
  • A track record of measuring what you build: evals, A/B tests or clear before/after metrics.
  • 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 (for example, Snowflake semantic views, dbt metrics or graph databases).
  • Agents that act on developer workflows: GitHub Actions, Jira and Slack integrations, automated code review or code generation.
  • LLM security: prompt-injection defenses, sandboxing, permission models and red-teaming.
  • Entity matching or classification at large scale (millions of records) 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.

The base pay range for this position is $180,000.00 - $222,000.00 per year, and a competitive bonus

2026 US Benefits for Full Time, Regular Employees:

  • Physical Health (Medical, Dental & Vision)
  • 100% employer-paid premium for employees
  • 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
  • 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

Why Work at Weedmaps?

Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it.

You too can have a hand in shaping the industry’s future; ready to roll with us?

Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide.

“Freedom to choose. Freedom to access. Freedom to enjoy.”

Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify .

Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Weedmaps’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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