GenAI Engineer (Python, RAG, LLM)

CAPCO POLAND

We offer a flexible collaboration model based on a B2B contract.

At Capco Poland, we're not just another consultancy – we're the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management.

Engagement Overview

As a GenAI Developer, you will provide services related to the design, development, and deployment of scalable AI-powered applications using Large Language Models.

Collaborating with cross-functional Agile teams, you will deliver production-ready solutions integrated into enterprise environments, helping clients unlock value from Generative AI.

This engagement is well suited to professionals passionate about GenAI who enjoy combining strong backend and cloud expertise with modern AI capabilities.

What You’ll Do

Design, build, and deploy AI applications leveraging LLMs

Develop scalable solutions using GCP services (Vertex AI, BigQuery, Cloud Run / Functions)

Integrate LLM APIs (e.g. OpenAI, Vertex AI) into enterprise systems

Design and implement RAG architectures

Apply prompt engineering techniques to optimize model performance

Build and maintain REST APIs and microservices

Collaborate with cross-functional teams including data, backend, and business stakeholders

Deliver high-quality solutions in agile, client-facing environments

What We’re Looking For

3–6 years of experience in software development

Strong hands-on experience with Python

Experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Run / Functions)

Practical experience working with LLM APIs (OpenAI, Vertex AI, etc.)

Understanding of prompt engineering and RAG architectures

Experience building REST APIs and microservices

Strong communication skills and ability to work in a consulting environment

Nice to Have

Experience with LangChain or LlamaIndex

Knowledge of embeddings and vector search

Exposure to LLMOps / MLOps on GCP

Understanding of AI governance and security

Experience in banking or regulated environments

ONLINE RECRUITMENT PROCESS STEPS

1. Screening call with Recruiter

2. Technical Interview

3. Client Interview

4. Feedback / Offer