Software engineer, agents

present of AI; New York (NY); On-site; USD 135,000 - 170,000; Full time

Job summary

Writer is seeking a full‑stack engineer to build and run the services behind AI agents that carry out multi-step tasks autonomously.

A strong candidate brings several years of production Python, hands-on experience with distributed systems and APIs, and familiarity with agent frameworks, vector stores, retrieval, cloud, containers, and monitoring to ensure production reliability.

Qualifications

• Several years of production Python experience.
• Hands-on with distributed systems and APIs.
• Familiar with agent frameworks, vector stores and retrieval.
• Comfort with cloud, containers and monitoring to ensure production reliability.

Responsibilities

• Build and run services behind AI agents that perform multi-step tasks autonomously.
• Ensure reliability, security and scalable architecture in production.
• Collaborate to translate vague use cases into sound systems.

Skills

Production Python

Agent frameworks

Distributed backend systems

Vector search and retrieval

Cloud & containers

Tools

Langraph

Vector databases

Cloud deployment tools

Job description

This role asks for a fullstack engineer who can build and run the services behind AI agents that carry out multi step tasks on their own. A strong candidate brings several years of production Python, hands on work with distributed systems and APIs, and real familiarity with agent frameworks, vector stores and retrieval. Comfort with cloud, containers and monitoring rounds it out, since the work has to stay reliable in production.

How it fits the AI era

The job sits squarely in the AI era: the product is agent systems, so the engineer builds the machinery that lets agents act, remember and coordinate. Much of the routine coding is sped up by agentic coding tools, which the posting expects to be used daily. What stays human is judgment about architecture, reliability, security and turning vague use cases into sound systems.

How it builds AI experience

Working here means gaining direct experience with agent orchestration, memory, retrieval and governance on enterprise data, which is hard to learn elsewhere. A candidate can build toward it by shipping small agent projects, trying frameworks like Langraph, and working with vector databases and cloud deployment. Open source contributions to agent toolkits would strengthen the case.

Worth showing

• Production Python
• Agent frameworks
• Distributed backend systems
• Vector search and retrieval
• Cloud and containers

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Writer

Writer is an enterprise AI platform for building and supervising AI agents grounded in company data, per the company.