full-stack engineer

ARCUS
New York, NY, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$180,000.0 - $280,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Python (Programming Language) PostgreSQL Operational Databases Software Engineering TypeScript Google Cloud ReactJS Large Language Models Backend
+5 more
Agentic-AI Front End Software Development Terraform Docker Golang

Job description

They’re now looking for a Senior Full Stack Engineer to play a key role in building the product, owning technical decisions and shaping the engineering foundations of the business.

The opportunity

You’ll work across the full stack, building production-grade applications that integrate LLMs into real enterprise workflows. This is an opportunity to join a small, ambitious engineering team where you’ll have meaningful ownership, direct customer exposure and the ability to influence product direction from an early stage.

You’ll be involved in everything from architecture and implementation to deployment, customer feedback and continuous iteration.

What you’ll be doing

  • Design, build and ship production features across the frontend, backend and AI integration layers.
  • Develop LLM-powered applications, including orchestration, tool calling, context management and multi-step workflows.
  • Build reliable backend services and APIs, working with Go, Python, PostgreSQL and modern frontend technologies.
  • Take ownership of projects end-to-end, making pragmatic technical decisions around architecture, scalability and delivery.
  • Work closely with customers to understand their challenges, gather feedback and improve the product based on real-world usage.
  • Help establish engineering practices and technical foundations as the company grows.

Requirements

  • 5+ years of software engineering experience, ideally with a strong full-stack background.
  • Experience building and shipping production applications that integrate LLMs or other AI capabilities.
  • Strong backend engineering skills in Go or another typed language, alongside Python experience.
  • Experience with React and TypeScript, plus PostgreSQL and production database operations.
  • An understanding of modern LLM development patterns, such as orchestration, tool calling, context management and evaluations.
  • Experience owning significant engineering projects and making decisions independently.
  • A pragmatic, product-minded approach, with the ability to balance engineering quality against delivery speed.
  • Strong communication skills and experience incorporating customer feedback into product development.

Bonus points

  • Experience with agentic AI, AI agents or multi-step automated workflows.
  • Previous experience at an early-stage startup or as a founding engineer.
  • A combination of experience in larger technology companies and high-autonomy environments.
  • Familiarity with Terraform, Docker, GCP or infrastructure as code.
  • Experience building enterprise SaaS products.

Benefits & conditions

  • $180,000-$280,000 base salary, depending on experience, plus equity.
  • The opportunity to join a venture-backed AI business at an early stage.
  • Significant ownership over product development, architecture and technical direction.
  • Direct exposure to enterprise customers and real-world AI implementation challenges.
  • A small, ambitious team where engineers can have a tangible impact on the company’s trajectory.
  • On-site working five days per week in San Francisco or New York.

Visa support is available for eligible candidates, including H-1B transfers, STEM OPT and TN visas.

Interested?

If you’re a full-stack engineer who enjoys building production AI products, solving complex engineering problems and taking ownership in an early-stage environment, I’d be keen to speak. xrbllit

About the company

Backed by leading venture capital investors, the company is developing a platform that helps some of the world’s largest organisations capture, understand and operationalise their internal processes through AI. The business is already working with enterprise customers and is looking to expand its engineering team as it scales.

Apply for this position

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