AI Product Engineer

Green Mountain

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.

Posted 8/17/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operationalizing AI-enabled products, with a strong focus on generative AI technologies and enterprise software architecture. Proven ability to translate customer challenges into actionable product requirements and deliver measurable business outcomes.

Highest-signal resume keywords

AI Product DevelopmentGenerative AI TechnologiesEnterprise Software ArchitecturePython DevelopmentStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Application DeploymentPrompt EngineeringModel EvaluationAPI-First DesignCloud-Native SolutionsSecurity PrinciplesResponsible AI PracticesData AnalyticsTechnical Documentation

Soft Skills

CommunicationFacilitationTechnical Mentoring

Tools & Technologies

Azure OpenAIAzure AI FoundrySemantic KernelLangGraphLangChainCopilot StudioMicrosoft FabricPower BI Copilot

Industry Keywords

TransportationLogisticsSupply ChainData ProductsAnalytics

Tech Stack

Tools & technologies

AzureCloud.NETPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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