AI Product Engineer

Capco•New York, NY

1d•$93,000 - $112,000•Hybrid

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 work, and client engagement to identify ways AI can streamline workflows, automate processes, and create business value. The engineer will work with clients, business stakeholders, product managers, and engineering teams to understand business challenges, redesign processes, and turn opportunities into practical AI solutions. The role includes shaping product requirements, developing prototypes, and guiding solutions from concept through implementation. It emphasizes product innovation, problem-solving, and business outcomes, with working proficiency in Python and SQL rather than advanced software engineering. The position is based in New York, NY, and requires hybrid work with three days per week in the New York office. The role is permanent and full-time. The US pay range is $93,000–$112,000.

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, 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 proof-of-concepts.
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 hybrid, three days per week, in the New York 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, cloud platforms such as AWS, Azure, or Google Cloud, and 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 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 actionable development plans.
Design and prototype AI-powered products using LLMs, RAG, AI agents, Python, SQL, APIs, and modern AI tools.
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.