- Capco
- Poland, 10
- 53 days ago
GenAI Engineer (Python, RAG, LLM).
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GenAI Engineer (Python, RAG, LLM): our view in 3 lines...
- The Role:This role is for a GenAI engineer building production-ready AI applications with large language models in financial services environments.
- The Person:The person will design, build, and deploy AI applications, integrate LLM APIs into enterprise systems, and implement RAG architectures, REST APIs, and microservices.
- Requirements:The ideal candidate has strong hands-on experience with Python, Google Cloud Platform, Vertex AI, BigQuery, Cloud Run or Functions, LLM APIs, prompt engineering, and RAG architectures.
About the role
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
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
