About this role
Designing, building, and deploying AI-powered applications utilizing Large Language Models, foundation models, and modern Generative AI frameworks forms the core daily routine. Capco seeks a Generative AI Engineer in Orlando to join the technology and engineering practice area, focusing on intelligent systems and scalable architecture. The position involves collaborating alongside software engineers, product managers, and AI specialists to create production-grade solutions that address complex business challenges. Candidates who thrive in this environment typically possess a background in software development combined with practical experience in modern machine learning tooling.
The team concentrates on developing Retrieval-Augmented Generation solutions and intelligent agent workflows capable of interacting with enterprise business systems. Professional growth happens within a collaborative consulting culture that delivers high-impact technology solutions for Tier 1 financial institutions and energy organizations. Individuals filling the role help shape the trajectory of digital transformation by turning abstract requirements into robust, deployable backend services.
What you will do
- Design and deploy production-ready applications powered by Large Language Models and modern Generative AI frameworks.
- Develop and optimize Retrieval-Augmented Generation workflows utilizing vector databases and enterprise knowledge repositories.
- Build intelligent agents capable of interacting with external APIs, tools, and business systems.
- Construct scalable REST APIs, microservices, and cloud-native backend architectures to support AI products.
- Collaborate directly with cross-functional teams to translate business requirements into working software.
What you need
- Bring two to three years of professional software or AI engineering experience.
- Demonstrate hands-on history building applications with Large Language Models and leading providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source alternatives.
- Apply strong Python development skills to build REST APIs, microservices, and scalable backend applications.
- Implement practical Retrieval-Augmented Generation architectures using vector databases like Pinecone, Weaviate, Chroma, Qdrant, or FAISS.
- Maintain an understanding of software engineering best practices including Git, continuous integration, testing, code reviews, and cloud platforms.
Nice to have
- Experience building multi-agent AI systems using LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
- Familiarity with Model Context Protocol and emerging agent interoperability standards.
- Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, or Arize.
- Experience deploying containerized applications using Docker and Kubernetes.
- Exposure to frontend technologies like React and TypeScript, or contributions to open-source AI projects.
Benefits
- 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.
Skills and tech stack
Questions candidates ask
Where is the role located?
The position is based in Orlando, Florida, with a hybrid work structure. Employees work within a collaborative consulting culture focused on digital financial services.
What technologies will I work with?
The tech stack centers on Python, Large Language Models, vector databases such as Pinecone and Weaviate, and cloud platforms like AWS, Azure, or Google Cloud. Optional exposure includes agent frameworks like LangChain and containerization tools like Docker.
What kind of experience is required?
Candidates need two to three years of professional software or AI engineering experience. Must-have skills include Python development, REST APIs, and practical RAG implementation.