Design, build, and deploy AI applications using LLMs and RAG architectures on Google Cloud Platform, integrating services like Vertex AI, BigQuery, and Cloud Run. You'll develop scalable REST APIs, work with LLM APIs including OpenAI, apply prompt engineering, and collaborate with cross-functional teams in client-facing consulting environments. Requires 3–6 years of software development experience, strong Python skills, and hands-on GCP expertise. Based in Poland, B2B contract with flexible collaboration.
Written from this posting by Neural Jobs AI. The full description is below.
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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