About the role

Common Forge has been developing custom software for over 20 years. Today, we are on a mission to support construction & trade companies by leveraging advanced technologies to enhance their project planning and talent development processes.
We are hiring a senior engineer who ships product features end-to-end and brings genuine fluency with AI development tooling. The majority of your time will be building the features users see, while you will also spend time making our engineering team faster, more reliable, and more leveraged through AI-augmented workflows. If you have built with Claude Code, Cursor, Codex, etc. and can point to concrete output that proves it, let’s talk.
We are looking for a team member who has shipped LLM-based agents to customers in a B2B SaaS product. You code with AI assistants every day and know what a modern CI/CD pipeline looks like. Construction experience is a plus. This is not an ML research or model-training role.

What you’ll do

• Own features end to end: the React and Next.js front end, the TypeScript APIs, Postgres, and the deploy. Must have strong PR hygiene.
• Design, build and ship LLM agents and features in our product: tool calling over our APIs and data, multi-step workflows, retrieval and structured output.
• Build the evals, guardrails and logging that prove those features work, and keep the cost and latency of each model call in check.
• Turn vague problems from contractors (project managers, superintendents, foremen) into scoped features and talk to those users when it helps.
• Ship small, frequent releases through CI/CD: automated tests, a staging environment, container deploys on Google Cloud.
• Translate requirements into clean, tested, maintainable code with strong PR hygiene.
• Use AI coding assistants every day and share the workflows with the team.
• Work directly with product, other engineers, and occasionally customers. Bridge feature work and infra reliability. Review code thoughtfully and mentor where it helps.

Core requirements

• Background in B2B SaaS or product-led companies.
• 5+ years of full-stack development experience, with strong fluency in either TypeScript/Node or Python (ideally both) and a modern frontend framework (React, Next.js, or Angular).
• Hands-on agent work: tool or function calling, multi-step orchestration, retrieval, structured output, evals, guardrails, and managing cost and latency.
• Production-level use of AI coding tools (Claude Code, Cursor, Copilot, etc.). You have shipped LLM features to paying B2B customers.
• Hands-on experience with CI/CD, containerization (Docker), and at least one major cloud (GCP, AWS, or Azure). Solid grasp of DevOps fundamentals: IaC, monitoring, logging, alerting.
• Comfortable working in a fast-moving environment where priorities shift and you’re expected to own outcomes.
• Very strong written English (C1 or C2). We write things down.
• You work well as a peer on a team of senior engineers: you review their code, and they review yours.

Nice to have

• Prior startup experience where you were the only owner of an area.
• A background in construction, the trades or field services.
• Google Cloud, especially Cloud Run.
• Multi-tenant SaaS.
• Terraform and GitHub Actions.
• Public work that shows how you build with AI: open source, write-ups or talks.

Compensation and benefits

• Health: $150/month health and wellness stipend.
• Engagement: B2B contract. 30-day mutual notice.
• Fully remote. We are based in Denver, Colorado (MT, UTC-7). There must be significant overlap with US business hours.
• Async-first. Docs, Loom, and well-written PRs are the norm. Meetings happen when they’re the fastest path to clarity.
• Small team, direct access. No middle layer between you and the people making decisions. Your work ships fast.
• Latest tooling. We use the best AI tools available and expect you to do the same.

About the role

Common Forge has been developing custom software for over 20 years. Today, we are on a mission to support construction & trade companies by leveraging advanced technologies to enhance their project planning and talent development processes.
We are hiring a senior engineer who ships product features end-to-end and brings genuine fluency with AI development tooling. The majority of your time will be building the features users see, while you will also spend time making our engineering team faster, more reliable, and more leveraged through AI-augmented workflows. If you have built with Claude Code, Cursor, Codex, etc. and can point to concrete output that proves it, let’s talk.
We are looking for a team member who has shipped LLM-based agents to customers in a B2B SaaS product. You code with AI assistants every day and know what a modern CI/CD pipeline looks like. Construction experience is a plus. This is not an ML research or model-training role.

What you’ll do

• Own features end to end: the React and Next.js front end, the TypeScript APIs, Postgres, and the deploy. Must have strong PR hygiene.
• Design, build and ship LLM agents and features in our product: tool calling over our APIs and data, multi-step workflows, retrieval and structured output.
• Build the evals, guardrails and logging that prove those features work, and keep the cost and latency of each model call in check.
• Turn vague problems from contractors (project managers, superintendents, foremen) into scoped features and talk to those users when it helps.
• Ship small, frequent releases through CI/CD: automated tests, a staging environment, container deploys on Google Cloud.
• Translate requirements into clean, tested, maintainable code with strong PR hygiene.
• Use AI coding assistants every day and share the workflows with the team.
• Work directly with product, other engineers, and occasionally customers. Bridge feature work and infra reliability. Review code thoughtfully and mentor where it helps.

Core requirements

• Background in B2B SaaS or product-led companies.
• 5+ years of full-stack development experience, with strong fluency in either TypeScript/Node or Python (ideally both) and a modern frontend framework (React, Next.js, or Angular).
• Hands-on agent work: tool or function calling, multi-step orchestration, retrieval, structured output, evals, guardrails, and managing cost and latency.
• Production-level use of AI coding tools (Claude Code, Cursor, Copilot, etc.). You have shipped LLM features to paying B2B customers.
• Hands-on experience with CI/CD, containerization (Docker), and at least one major cloud (GCP, AWS, or Azure). Solid grasp of DevOps fundamentals: IaC, monitoring, logging, alerting.
• Comfortable working in a fast-moving environment where priorities shift and you’re expected to own outcomes.
• Very strong written English (C1 or C2). We write things down.
• You work well as a peer on a team of senior engineers: you review their code, and they review yours.

Nice to have

• Prior startup experience where you were the only owner of an area.
• A background in construction, the trades or field services.
• Google Cloud, especially Cloud Run.
• Multi-tenant SaaS.
• Terraform and GitHub Actions.
• Public work that shows how you build with AI: open source, write-ups or talks.

Compensation and benefits

• Health: $150/month health and wellness stipend.
• Engagement: B2B contract. 30-day mutual notice.
• Fully remote. We are based in Denver, Colorado (MT, UTC-7). There must be significant overlap with US business hours.
• Async-first. Docs, Loom, and well-written PRs are the norm. Meetings happen when they’re the fastest path to clarity.
• Small team, direct access. No middle layer between you and the people making decisions. Your work ships fast.
• Latest tooling. We use the best AI tools available and expect you to do the same.