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Capco

GenAI Engineer (Python, RAG, LLM)

Capco Poland

Financial Services · 5,001-10,000 employees

2 d ago
python Mid (2-5 yrs) Contractor Poland
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About the role

Design, build, and deploy scalable AI-powered applications using Large Language Models and RAG architectures. Integrate LLM APIs into enterprise systems and develop backend services using GCP and Python.

What they look for

Python RAG LLM Google Cloud Platform Vertex AI BigQuery Cloud Run Cloud Functions Prompt Engineering REST APIs Microservices LangChain LlamaIndex Vector Search LLMOps MLOps

Requirements

Requires 3-6 years of software development experience with strong proficiency in Python and Google Cloud Platform. Candidates should have practical experience with LLM APIs, prompt engineering, and building REST APIs.

Full description

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

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