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Senior Full Stack Engineer - Agentic AI

arcus search • New York City Metropolitan Area
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Seeking a Senior Full Stack Engineer to build production-grade AI applications integrating LLMs into enterprise workflows. This role involves end-to-end ownership from architecture to deployment, with direct customer exposure. Requires 5+ years of experience, strong backend skills in Go/Python, and React/TypeScript proficiency.

Key Highlights
Build production-grade applications integrating LLMs into enterprise workflows.
Own technical decisions and shape engineering foundations of an early-stage AI startup.
Work across the full stack, from architecture and implementation to customer feedback.
Key Responsibilities
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.
Technical Skills Required
Go Python React TypeScript PostgreSQL
Benefits & Perks
$180,000–$280,000 base salary
Equity
Visa support
Nice to Have
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.

Job Description

Senior Full Stack Engineer – Agentic AI

San Francisco / New York | $180,000–$280,000 + Equity | On-site

I'm working with an early-stage AI startup building technology at the intersection of enterprise process intelligence and agentic AI.

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.

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