Associate Applied AI Engineer

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🕒 Setembro 21

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

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💵 $88.177 - $171.637 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🤖 Engenheiro de IA

👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Groundswell

Groundswell

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

• Take a defined technical approach and build it into production-quality functionality • Participate in requirements discussions with business stakeholders to understand workflows, business needs, and desired outcomes • Contribute ideas and alternative approaches during solution design • Identify opportunities to simplify solutions or reduce the AI component where appropriate • Build complete applications integrating AI capabilities with prompt and retrieval design, structured outputs, tool and function definitions, API integration, data handling, error handling, and user-facing functionality • Build evaluation sets from real data, measure results, and accurately report findings • Investigate failures, characterize causes, and implement fixes • Support client demonstrations and proof-of-concepts • Seek feedback and build understanding of client needs and AI best practices • Instrument and document work, including logging, traceability, intended behavior, known limitations, validation methods, and failure handling • Move between client delivery, internal product work, rapid proofs of concept, and internal enablement • Raise blockers, unclear requirements, and untrusted results early • Contribute reusable patterns, prompts, and evaluation harnesses to the team

🎯 Requisitos

• Bachelor’s degree in a technical field, or equivalent demonstrated ability • 1+ years of professional software development experience • Hands-on experience building applications that integrate large language models, including prompt engineering, retrieval-augmented generation, structured extraction, and/or tool use • Experience may be gained through professional work, internships, academic research, or significant personal/open-source projects • Experience contributing to applications that integrate AI capabilities with APIs, data handling, and user-facing functionality • Familiarity with a general-purpose language such as Python, TypeScript, or SQL, with experience integrating APIs and working with imperfect data • Ability to conduct a requirements conversation with a non-technical stakeholder, identify the underlying need, and return with a proposed approach • Willingness to question a design and make the case for an alternative • Ability to work through ambiguous requirements with guidance, ask thoughtful questions, and drive assigned work to completion • Clear written and verbal communication • Candor about the limits of your knowledge and a willingness to ask rather than assume • U.S. Citizenship required • Ability to obtain and maintain any federal government background investigation, suitability determination, or security clearance required by assigned client engagements • Prior client-facing work in consulting, solutions engineering, professional services, or implementation • Experience with a low-code or application platform such as Appian, OutSystems, Mendix, Microsoft Power Platform, ServiceNow, or Salesforce • Public sector or regulated-industry delivery experience • Experience with cloud AI services such as AWS Bedrock or Azure OpenAI • Familiarity with LLM evaluation or observability tooling • Personal or open source projects involving language models, agents, retrieval, or evaluation

🏖️ 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

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