Qualification

Working proficiency in Python and SQLEffective analyticalWillingness to work hybridExposure to AI product managementFamiliarity with RAG architecturesExperience with process mappingWork in a collaborativeAccess continuous learning

Required

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, including 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. Advanced software engineering expertise is not required.
A product-focused approach with the 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, with the ability to engage clients, explain technical concepts to non-technical stakeholders, and contribute across discovery, prototyping, testing, and deployment.
Willingness to work hybrid, 3 days per week, in NY office.

Preferred

Experience in client-facing consulting environments, particularly within 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, including 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.
Deliver high-impact technology solutions for Tier 1 financial institutions.
Work in a collaborative, flat, and entrepreneurial consulting culture.
Access continuous learning, training, and industry certifications.

AI Product Engineer at Capco · LumiJobs

AI Product Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Capco

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