GenAI Engineer (Python, RAG, LLM)

Навыки

• Agile
• AI-инструменты в работе
• B2B-продажи
• BigQuery
• Коммуникация
• Google Cloud
• LLM

О компании и продукте

• 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

Задачи

• 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
• 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
• CAPCO POLAND
• 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

Требования

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

Будет плюсом

• 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
• Screening call with Recruiter
• Technical Interview
• Client Interview
• Feedback / Offer

Условия

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

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