> Markdown version of [/jobs/ext/1309293-ai-developer](https://www.wearedevelopers.com/jobs/ext/1309293-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** TECHTORCH, INC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Software as a Service, Continuous Integration, Python (Programming Language), PostgreSQL, Node.Js, TypeScript, Data Logging, Grafana, Indexer, Git, Fastapi, Webhooks, GPT, Docker - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=02c99ca30965abe6 ## About the Role * 2+ years of hands-on experience building and shipping AI agents or complex automations * Strong Python skills (async, testing, packaging) * Experience with LangGraph or LangChain, plus orchestration tools (n8n, Bedrock, Airflow, Prefect, Temporal, etc.) * Familiarity with OpenAI, Gemini, Claude, or similar model ecosystems * Solid data foundations: embeddings, RAG, chunking, indexing * Software engineering fundamentals: Git, CI/CD, Docker, AWS * Bonus: TypeScript, FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry) How you work * You own your outcomes - from idea to deployment * You're proactive, adaptable, and thrive in fast-changing environments * You like moving fast, but never at the cost of quality * You communicate clearly and love solving problems collaboratively ## Description * Design and implement multi-step AI agents and orchestration workflows in Python * Build using LangGraph, LangChain, n8n, AWS Bedrock, and similar tools * Integrate and evaluate top models (Gemini, GPT, Claude, etc.) * Connect agents to real systems (APIs, SaaS apps, webhooks, queues, events) * Implement memory, retrieval, and planning for reliable agent behavior * Take prototypes to production - with CI/CD, containers, and cloud deployment * Build internal SDKs and reusable agent templates to speed up delivery * Instrument everything - logging, tracing, guardrails, evaluation * Work directly with clients to capture requirements, run experiments, and iterate fast * Apply best practices for security, privacy, and safety in all deployments ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)