AI Product Engineer

Capco•Washington, DC

1d•$89,000 - $107,000•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 skills, 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, and turn opportunities into practical AI solutions. The role helps shape product requirements, develop prototypes, and guide solutions from concept through implementation. It emphasizes product innovation, problem-solving, and business outcomes, with working proficiency in Python and SQL rather than advanced traditional software engineering. The role is based in Capco’s McLean, Virginia office and requires on-site work five days per week. The listed pay range is $89,000–$107,000 USD.

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 and LLMs, 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 independently writing scripts, manipulating data, interacting with APIs, and developing lightweight prototypes or proofs of concept.
Ability to understand business needs, analyze processes, define requirements, prioritize features, and identify opportunities for AI-enabled workflow improvements and intelligent automation.
Effective analytical, problem-solving, communication, and collaboration skills.
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, Virginia 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, 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, AWS, Azure, Google Cloud, AI evaluation, or responsible AI principles.
Experience with process mapping, business process optimization, digital transformation, workflow automation, or 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 based on business value, technical feasibility, user experience, and implementation complexity; translate opportunities into product requirements, user stories, and 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.