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WEALTHARC sp. z o.o.

AI Engineer

WEALTHARC sp. z o.o. Show all offers
18000 - 26000 PLN
B2B
Hybrid
Mid
Warszawa
Expires Oct 15, 2026
3 days ago

In short

AI Engineer (B2B, Full-Time) for WEALTHARC sp. z o.o. in Warsaw. Responsibilities include designing AI services, data pipelines, LLM apps, and APIs. Requires 3+ years of backend/ML experience, strong Python, LLM/RAG knowledge, and SQL/vector DBs.

Keywords

Python LLM RAG AI Backend Data Engineering APIs Cloud Docker Kubernetes

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Technologies we use

About the project

This is how we organize our work

This is how we work

Team members

Your responsibilities

  • Design, build, and maintain AI-powered services and backend applications.
  • Develop data pipelines for ingesting, validating, normalizing, enriching, and transforming financial data from multiple sources.
  • Build and optimize LLM-based applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions and orchestration workflows.
  • Develop APIs and services exposing AI-ready financial data objects.
  • Design prompt engineering strategies, model evaluation, benchmarking and observability.
  • Evaluate and optimize AI solutions for accuracy, reliability, latency, token usage and cost.
  • Collaborate with Product and Engineering teams to translate business requirements into scalable technical solutions.
  • Contribute to designing scalable cloud-native architecture and backend services.
  • Write clean, maintainable, and well-tested production code.
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives.
  • Support deployment, monitoring, troubleshooting, and performance optimization of AI applications.
  • Continuously evaluate new models, AI technologies, frameworks, and best practices.

Our requirements

  • 3+ years of professional software engineering experience, with strong background in backend, data or machine learning engineering.
  • Strong Python programming skills.
  • Experience building production-grade backend applications and APIs.
  • Hands-on experience building applications with modern LLMs, including AI agents, agentic workflows, RAG architectures and orchestration frameworks (e.g. LangChain, LangGraph, LlamaIndex, Semantic Kernel).
  • Experience with prompt engineering, model evaluation and testing AI applications
  • Experience working with relational databases (PostgreSQL) and vector databases (e.g. pgvector, Qdrant, Pinecone).
  • Understanding of modern data engineering concepts and ETL/data pipelines.
  • Experience working with cloud platforms (preferably Azure).
  • Familiarity with Docker, Kubernetes, Git, and CI/CD.
  • Knowledge of REST APIs and distributed systems.
  • Strong problem-solving skills and ability to work independently.
  • Very good English communication skills.

Optional

  • Experience in FinTech, WealthTech, banking, or financial data.
  • Experience with MLOps, model monitoring, evaluation, and observability tools (e.g. Langfuse, MLflow).
  • Knowledge of Azure AI, Azure OpenAI, Databricks, Microsoft Fabric, or similar technologies.
  • Experience with event-driven architectures and messaging systems.
  • Understanding of AI governance, security, privacy, and regulated environments.
  • Experience working in startups or building products from scratch.

What we offer

  • Mission before ego.
  • Builders over managers.
  • Small, elite teams.
  • Q-SOCS™ – Quality - Speed, Ownership, Challenge, Solutions
  • Speed over bureaucracy.
  • Ownership and accountability.
  • The best idea wins-not the highest title.
  • High-quality solutions delivered

What we're looking for?

Published 2026-09-15
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