GenAI Engineer (Python,RAG,LLM)

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

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, and Cloud Run / Functions
• Integrate LLM APIs, such as OpenAI and 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, and Cloud Run / Functions
• Practical experience working with LLM APIs, including OpenAI and Vertex AI
• 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