WealthArc

AI Engineer

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MidZdalnie·WarszawaFull-time

#468177·Dodano 7 dni temu·3

Źródło: WealthArc

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Tech Stack / Keywords

Python LLMRAGLangChain LangGraphLlamaIndexSemantic KernelAzure REST APIs MLflow

Podsumowanie oferty

You’ll build AI-powered services, data pipelines, and LLM applications for a next-generation WealthTech platform that turns fragmented financial data into AI-ready products. You’ll contribute to backend services and data infrastructure, including RAG solutions and AI agents.

Wymagania

4+ years of professional software engineering experience, with a strong background in backend, data, or machine learning engineering.
Experience in FinTech, WealthTech, banking, or financial data.
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 such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
Experience with prompt engineering, model evaluation, and testing AI applications.
Experience working with databases.
Understanding of modern data engineering concepts and ETL/data pipelines.
Experience working with cloud platforms, preferably Azure.
Knowledge of REST APIs and distributed systems.
Strong problem-solving skills and ability to work independently.
Very good English communication skills.

Nice to have:

Experience with MLOps, model monitoring, evaluation, and observability tools such as Langfuse or 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.

Obowiązki

Design, build, and maintain AI-powered services and backend applications.
Develop data pipelines to ingest, validate, normalize, enrich, and transform financial data from multiple sources.
Build and optimize LLM-based applications, AI agents, RAG solutions, and orchestration workflows.
Develop APIs and services that expose 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 scalable cloud-native architecture and backend services.
Write clean, maintainable, well-tested production code.
Participate in code reviews, architecture discussions, and continuous improvement initiatives.
Support deployment, monitoring, troubleshooting, and performance optimization of AI applications.
Evaluate new models, AI technologies, frameworks, and best practices.

Benefity

Access to private medical care (Medicover).
Multisport card.
Integration events, offsites, and regular team lunches.
Flexible working hours.

Opieka zdrowotna

Karta sportowa

Spotkania integracyjne

Elastyczne godziny

Inne informacje

Minimum office presence of 8 days per quarter, or more depending on team needs.

WealthArc

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