Mid Level AI Engineer

Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences.

This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies.

• →Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks.
• →Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.
• →Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems.
• →Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products.
• →Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions.

• 2–3 years of professional software; AI engineering experience.
• Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models.
• Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications.
• Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
• Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud.

• Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
• Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards.
• Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools.
• Experience deploying containerized applications using Docker and Kubernetes.
• Exposure to frontend technologies such as React, TypeScript, modern web frameworks, or contributions to open-source AI projects.

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-MB1

#LI-HYBRID