Mid Level AI EngineerLocation: 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.The RoleCapco 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.
What You'll Do- 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.
What We're Looking For- 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.
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.
