Description

Design and maintain AI integrations, including Model Context Protocol servers, RAG pipelines, and APIs to connect corporate data with AI models and agent frameworks.

This role is on-site.

Responsibilities

• Build and maintain Model Context Protocol (MCP) servers and integrations connecting internal systems to AI models.
• Develop and integrate LLM-based solutions, including RAG pipelines and prompt orchestration layers, into corporate applications.
• Design and implement AI-ready data pipelines for cleaning, transformation, and preparation of corporate data.
• Build and maintain REST and GraphQL APIs to expose data and AI capabilities as reusable services.
• Ensure all AI solutions comply with data governance, security, and responsible AI standards.

Required Skills

• 5+ years of experience in software engineering or AI integration.
• Strong proficiency in building REST and GraphQL APIs.
• Hands-on experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) pipelines.
• Experience with Model Context Protocol (MCP) or similar integration frameworks.
• Bachelor's degree in Computer Science or related field.
• Ability to translate business requirements into technical AI solutions.
• Experience with data-as-a-service (DaaS) offerings.

Preferred Skills

• Experience with AI agent frameworks and prompt orchestration.
• Knowledge of data governance and security standards for AI.
• Familiarity with emerging AI engineering practices and tools.

Key Skills

Education

Bachelor's degree