---
title: 'AI Developer at Techtorch'
canonical: 'https://feeny.ai/job/ai-developer-techtorch-poland-bcjs3abbxmf7'
type: 'job'
last_seen: '2026-09-09'
---

# AI Developer at Techtorch

- **Company:** Techtorch
- **Location:** Poland
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/techtorch/24926432-cdc0-4e58-acbd-dcce7d211794

## 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

## About Techtorch

## Company Overview
- **One-liner**: TechTorch is an AI-native operational execution partner that deploys production-ready agentic solutions to automate revenue workflows and drive EBITDA impact for Private Equity-backed companies.
- **Entity Type**: Private (Venture-backed)
- **Headquarters**: Woodside, California, United States
- **Founded**: 2021
- **Founders**: Miguel Vasconcelos (Co-Founder & Chief Product Officer) and Jordi (last name not publicly available)

## Core Business
- **Primary industry**: AI-Powered Enterprise Technology (ET) Solutions and IT Consulting
- **Target customers**: Private Equity-backed portfolio companies (B2B, Enterprise)
- **Mission statement**: To operationalize winning strategies in commercial excellence, enterprise data, and AI use cases to drive successful outcomes at unparalleled speed.

## Products & Services
- **Beacon Framework Library**: A production-tested library of ~80% ready operational accelerators for deploying AI-native revenue workflows across marketing, sales, deal desk, customer operations, and commercial data management.
- **Beacon Revenue Manager**: An agentic solution that uses AI agents to automatically detect invoice errors, pricing inconsistencies, missed discounts, and unbilled usage — reducing revenue leakage to 0%.
- **Beacon Quote Manager**: An agentic solution that generates accurate quotes instantly, delivering 90% faster quote creation with zero pricing errors.
- **Marketing Operations**: Agentic automation for campaign execution, lead routing, enrichment, and funnel operations.
- **Sales Operations**: Agentic automation for CRM workflows, forecasting, and seller operations (targeting 40%+ seller productivity).
- **Deal Desk**: Agentic acceleration of pricing, approvals, and quote-to-cash workflows.
- **Customer Operations**: Agentic automation for onboarding, renewals, and customer workflows (targeting earlier churn identification).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Venture Round raised in December 2022 from 1 investor (amount and lead investor not publicly disclosed)
- **Notable Investors/Partners**: The company has 150+ Private Equity-owned clients worldwide and operates in 14 countries. The company acquired AstuteForce on May 20, 2024.
- **Growth Signals**: Headcount grew 71.2% year-over-year (81 employees as of latest data). LinkedIn followers grew 162.9% year-over-year. The company operates in 14 countries including the US, Poland, Germany, UK, and Spain. They have a documented cadence of 4–8 week deployments.

## Competitive Advantages
- **Speed of Deployment**: Production-ready operational workflows deployed in 4–8 weeks, not quarters — a core differentiator from traditional consulting.
- **Operator DNA**: Team of 150+ former operators, consultants, and AI builders from Bain, McKinsey, Accenture, Meta, LinkedIn, Cisco, Nike, and leading AI startups.
- **EBITDA-Focused Outcomes**: Every deployment is tied directly to operational KPIs, revenue acceleration, and EBITDA improvement.
- **Reusable Playbooks**: Portfolio-scale execution with reusable playbooks and operational architectures designed for rapid deployment across portfolio companies.
- **~80% Ready Frameworks**: Pre-built accelerators that reduce deployment time significantly.

## Strategic Focus
- **AI-Native Revenue Operations**: Deep focus on automating the entire revenue engine (marketing, sales, deal desk, customer operations, commercial data) with agentic AI.
- **PE-Backed Company Growth**: Serving the specific needs of Private Equity portfolio companies, helping them achieve rapid operational improvements and EBITDA gains.
- **Rapid Deployment Model**: Continuously refining their 4–8 week deployment methodology to outpace traditional consulting models.
- **Talent Acquisition**: Aggressively hiring top AI and data engineering talent to scale their delivery capacity.

## Why Work Here
- **Culture & Values**: Described as a "bunch of non-conformist dreamers" who reject the traditional consulting model of "bloated teams, endless meetings, bureaucracy, excuses, and politics." The company values outcomes over time and resources, and emphasizes working hard and playing hard.
- **Work Environment**: Remote-first with hubs in Silicon Valley (Woodside, CA), Seattle, and Warsaw, Poland. The company also has offices in Kraków, Poland.
- **Pace & Impact**: Employees work on forward-deployed, PE-portfolio engagements that ship production AI in 4–8 weeks with end-to-end ownership. The pace is described as "production-first" with tight sprints and rapid decision-making.
- **Team Composition**: A mix of former top-tier consultants (Bain, McKinsey, Accenture) and Big Tech engineers (Meta, LinkedIn, Cisco, Nike), creating a blend of strategic and technical expertise.
- **Recent Job Postings**: Active roles include Full Stack AI + Data Engineer, Delivery Manager (CPQ / RevOps / Lead-to-Cash), AI Developer, AI Data Engineer, Data Architect, and Recruiter.
- **Key Insight for Candidates**: The consulting cadence brings tight deadlines, shifting scopes, and client-driven priorities — suitable for those who thrive on high autonomy and measurable impact.

## Sources
1. [techtorch.io](https://techtorch.io/)
2. [techtorch.io/about](https://techtorch.io/about)
3. [linkedin.com/company/techtorch](https://www.linkedin.com/company/techtorch)
4. [builtin.com/company/techtorch](https://builtin.com/company/techtorch)
5. [builtin.com/company/techtorch/faq/workplace-perception](https://builtin.com/company/techtorch/faq/workplace-perception)

## Other roles at Techtorch

- [Business Analyst](https://feeny.ai/job/business-analyst-techtorch-poland-sm344dx641ey) — Poland
- [Data Architect](https://feeny.ai/job/data-architect-techtorch-eu-jrcvezk2gt5k) — EU +, United Kingdom
- [Forward Deployed AI Engineer](https://feeny.ai/job/forward-deployed-ai-engineer-techtorch-eu-hkdq1k6ejn2b) — EU +, United Kingdom
- [Salesforce Architect](https://feeny.ai/job/salesforce-architect-techtorch-poland-r6fwe9g09fhb) — Poland
- [Senior Forward Deployed AI Engineer](https://feeny.ai/job/senior-forward-deployed-ai-engineer-techtorch-india-ybv9sa8gffep) — India
- [AI Architect/AI Subject Matter Expert](https://feeny.ai/job/ai-architect-ai-subject-matter-expert-techtorch-united-states-yz7tvk5x9hnb) — United States
- [Full Stack AI Engineer (Data)](https://feeny.ai/job/full-stack-ai-engineer-data-techtorch-united-states-wztmd3hjrd7h) — United States
- [AVP of Commercial Excellence](https://feeny.ai/job/avp-of-commercial-excellence-techtorch-india-tvcm6m79mwfs) — India
- [Azure DevOps Engineer](https://feeny.ai/job/azure-devops-engineer-techtorch-poland-vc42d7m1cq2g) — Poland
- [DevOps Multicloud](https://feeny.ai/job/devops-multicloud-techtorch-poland-t2eh38msp09c) — Poland