AI Developer

Job description

**About TechTorch** At **TechTorch**, we’re building the future of intelligent work. Our mission is to help companies design, build, and deploy **AI agents that automate complex, real-world workflows** — delivering reliability, measurable ROI, and massive efficiency gains. Here, you won’t just be playing with prompts or running endless proofs of concept. You’ll **ship production-grade AI systems** that solve real problems across industries. You’ll join a **hands-on, fast-moving, ownership-driven** team that thrives on building quickly, iterating fast, and seeing results in days — not months. **Role overview** We’re looking for an **AI Developer** who can design, implement, and deploy **agentic systems** that actually work in production. If you’ve been **building AI agents for the last couple of years** and love the challenge of getting things done fast — this is your place. This is not a research role. It’s about **building, testing, and shipping real AI products** that deliver measurable business value. **What you’ll do** - 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 **What you bring** - **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 **Our Values** **Client First** — We focus relentlessly on delivering outcomes that create value for our clients. **We, Not Me** — We win together. Collaboration drives transformation at scale. **Get Stuff Done** — We execute with speed and precision — because in PE, time matters. **AI First** — We embed AI at the core, enabling scalable, high-leverage solutions. **Own It** — We take accountability for results, delivering on what we promise. **Agile mindset** — We adapt quickly and proactively seek better ways to move forward. **What We Offer** - Work on **real, high-impact AI systems** — not just demos - Exposure to **Fortune 500** and **private equity clients** - **Remote-first** and flexible — we care about results, not hours - Fast recruitment process — we move as quickly as you do - Career growth, certifications, and access to leading AI tech