You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
about 1 month ago
Requirements and responsibilities
About TechTorchAt 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 overviewWe’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 doDesign and implement multi-step AI agents and orchestration workflows in PythonBuild using LangGraph, LangChain, n8n, AWS Bedrock, and similar toolsIntegrate 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 behaviorTake prototypes to production — with CI/CD, containers, and cloud deploymentBuild internal SDKs and reusable agent templates to speed up deliveryInstrument everything — logging, tracing, guardrails, evaluationWork directly with clients to capture requirements, run experiments, and iterate fastApply best practices for security, privacy, and safety in all deploymentsWhat you bring2+ years of hands-on experience building and shipping AI agents or complex automationsStrong 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 ecosystemsSolid data foundations: embeddings, RAG, chunking, indexingSoftware engineering fundamentals: Git, CI/CD, Docker, AWSBonus: TypeScript, FastAPI, Node.js, Supabase, or observability tools (Langfuse, W&B, OpenTelemetry)How you workYou own your outcomes — from idea to deploymentYou’re proactive, adaptable, and thrive in fast-changing environmentsYou like moving fast, but never at the cost of qualityYou communicate clearly and love solving problems collaborativelyOur ValuesClient 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 OfferWork on real, high-impact AI systems — not just demosExposure to Fortune 500 and private equity clientsRemote-first and flexible — we care about results, not hoursFast recruitment process — we move as quickly as you doCareer growth, certifications, and access to leading AI tech
Optionally, you can add more information later (benefits, pre-screening questions, etc.)