AI Data Engineer for FinTech Infrastructure & LLMs

WealthArc; Warszawa; Hybrid; PLN 240,000 - 360,000; Full time

Job summary

WealthArc is seeking an AI & Data Engineer to build production-ready AI and data solutions powering our WealthTech platform. You will join a small, high-performing engineering team responsible for developing AI capabilities and data infrastructure that support intelligent applications and autonomous systems.

You will work with Data, Product, Engineering teams across the US, Switzerland, Poland, and Singapore to translate business requirements into scalable technical solutions and design

Qualifications

• 3+ years of professional software engineering experience in backend, data, or ML engineering.
• Strong Python programming skills.
• Experience building production-grade backend applications and APIs.
• Hands-on experience with modern LLMs, AI agents, RAG architectures and orchestration frameworks (e.g. LangChain, LangGraph, LlamaIndex, Semantic Kernel).
• Experience with prompt engineering, model evaluation and testing AI applications.
• Experience with relational databases (PostgreSQL) and vector databases (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.

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.

Skills

Python

LLMs & AI

Backend development

APIs

Data pipelines

Azure cloud

Docker & Kubernetes

CI/CD

REST APIs

English communication

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

pgvector

Qdrant

Pinecone

Azure OpenAI

Job description

WealthArc is seeking an AI & Data Engineer to build production-ready AI and data solutions powering our WealthTech platform. You will join a small, high-performing engineering team responsible for developing AI capabilities and data infrastructure that support intelligent applications and autonomous systems.

You will work with Data, Product, Engineering teams across the US, Switzerland, Poland, and Singapore to translate business requirements into scalable technical solutions and design