Mid Level AI Engineer

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.

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 Lang Chain, Lang Graph, CrewAI, Auto Gen, 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 Lang Smith, Langfuse, Arize, or similar tools.
• Experience deploying containerized applications using Docker and Kubernetes.
• Exposure to frontend technologies such as React, Type Script, modern web frameworks, or contributions to open‑source AI projects.

• Medical, Dental, and Vision coverage.
• 401(k) with company match.
• Maternity and paternity leave, plus dependent care support.
• Tuition reimbursement, wellness reimbursement, HSA and FSA options.
• Commuter benefits and access to the Working Advantage employee discount marketplace.