AI Product Engineer

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Green Mountain

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1999

📦 Logística

☁️ SaaS

🤝 B2B

Logistics • SaaS • B2B

A Green Mountain é uma empresa de gestão de gastos com encomendas e otimização logística. Ela combina software especializado (sistemas de auditoria e re-rate, Intelligent Visibility impulsionado pela Oreamnos AI) com serviços de consultoria, gestão de transportadoras e dados, e automação de processos para ajudar grandes remetentes complexos a reduzir custos de encomendas, melhorar a precisão e otimizar suas redes de encomendas. A empresa enfatiza parceria estratégica contínua e expertise na indústria, citando resultados como $541 milhões em economia para os clientes, 1,6 bilhões de remessas processadas e um ROI médio de 1577% para os clientes. A Green Mountain se posiciona como uma parceira B2B para varejistas e empresas que buscam transformar o envio em uma vantagem competitiva.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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