AI Operations Engineer — Build Autonomous Agents

Coast; New York (NY); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

Flexible paid time off

Tools to help manage your financial wl

Paid parental leave

$400 accessories allowance

Education stipend

Free lunch every Friday

Job summary

Coast re-imagines the U.S. B2B card payments infrastructure for fleets and commercial drivers. We’re building an AI-native company and you will join as an AI Operations Engineer to ship autonomous agents and the foundation they rely on.

You’ll work across Sales, Customer Success, Marketing, Support, Finance, Risk, Product, and Operations. In six months you’ll ship multiple agents backed by evals showing improvements in efficiency and time saved.

Qualifications

• 2–5 years in operations, product, solutions or forward-deployed engineering, internal tools, or a similar role at a fast-moving company.
• A track record of shipping AI workflows or automations that people use every day.
• Hands-on fluency with Claude Code, Cursor or similar coding agents, plus LLM tooling such as prompt design, tool use and MCP.
• You've built at least one agent with persistent memory or a feedback loop that made it better over time.
• Experience with evals: building test sets, scoring outputs and using the results to improve an agent.
• Comfort writing and reading code: SQL, plus Python or TypeScript scripting, APIs and webhooks.
• Clear communication with non-technical teammates. You can teach as well as build.
• High agency: you spot inefficient processes and fix them without waiting to be asked.

Responsibilities

• Find and prioritize the work. Sit with teams, map their workflows, and size the time saved.
• Build autonomous agents. Ship event-driven agents that do multi-step work across our stack.
• Loop and orchestration: design agent loops, sub-agent handoffs, and when to act alone or elevate to a human.
• Memory and context: model shared memory as a knowledge graph, and decide what each agent sees, remembers and forgets.
• Custom tooling: build the tools our agents need.
• Traces and evals: trace every run, score outputs against test sets, and prove each version beats the last.
• Measure impact: define success metrics, track adoption and time saved, and report results to leadership.
• Run what you ship: own reliability, latency and cost in production, and catch regressions; partner with Security and IT on access and data handling.
• Enable the company: architect the shared foundation and train people on it; grow a network of AI champions.
• Stay on the cutting edge: try new models, measure them, and raise the bar.

Skills

Communication

Problem solving

Autonomy

Experience with AI workflows

Tools

Claude Code

Cursor

LLM tooling

Python

TypeScript

SQL

APIs

Job description

Coast re-imagines the U.S. B2B card payments infrastructure for fleets and commercial drivers. We’re building an AI-native company and you will join as an AI Operations Engineer to ship autonomous agents and the foundation they rely on.

You’ll work across Sales, Customer Success, Marketing, Support, Finance, Risk, Product, and Operations. In six months you’ll ship multiple agents backed by evals showing improvements in efficiency and time saved.