AI-Native Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI-Native Engineer (AI): Building production-grade AI-powered infrastructure and agentic systems for private capital and healthcare firms with an accent on multi-step LLM workflows and proprietary data systems. Focus on designing scalable full-stack AI applications, orchestrating agentic pipelines, and ensuring high-reliability deployments in client-facing environments.
Location: Remote or Hybrid (Warsaw, Poland).
Company
is an AI-native data and technology partner providing custom infrastructure and AI solutions for private equity, venture capital, and healthcare sectors.
What you will do
- Design and deploy agentic AI systems including multi-step LLM workflows and RAG pipelines.
- Develop full-stack AI applications using Python, FastAPI, and React with LLM integration.
- Build scalable cloud infrastructure and data pipelines on AWS or GCP.
- Translate complex business needs into AI-first technical proposals for senior client stakeholders.
- Define and implement engineering standards for AI quality, guardrails, and system observability.
- Manage end-to-end delivery of AI initiatives across multiple client engagements.
Requirements
- Proven experience shipping production-grade AI/LLM systems for real users.
- Advanced proficiency in AI-native development workflows (Cursor, Claude Code).
- Deep expertise in at least one domain (backend, data, or infra) with full-stack proficiency.
- Strong hands-on experience with LLM APIs, prompt engineering, and agentic frameworks (LangGraph, CrewAI).
- Fluent English for clear communication with non-technical stakeholders and GPs.
- Ability to drive complex initiatives independently from discovery to go-live.
Nice to have
- Professional experience in fintech, private capital, or healthcare data systems.
- Proficiency with data engineering stacks like Snowflake, dbt, Airflow, and AWS data services.
Culture & Benefits
- Remote-first environment with total autonomy and minimal administrative overhead.
- Direct collaboration with the CEO, CTO, and leadership at leading PE/VC firms.
- Access to an unrestricted AI software stack and premium developer tools.
- Focus on high-impact frontier engineering rather than repetitive chatbot development.
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