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Capco

Mid Level AI Engineer

Capco is hiring a Mid Level AI Engineer. Level rates it ; you can apply on Capco.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include OpenAI, Anthropic and Gemini.
  • Level classifies it as a mid-level role.
  • Level lists 702 other open roles at Capco.

AI in this role

openaianthropicgeminilangchainlanggraphcrewaiautogensemantic-kernelazure-openaipineconeweaviateqdrant
ragai-agents

 

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.

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

  • 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.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

 

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

 

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How we rate this

Mid Level AI Engineer at Capco rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsOpenAIAnthropicGeminiLangChainLangGraphCrewAI

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of OpenAI that you've run into, and how did you work around them?
  4. What's a project where you used Anthropic hands-on?
  5. Walk me through how you've used Gemini in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, OpenAI, Anthropic, and Gemini. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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