Junior AI Engineer

CapcoOrlando, FL
71dHybrid

About The Position

As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As a Junior AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects.

Requirements

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or completion of an equivalent coding bootcamp or technical training program.
  • Strong understanding of Python and familiarity with at least one machine learning or AI framework (e.g., PyTorch, TensorFlow, Hugging Face).
  • Some experience (academic, personal projects, or internships) working with LLMs, generative AI, or related technologies.
  • Basic understanding of APIs, cloud computing concepts, and software development practices (Git, CI/CD).
  • Familiarity with modern web frameworks or front-end technologies is a plus.
  • Curiosity and enthusiasm for exploring emerging AI tools and frameworks such as LangChain or AutoGen.
  • Strong problem-solving skills, attention to detail, and willingness to learn new technologies quickly.
  • Excellent communication and collaboration skills, with a proactive and growth-oriented mindset.
  • Willingness to work in the Orlando (Maitland) office 3 days/week.

Nice To Haves

  • Internship or project experience involving AI or machine learning.
  • Exposure to cloud platforms (AWS, Azure, or GCP).
  • Understanding of data pipelines, vector databases, or RAG systems.
  • Experience using tools like GitHub Copilot, OpenAI API, or other AI SDKs.

Responsibilities

  • Assist in designing and developing applications that use foundation models (e.g., large language models, multimodal models) to solve real business problems.
  • Experiment with generative AI techniques such as Retrieval-Augmented Generation (RAG) and prompt engineering under the guidance of senior engineers.
  • Contribute to building simple AI agents and workflows using frameworks like LangChain, AutoGen, or Semantic Kernel.
  • Help develop and test Model Context Protocol (MCP) integrations that allow AI systems to access external data and tools.
  • Support the development of full-stack applications that integrate AI models and agentic systems.
  • Work with front-end technologies (e.g., React, JavaScript, HTML, CSS) and/or back-end frameworks (e.g., Python with Flask/FastAPI, Node.js).
  • Assist in building and testing RESTful APIs and microservices that expose AI functionalities.
  • Learn how to deploy and monitor AI/ML workloads on major cloud platforms (AWS, Azure, or GCP).
  • Participate in implementing MLOps and DevOps best practices for model deployment, monitoring, and version control.
  • Stay up to date with new advancements in generative AI and share findings with the team.
  • Collaborate closely with other engineers, data scientists, and product managers in an agile environment.
  • Take ownership of smaller projects or features, with mentorship and code reviews from experienced team members.

Benefits

  • Medical, dental, and vision insurance
  • 401(k) plan
  • Tuition reimbursement
  • Work culture focused on innovation and creation of lasting value for clients and employees

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Professional, Scientific, and Technical Services

Education Level

Bachelor's degree

Number of Employees

1,001-5,000 employees

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