Junior AI Engineer

Capco • Orlando, FL

2h • Hybrid

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).
• 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.

Nice To Haves

• Familiarity with modern web frameworks or front-end technologies is a plus.
• Internship or project experience involving AI or machine learning.
• 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

• We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees