Mid Level AI Engineer

Capco; Orlando (FL); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental, and Vision coverage

401(k) with company match

Tuition reimbursement

Commuter benefits

Job summary

Jobr.pro is seeking a Mid Level AI Engineer based in Orlando, FL to develop and deploy innovative AI-powered applications. In this hybrid role, you will work on cutting-edge technologies and collaborate with cross-functional teams, focusing on Large Language Models and retrieval-augmented generation.

Ideal candidates have 2-3 years of AI engineering experience, strong Python skills, and a solid understanding of modern AI frameworks. Benefits include medical coverage, a 401(k) plan, and tuition reimbursement.

Qualifications

• 2–3 years of professional experience in software and AI engineering.
• Hands-on experience with Generative AI and LLMs.
• Strong Python development skills.

Responsibilities

• Design, build, and deploy AI-powered applications.
• Develop RAG solutions using vector databases.
• Collaborate with teams to deliver production-ready AI solutions.

Skills

Generative AI technologies

Large Language Models (LLMs)

Python development

REST APIs

Vector databases

Tools

Docker

Kubernetes

Job description

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.

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.

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.