AI-Native Engineer (Full-Stack / Agentic AI Engineer)
- Compensation
- Not disclosed
- Location
- Warsaw, Masovian Voivodeship, Poland
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- Must-have: Proven, hands-on experience shipping production AI/LLM systems used by real users — not an internal demo or hackathon project.
- Must-have: Advanced proficiency in an AI-native coding workflow — Claude Code, Cursor, Codex, or alternatives as your primary development environment, not a plugin you occasionally enable.
- Expertise in at least one domain with broad proficiency across the entire stack (infrastructure, backend, data, frontend). Preferred stack: Terraform, Python, Snowflake, React.
- Hands-on with LLM APIs, prompt engineering, RAG systems, and agentic frameworks (LangChain, LangGraph, CrewAI, Agno, or equivalent).
- Strong spoken and written English — you communicate complex technical trade-offs clearly to both engineers and non-technical stakeholders.
- Ability to run AI initiatives with limited support from our inhouse experts, from discovery to delivery, often across multiple client engagements in parallel.
- Experience in fintech, private capital (VC/PE), or healthcare data systems is a strong plus.
- Familiarity with data engineering stacks (Snowflake, dbt, Airflow, AWS data services) is a strong plus.
Full description
We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation.
Our clients manage a cumulative $1.2T+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it.
We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others.
Role: AI-Native Engineer (Full-Stack / Agentic AI Engineer)
Location: Remote / Hybrid (Warsaw)
Role Type: Individual Contributor / Hands-on Delivery
The Opportunity
Every VC firm is looking at the same data. Every PE operating partner is sitting on portfolio companies running manual processes that AI could automate tomorrow. The edge is no longer in having more data - it’s in building proprietary infrastructure that extracts signals faster than anyone else.
That’s what we build. And we need an engineer who builds it the same way we do: AI-first, production-grade, and with genuine ownership of outcomes — not demos.
Important note: You’ll be embedded in client projects at VC and PE firms, owning delivery end-to-end: from architecture conversations with a GP to agentic pipelines running in production. You’ll work directly with the CEO and client stakeholders — this is a small team making real decisions, not a layer of Jira tickets.
Your Mission (The “What”)
Your primary goal is to build AI-powered infrastructure that gives VC and PE clients a genuine edge — proprietary systems that extract signals, automate decisions, and compound in value over time.
Key Responsibilities:
- Agentic AI Systems: Multi-step LLM workflows, RAG pipelines, and agent orchestration systems — owned from architecture to production.
From quick experiments to full production deployments — you know when to move fast and validate, and when to engineer for scale. Real clients depend on these systems to make investment decisions.
- Full-Stack AI Applications: Client-facing web applications with AI embedded throughout — Python/FastAPI backends, React frontends, integrated with LLM providers (OpenAI, Anthropic, Gemini). Claude Code or Cursor is your primary environment. AI-assisted coding is your default mode, not a shortcut you reach for occasionally.