Senior Software Engineer, AI Platform (Remote)

Company shown to members 🔒 · Remote · US only

US only6+ years requiredPublished 5 October 2026Looks fresh

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
6+ years required
Where you can live
US only
Skills and tools
slack, jira, python, typescript, node.js, aws
Degree or licence
Mentioned (bachelor's)

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
6+ years required
Employer publication date
5 October 2026
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

Senior Software Engineer, AI Platform (Remote)

Overview

The company 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.

Bonus points

  • 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
  • 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

Why Work at the company?

Life at the company 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?

See how we’ve grown—our journey, leadership team, and what’s next at the company.com/corporate

About the company

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.”

Notice to prospective the company job applicants

Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating the company recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following:

  • Our recruiters will always communicate with candidates through an @ the company.com email address.
  • CORRECT: [link for members]
  • INCORRECT: [link for members]
  • Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for the company.
  • If you are interested in a role at the company, please apply through our established channels.
  • the company Careers Page or LinkedIn

If you are unsure if a communication is legitimate, please contact our recruitment team at [link for members] and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us!

The company 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 [link for members] .

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 the company.com if you would like to confidentially discuss a potential accommodation during the interview process.

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