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Offer summary

(Summary generated by AI based on the full job description)

The project focuses on building a global AI data infrastructure for finance and producing AI-ready data products for a WealthTech platform. Core technologies include Python, LLM and agent frameworks like LangChain, LangGraph, LlamaIndex, vector databases such as pgvector, Qdrant, Pinecone, plus PostgreSQL, Docker, Kubernetes and cloud (preferred Azure). Responsibilities cover designing and building AI services and backends, developing and optimizing ETL pipelines for financial data, implementing RAG and AI agents, designing APIs for AI-ready data, prompt engineering, model evaluation, deployments, monitoring and cost/latency optimization, and collaborating with product and engineering teams.

new

AI Engineer

Company: WEALTHARC sp. z o.o.

from: 15 September 2026
to: 15 October 2026
18 000 - 26 000 złnet (+ VAT)/ mth.B2B contract (full-time)
18 000 - 26 000 złgross/ mth.contract of mandate
Salary details
basic salary
Offer parameters
level:mid
working mode:hybrid
Warszawa, Śródmieście
Warszawa, ŚródmieścieKrakowskie Przedmieście 13View on map

Requirements

Expected technologies

Python
PostgreSQL
Docker
Kubernetes
Git
LangChain
LangGraph
Azure DevOps
LLM
RAG

Optional technologies

Databricks

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.

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.

About the project

Build the global AI data infrastructure that powers the future of finance!
We are looking for an AI & Data Engineer who is passionate about building production-ready AI and data solutions from the ground up. You'll join a small, high-performing engineering team responsible for developing the AI capabilities and data infrastructure that power our next-generation WealthTech platform.
This isn't about building another chatbot. You'll help create the technology that transforms fragmented financial data into trusted, AI-ready data products used by intelligent applications and autonomous systems.
You'll work closely with the Data, Product, Engineering, and cross-functional teams across the US, Switzerland, Poland, and Singapore.

This is how we organize our work

This is how we work

in housescrum

Team members

backend developer

What we're looking for?

We are looking for someone who enjoys building software, solving complex engineering problems, and taking ownership.
Company

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

Recruitment stages

  • 1.
    Recruitment Interview

WEALTHARC sp. z o.o.

WealthArc is one of the fastest-growing WealthTech platforms for independent asset managers in Switzerland. Built on modern cloud technologies, we provide a fully SaaS-based solution designed to simplify and centralize wealth management operations. Our mission is to become the future data hub for the wealth management and private banking and fintech industry.
AI Engineer
18k–26k zł / mth. (CoM), 18k–26k zł / mth. (B2B)
I apply to:
WEALTHARC sp. z o.o.
Warszawa, Śródmieście
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