Junior AI Engineer at Capco in US - Baltimore

Summary: Capco is a consulting firm focused on delivering high-impact technology solutions for Tier 1 financial institutions. They are seeking a Junior AI Engineer to join their Technology & Engineering practice, where the role involves building AI-powered applications and contributing to intelligent solutions for financial services. Responsibilities: - Support the design and development of applications leveraging foundation models (LLMs, multimodal AI) and intelligent automation capabilities - Experiment with generative AI techniques including RAG and prompt engineering under guidance to solve operational and business challenges - Contribute to building AI agents and workflows using frameworks such as LangChain or Semantic Kernel - Assist in developing full-stack applications and APIs integrating AI capabilities across front, middle, and back-office financial services operations - Collaborate in agile teams while contributing to testing, deployment, process reinvention initiatives, and feature reporting activities Required Qualifications: - Bachelor's degree in Computer Science, AI, Data Science, or equivalent practical training - Proficiency in Python and familiarity with at least one AI/ML framework (e.g., PyTorch, TensorFlow) - Foundational experience with generative AI, LLMs, and hands-on experience with RAG through academic, internship, or personal projects - Understanding of financial services operations across front, middle, or back-office functions, with the ability to identify opportunities for process improvement and support business analysis activities - Strong communication and collaboration skills with a proactive approach to learning, stakeholder engagement, and reporting on business and technical features Preferred Qualifications: - Experience with tools or frameworks such as LangChain, AutoGen, Semantic Kernel, or OpenAI APIs - Exposure to front-end or back-end technologies including React, JavaScript, Node.js, or FastAPI - Knowledge of vector databases, data pipelines, APIs, cloud concepts, Git, and CI/CD practices - Familiarity with deploying AI/ML workloads on AWS, Azure, or GCP - Internship or hands-on project experience within AI, machine learning, or financial services technology environments Required Skills: Python, PyTorch, TensorFlow, Generative AI, Large Language Models, Retrieval-Augmented Generation, Financial Services Operations, LangChain, Semantic Kernel, APIs, Full-Stack Development, Stakeholder Engagement Benefits: Medical, Dental, Vision coverage, 401(k) with employer match, Paid parental leave and dependent care support, Tuition and wellness reimbursement programs, Access to employee discount platforms, HSA/FSA, and commuter benefits