AI Product Engineer
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Job Description
AI Product Engineer developing trusted, production-ready AI capabilities for Green Mountain Technology, a parcel logistics management and advisory firm. Leading generative AI products, analytics experiences, and decision-support solutions.
Responsibilities:
- Lead the design, development, and operationalization of AI-enabled product capabilities, including conversational analytics, intelligent workflow automation, Data Agents, and AI-assisted decision support experiences
- Partner with Product, Architecture, Analytics, Engineering, Operations, and Customer Success teams to translate customer and business challenges into production AI solutions
- Define AI product requirements, solution patterns, success metrics, release readiness criteria, and adoption measures aligned with GMT's technology roadmap
- Develop reusable AI engineering patterns for prompt engineering, retrieval-augmented generation, agentic workflows, model evaluation, monitoring, observability, and secure integrations
- Establish quality, governance, security, and responsible AI practices
- Collaborate with internal engineering teams and external partners to deliver secure, explainable, and supportable AI products
- Drive customer self-service and time-to-insight improvements through natural language experiences and AI-enabled analytics
- Evaluate emerging AI technologies and recommend practical adoption paths
- Define product impact measurements including adoption, usage, trust, productivity improvements, and value realization
- Provide technical mentoring and leadership to engineers working on AI-enabled products and platform capabilities
Requirements:
- 5+ years of software engineering experience designing and delivering enterprise applications
- Experience developing and deploying AI-powered applications into production environments
- Hands-on experience with generative AI technologies, including Azure OpenAI and related AI platforms
- Strong knowledge of enterprise software architecture, API-first design, cloud-native solutions, security, privacy, model evaluation, and responsible AI principles
- Experience with Azure OpenAI, Azure AI Foundry, retrieval-augmented generation (RAG), prompt engineering, embeddings, vector stores, and AI orchestration patterns
- Development experience with Python and/or .NET
- Ability to translate customer challenges into product requirements, technical solutions, engineering designs, and measurable business outcomes
- Communication, stakeholder management, facilitation, and technical documentation skills
- Experience bringing AI concepts, pilots, or proofs of concept into production-ready products
- Experience partnering with product managers, architects, data engineers, analytics teams, business stakeholders, and vendor delivery partners
- Experience with Semantic Kernel, LangGraph, LangChain, Copilot Studio, Microsoft Fabric, Power BI Copilot, or similar platforms is preferred
- Experience building customer-facing AI products or AI-enabled software capabilities is preferred
- Knowledge of transportation, logistics, supply chain, analytics, or data products is preferred
Benefits:
- Medical, dental, and vision benefits
- HSA medical plan with generous company contribution
- Optional FSA and DCRA
- 100% company-paid basic life insurance
- Short-term disability
- Long-term disability
- Voluntary supplemental plans available on Day 1
- Fully remote options in most U.S. states
- Paid holidays
- PTO
- Summer Hours with no waiting period
- 401(k) plan with automatic company contribution
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