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

💵 $88.177 - $171.637 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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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

• Define business and technical requirements and the technical approach for AI capabilities • Own capabilities end to end, including discovery, design, development, validation, deployment, and operation • Work across client delivery, internal product development, rapid proofs of concept, and internal enablement • Select appropriate AI patterns such as extraction, classification, summarization, retrieval, or agentic workflows • Recommend simpler non-AI solutions when appropriate • Define measurable success criteria, accuracy targets, human review thresholds, acceptance conditions, and failure definitions • Build complete capabilities including prompt and retrieval design, structured outputs, tool and function definitions, API integration, data handling, error states, and user interfaces • Build evaluation sets from real data, measure results, iterate, and determine deployment readiness • Make architecture decisions considering quality, cost, latency, security, and authorization constraints • Operationalize capabilities with governance, logging, traceability, monitoring, and post-launch optimization • Help clients understand possibilities, anticipate needs, shape future work, and build proofs of concept • Mentor engineers new to AI through code review, pairing, and guidance • Maintain current knowledge of models, tooling, and techniques and develop reusable patterns • Produce documentation covering solution behavior, limitations, validation, and incorrect-result handling

🎯 Requisitos

• 4+ years building and shipping production software • At least 1 year 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 ability to own a capability end to end, from an ambiguous requirement through to something in production that people rely on • 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, applied across the full application rather than the AI layer alone • Proven ability to lead requirements conversations with non-technical stakeholders and translate what you hear into a technical approach • Sound judgment on tradeoffs between accuracy, cost, latency, and complexity, with the ability to explain those tradeoffs to both engineers and executives • Excellent written communication • Ability to work independently through ambiguous requirements, define an appropriate technical approach, and drive work through implementation and delivery with minimal direction • Willingness to teach • U.S. Citizenship required • Ability to obtain and maintain any federal government background investigation, suitability determination, or security clearance required by assigned client engagements • Master’s degree in a relevant field such as Data Science, Business Analytics, Mathematics, or Computer Science (preferred) • Experience with a low-code or application platform such as Appian, OutSystems, Mendix, Microsoft Power Platform, ServiceNow, or Salesforce (preferred) • Public sector or regulated-industry delivery experience, including compliance and authorization processes (preferred) • Experience with cloud AI services such as AWS Bedrock or Azure OpenAI (preferred) • Familiarity with LLM evaluation or observability tooling (preferred) • Prior consulting, solutions engineering, professional services, or embedded client work (preferred)

🏖️ 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