Artificial Intelligence Engineer/ AI Engineer

Key Responsibilities

Design and improve AI agent loops, tools, prompts, and workflows.

Build MCP integrations for browser, development, and database tools.

Develop guardrails, validators, linters, and safe execution policies.

Improve context management, compaction, checkpoints, and agent reliability.

Optimize Anthropic/OpenAI model routing for quality, cost, and latency.

Debug agent failures using Langfuse traces and production data.

Build golden datasets, automated tests, and evaluation pipelines.

Ship backend, frontend, and AI platform features end to end.

Must Have

2+ years in LLM/AI agents.

Strong TypeScript / Node.js and experience with Angular, React, or Vue.

Production experience with LLM-powered applications.

Hands-on experience with OpenAI/Anthropic APIs, tool calling, structured outputs, and streaming.

Experience with agent debugging, prompt/context engineering, testing, and evaluation.

Strong SQL, Git, API, and software engineering fundamentals.

Good to Have

MCP, Langfuse, OpenTelemetry, LangGraph, or Playwright.

Claude Code, Cursor, or similar AI coding tools.

Docker, CI/CD, Linux, Kubernetes, or cloud experience.

Laravel/PHP or AngularJS experience.

Open-source AI projects or technical portfolio.

Our Tech Stack

Node.js, TypeScript, Angular, Express, Vercel AI SDK, Anthropic, OpenAI, MCP, Playwright, PostgreSQL, Langfuse, OpenTelemetry, Docker.

The role, in one sentence

Make the coding agent reliably produce correct code, and build the measurement that proves it.