AI Product Engineer

Capco•Washington DC, WA

1d•Onsite

About The Position

Capco is seeking an AI Product Engineer to design, develop, and deliver AI-powered products and solutions that transform business operations. The role combines product thinking, hands-on technical capabilities, and client engagement to identify opportunities for AI to streamline workflows, automate processes, and create business value. The engineer works with clients, business stakeholders, product managers, and engineering teams to understand business challenges, reimagine processes, shape product requirements, develop prototypes, and guide solutions from concept through implementation. The role emphasizes product innovation, problem-solving, and business outcomes over advanced software engineering, with working proficiency in Python and SQL required. The position is based in Capco’s McLean, Virginia office and requires on-site work five days per week. The posted U.S. pay range is $89,000–$107,000. Capco describes its consulting culture as collaborative, flat, and entrepreneurial, and highlights opportunities to deliver technology solutions for financial institutions and contribute to digital transformation across financial services and energy. The company offers a people-first benefits package, supports continuous learning, and emphasizes inclusion and individuality at work.

Requirements

2–3 years of relevant professional experience in AI product development, product management, business analysis, technology consulting, AI engineering, or a related field.
Hands-on experience with Generative AI technologies, Large Language Models, and platforms such as OpenAI, Anthropic, Gemini, Azure OpenAI, or comparable solutions.
Familiarity with prompt engineering, RAG, AI agents, and LLM-based applications.
Working proficiency in Python and SQL, including the ability to independently write scripts, manipulate data, interact with APIs, and develop lightweight prototypes or proof-of-concepts.
A product-focused approach, including the ability to understand business needs, analyze processes, define requirements, prioritize features, and identify opportunities for AI-enabled workflow improvements and intelligent automation.
Analytical, problem-solving, communication, and collaboration skills, including the ability to engage clients, explain technical concepts to non-technical stakeholders, and contribute across discovery, prototyping, testing, and deployment.
Willingness to work on-site five days per week in the McLean, VA office.

Nice To Haves

Experience in client-facing consulting environments, particularly in financial services, banking, or capital markets, including presenting AI demonstrations or product recommendations to stakeholders.
Exposure to AI product management, product roadmaps, Agile methodologies, backlog prioritization, user stories, and tools such as Jira or Confluence.
Experience developing AI prototypes or workflows using LangChain, LangGraph, CrewAI, Microsoft Copilot Studio, or comparable technologies.
Experience with low-code/no-code platforms such as Power Automate, n8n, or Zapier.
Familiarity with RAG architectures, vector databases, enterprise knowledge management, and cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with AI evaluation or responsible AI principles.
Experience with process mapping, business process optimization, digital transformation, workflow automation, and human-in-the-loop approaches.

Responsibilities

Partner with clients and business stakeholders to understand existing processes, identify inefficiencies, and redesign workflows using Generative AI, intelligent automation, and agentic solutions.
Identify, evaluate, and prioritize AI use cases according to business value, technical feasibility, user experience, and implementation complexity.
Translate AI opportunities into product requirements, user stories, and actionable development plans.
Design and prototype AI-powered products using LLMs, RAG, AI agents, Python, SQL, APIs, and modern AI tools to validate concepts and demonstrate business value.
Collaborate with AI engineers, developers, designers, and business teams throughout the product lifecycle.
Facilitate client workshops, gather requirements, test solutions, and support implementation.
Evaluate product performance, gather user feedback, and recommend improvements to usability, accuracy, efficiency, and business impact.
Stay informed about emerging AI technologies and capabilities.

Benefits

Medical, dental, and vision coverage.
401(k) matching.
Maternity and paternity leave.
Dependent care benefits.
Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).
Tuition reimbursement.
Wellness reimbursement.
Commuter benefits for eligible commuting expenses.
Access to Working Advantage, a discounted marketplace offering savings on products and services.
Continuous learning, training, and industry certifications.