Vecten

Vecten specializes in developing proprietary data infrastructure and AI systems tailored for private capital and healthcare sectors, enabling organizations to transform fragmented information into a strategic competitive advantage.

Internet Software & Services

Information Technology

8 open positions

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AI-Native Engineer (Full-Stack / Agentic AI Engineer)

3 weeks ago

Poland

Full-time

Senior

AI Engineer

Software Development

Apache Airflow AWS dbt FastAPI GCP Microservices Python React Snowflake Terraform

Apply Now

Vecten

Internet Software & Services

View All Jobs 8

Description

Build agentic AI systems, including multi-step LLM workflows, RAG pipelines, and orchestration systems, from architecture through production.
Develop full-stack AI applications with Python/FastAPI backends, React frontends, and integrations with leading LLM providers.
Design scalable data pipelines and cloud infrastructure on AWS or GCP, including vector databases, ingestion layers, and API integrations.
Translate business needs into AI-first technical proposals during technical discovery with client stakeholders.
Engage directly with CFOs, GPs, and operating partners to align technical solutions with client objectives.
Define AI quality standards, including guardrails, automated testing, observability, and failure handling for production systems.
Take ownership of delivery end-to-end, from quick experiments and validation through reliable client-facing deployments.
Contribute to internal engineering practices and standards that improve delivery across engagements.

Requirements

Proven hands-on experience shipping production AI/LLM systems used by real users, not internal demos or hackathon projects.
Advanced proficiency in an AI-native coding workflow such as Claude Code, Cursor, Codex, or similar as the primary development environment.
Broad proficiency across the full stack, with expertise in at least one domain such as infrastructure, backend, data, or frontend.
Experience with Terraform, Python, Snowflake, and React is preferred.
Hands-on experience with LLM APIs, prompt engineering, RAG systems, and agentic frameworks such as LangChain, LangGraph, CrewAI, Agno, or equivalent.
Strong spoken and written English with the ability to explain technical trade-offs to both technical and non-technical stakeholders.
Ability to run AI initiatives with limited support, from discovery through 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 such as Snowflake, dbt, Airflow, and AWS data services is a strong plus.

Benefits

Fully paid licenses for AI tools such as Cursor and Claude Pro.
Remote-first setup with high autonomy and no micromanagement.
No filler meetings or Jira bloat; focus is on shipped production systems.
Direct access to the CEO, CTO, VPs, and VC/PE General Partners.
Opportunity to work on frontier AI systems that affect real investment decisions.
Strong knowledge-sharing culture and continuous growth environment.
Compensation with uncapped upside tied to impact and client outcomes.

Interested in this position?

Apply directly on the company website

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