Remote AI Engineer: Build Production Agent Systems

Catalyst Wayfare; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Catalyst·Wayfare AI is an AI transformation firm that ships production AI systems for mid-market enterprises in regulated and technical domains. This role sits in a remote-first environment with occasional U.S. travel and overlap with US Eastern time.

You will engineer end-to-end capability agents, integrate with client tools, and ship working systems rather than demos. Collaborate with a tiger-team of senior engineers and own artifacts from development to production.

Qualifications

• 3–5 years of professional software engineering experience with Python.

Responsibilities

• Build individual capability agents end-to-end: prompts, tool integrations, retrieval, evals, monitoring.
• Build on production data foundations: RAG system with 11,000+ knowledge chunks and live telemetry.
• Implement integrations between orchestration layer and client engineering tools via APIs.
• Run iteration loops with senior engineers to ship, fail, and improve.
• Create evals and monitoring dashboards to verify agent effectiveness.
• Contribute to the orchestration engine (state, error handling, audit logging).
• Document what you build so the client team can extend it after handoff.

Skills

Python

LLM APIs

Agent systems

APIs

Retrieval

Cloud infra

Monitoring dashboards

Data integration

Tools

Cursor

OpenAI API

Anthropic

Neon

Sentry

Job description

Catalyst·Wayfare AI is an AI transformation firm that ships production AI systems for mid-market enterprises in regulated and technical domains. This role sits in a remote-first environment with occasional U.S. travel and overlap with US Eastern time.

You will engineer end-to-end capability agents, integrate with client tools, and ship working systems rather than demos. Collaborate with a tiger-team of senior engineers and own artifacts from development to production.