Senior Applied AI Engineer

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🕒 Setembro 21

🏈 Alabama, Alaska, +44 estados a mais – Remoto

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $149.748 - $205.305 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 0%

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Groundswell

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

📦 Logística

🎖️ Defesa

Consulting • Logistics • Defense

A Groundswell é uma parceira líder em tecnologia para agências federais, especializada em proporcionar soluções inovadoras para modernização e eficiência. Com especialização em plataformas como Appian, SAP, Workday e UiPath, a Groundswell foca em capacitar agências federais com desenvolvimento low-code, ERP avançado e tecnologias de automação. A empresa colabora com organizações federais para melhorar estratégias de recrutamento, gerenciar transporte de defesa e otimizar a gestão de projetos. A missão da Groundswell é desafiar a abordagem tradicional de contratação governamental, oferecendo soluções tecnológicas de ponta, ágeis e personalizadas para ajudar as agências federais a atingirem seus objetivos.

Descrição

• Lead discovery with business and technical stakeholders to understand workflows, supported decisions, and acceptable results • Define measurable success criteria, including accuracy targets, human review thresholds, acceptance conditions, and failure definitions • Recommend non-AI solutions when rules, process changes, or improved interfaces are more appropriate • Select appropriate AI patterns such as extraction, classification, summarization, retrieval, or agentic workflows • Make and defend architecture decisions considering quality, cost, latency, security, and authorization • Build complete AI-enabled capabilities, including prompt and retrieval design, structured outputs, tools, APIs, data handling, error states, and user interfaces • Build evaluation sets from real data and iterate based on results • Determine deployment readiness • Operationalize capabilities in client environments with governance, logging, and traceability • Produce documentation covering solution behavior, limitations, validation, and incorrect-result handling • Monitor and optimize quality, cost, latency, and drift after launch • Shape client roadmaps and demonstrate possibilities through working proofs • Mentor engineers newer to AI and review their work • Contribute reusable patterns to the team • Move between client delivery, internal product work, rapid proofs of concept, and internal enablement

🎯 Requisitos

• 7+ years building and shipping production software • At least 2 years of hands-on experience building applications that integrate large language models, including prompt engineering, retrieval-augmented generation, structured extraction, tool use, and agent patterns • Demonstrated experience evaluating AI system quality, including building test sets, defining metrics, and making deployment decisions based on evidence • Strong programming ability in a general-purpose language such as Python, TypeScript, or SQL • Experience integrating APIs and working with imperfect data across the full application • Proven ability to lead requirements conversations with non-technical stakeholders and translate them into a technical approach • Sound judgment on tradeoffs between accuracy, cost, latency, and complexity • Excellent written communication • Ability to work with minimal direction in ambiguous situations • Track record of improving the capability of other engineers • U.S Citizenship required • Ability to obtain and maintain any federal government background investigation, suitability determination, or security clearance required by assigned client engagements • Preferred: Master’s degree in a relevant field • Preferred: Experience with low-code or application platforms such as Appian, OutSystems, Mendix, Microsoft Power Platform, ServiceNow, or Salesforce • Preferred: Public sector or regulated-industry delivery experience • Preferred: Experience with AWS Bedrock or Azure OpenAI • Preferred: Familiarity with LLM evaluation or observability tooling • Preferred: Prior consulting, solutions engineering, professional services, or embedded client work

🏖️ Benefícios

• Comprehensive medical, dental, and vision plans • Flexible Spending Account • 4% 401K Match (immediate vesting) • Paid Time Off • Tuition reimbursement, certification programs, and professional development • Flexible work schedule • On-site gym and childcare option