Mid Level AI Engineer
External
Capco · USPrepare for this interview
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About the role
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.
Responsibilities
- 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.
Requirements
- 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.
- Bonus Points For
- 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.
- Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions.
- Work in a collaborative, flat, and entrepreneurial consulting culture.
- Access continuous learning, training, and industry certifications.
- Be part of a team shaping the future of digital financial services.
- Help shape the future of digital transformation across FS & Energy.
Benefits
Additional Information
Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies.
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