AI Developer

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

3+ 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