Software Engineer

TruNorth LTD

San Francisco (CA)

On-site

USD 180,000 - 250,000

Full time

26 hours ago
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Job summary

TruNorth LTD in San Francisco is hiring a Software Engineer to work on our AI agent platform. With 3–5 years of software engineering experience, you’ll own significant features and help shape the product.

You’ll contribute across the stack that builds, deploys, monitors and optimises AI agents and their enterprise deployments. TypeScript and cloud/container experience are a plus; you’ll thrive without waiting for detailed specs.

Qualifications

  • 3–5 years of software engineering experience.
  • Experience building AI agents in production.
  • Ability to own problems and drive product-minded solutions.

Responsibilities

  • Develop and maintain the platform that builds, deploys, monitors and optimises AI agents.
  • Own features end-to-end with minimal guidance and acceptance criteria.
  • Collaborate across teams to translate real-world agent behavior into reliable production systems.

Skills

Software engineering
AI agents production
Ownership
Product-minded
TypeScript
AWS/GCP
Containers/Kubernetes
Startup experience

Tools

AWS
GCP
Kubernetes
Containers

Job description

Software Engineer | AI Agents | San Francisco

$180k–$250k base + equity

I’m working with a client, an early-stage AI company building the platform that runs autonomous AI agents inside some of the world’s largest enterprises.

They’re looking for a Software Engineer with around 3–5 years of experience who wants considerably more ownership than you’d normally get at this stage of your career.

This isn't a role where you'll be handed a backlog of tickets.

You'll help decide what gets built.

You’ll work across their platform used to build, deploy, monitor and optimise their AI agents as well as building agent implementations that ultimately run inside enterprise environments.

The ideal background:
  • 3–5 years in software engineering
  • Genuine experience building AI agents in production
  • TypeScript experience would be particularly useful
  • AWS/GCP, containers, Kubernetes or production deployment experience
  • Comfortable owning problems without waiting for detailed requirements
  • Product-minded — able to think about what users actually need, not just how to implement it
  • Early-stage/startup experience is a big plus

You don't need experience with every part of their stack.

They're much more interested in engineers who understand how agents behave in the real world where they fail, how you make them reliable and how you operate them in production.

  • 5 days per week in the office
  • Meaningful early-stage equity

The team is still small, so the architecture decisions made by the next engineers could remain part of the core platform for years.

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