About the Company
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. We've restructured our own company around AI — tools, policies, roles, delivery models.
The Role
As an AI-Native Engineer, you will 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 will work directly with the CEO and client stakeholders.
Key Responsibilities
- Agentic AI Systems: Multi-step LLM workflows, RAG pipelines, and agent orchestration systems — owned from architecture to production.
- Full-Stack AI Applications: Client-facing web applications with AI embedded throughout — Python/FastAPI backends, React frontends, integrated with LLM providers (OpenAI, Anthropic, Gemini).
- Data Platform Engineering: Scalable pipelines and cloud infrastructure (AWS/GCP) that underpin AI features — vector databases, data ingestion layers, API integrations.
- Technical Discovery & Client Engagement: Translate business needs into AI-first technical proposals — in the room with CFOs, GPs, and operating partners.
- AI Quality & Internal Standards: Guardrails, automated testing, and observability for AI systems.
Why Join Us
- Frontier Work, Not Filler: You are designing AI systems that power investment decision-making and portfolio analytics for serious VC and PE firms.
- Real Autonomy: Once aligned on goals, you own delivery end-to-end. No process layers between you and the work.
- Senior Collaboration: You will work directly with the CEO and client stakeholders.
- Upside Tied to Output: Compensation is uncapped in the ways that matter — your impact on client outcomes directly shapes what you earn and how fast you grow here.
- Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc.
- Total Autonomy (Remote-First): No filler meetings, no Jira bloat, no micromanagement.
- Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions.
Requirements
- Must-have: Proven, hands-on experience shipping production AI/LLM systems used by real users.
- Must-have: Advanced proficiency in an AI-native coding workflow — Claude Code, Cursor, Codex, or alternatives as your primary development environment.
- 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.
