Software Engineer

TALENT & TALENT, LLC
New York, NY, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$200,000.0 - $240,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Database Design Software Debugging Distributed Systems Python (Programming Language) PostgreSQL Software Engineering Large Language Models Multi-Agent Systems Backend

Job description

You’ll join a team of experienced engineers who have built widely used open-source data tools, and you’ll own real parts of the platform from day one. This is hands-on work on an agent that writes, runs, debugs and tests code for enterprise customers.

Typical work includes:

  • Building the AI coding agent that generates, runs and debugs application code
  • Developing the agent’s memory layer so it learns each customer’s schema, APIs and systems
  • Working on sandboxing and code isolation so generated code runs safely
  • Designing backend services and data models behind the platform
  • Improving how the agent tests and QAs the apps it builds

Tech Stack

Python, LLM APIs, agent orchestration frameworks, PostgreSQL, distributed backend services, modern cloud infrastructure.

Requirements

  • 3+ years of software engineering experience
  • Hands-on experience building agentic AI systems or LLM applications in production
  • Strong backend engineering and database design skills in Python
  • Background xrbllit at a high-growth startup or infrastructure company is beneficial
  • Experience with security, sandboxing or distributed systems is a plus

Benefits & conditions

  • Work on the core AI agent at a well-funded company with serious enterprise customers
  • Join a small, senior team early, with real ownership over what you build
  • $200,000 to $240,000 base plus equity
  • H1B transfers, OPT and TN are supported

About the company

I’m working with a well-funded AI platform company in Manhattan, founded by early engineers from some of the best-known data infrastructure companies in the market. Large enterprises use their product to let non-engineers build production apps on their own company data, with IT keeping full control of access and audit.

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