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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** BRAINFORGE LLC - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cursor (Graphical User Interface Elements), Programming Tools, Language Modeling, Node.Js, Search Technologies, TypeScript, ReactJS, Large Language Models, Multi-Agent Systems, Backend - **Published:** July 18, 2026 - **Apply:** https://brainforge.ai/careers/ ## About the Role * 2+ years of relevant engineering experience including professional work, personal projects, etc. * Experience owning AI/LLM systems end-to-end in production - not just shipping a feature, but the full path from data and context to the user surface * Strength in at least two of: context/knowledge engineering, agent orchestration, evals & observability, backend/API, surface UX * Experience with inference and evaluation platforms * Experience with RAG, semantic search, vector stores, embeddings * Experience building features end-to-end with TypeScript, React.js, and Node.js * Ability to thrive in a fast-paced startup environment with evolving requirements and priorities * Comfortable using AI coding agents (e.g. Cursor, Copilot, Codex) in day-to-day development, and reviewing AI-generated code with the same rigor as human-written code-spotting bugs, security issues, and design debt before merge. Preferred technical background: * Agent frameworks & tooling: OpenCode, OpenClaw, Hermes Agent, OpenWork * Agent architecture: background agents, agent surface design * AI system design: context engineering / knowledge engineering, memory systems * Evaluation & observability: Arize, Braintrust * Developer tools for AI: Cursor, Codex * Skills & capability frameworks, harnesses for testing and iteration, * are first and foremost a builder. * love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase) * want to be at the cutting edge of building world-class products on top of language models * are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter) * value working with people who are kind, ambitious and pragmatic ## Description In this role, you'll engineer context (customer, company, content, code, and control data), design and ship agent surfaces, build evaluation and observability so things don't silently break in production, and proactively bring tooling and direction to the AI team. You'll be a founding-team member: client-facing one day, building agent harnesses the next., * Engineer the full AI stack end-to-end - from raw context (customer, company, content, code, control data) all the way to production agents users actually rely on * Design agent surfaces (chat, slash commands, side panels, background agents) and the backend, APIs, and integrations that make them useful - not just the LLM layer * Build and maintain evaluation frameworks, observability, and golden-question harnesses (Arize, Braintrust, or in-house) so regressions are caught before clients are * Sit in client conversations: scope discovery, push back on AI solutions that don't fit, and write SOW language we can actually deliver * Bring tooling, harnesses, and platform direction to the AI team proactively - don't wait to be told what to adopt * Review AI-generated code with the same rigor as human-written code, and compound learnings into reusable skills and playbooks the team can keep using ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)