Senior Applied AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏈 Alabama, Alaska, +44 more states – Remote

🏈 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

💵 $149.7k - $205.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Groundswell

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

Groundswell is a leading technology partner for federal agencies, specializing in delivering innovative solutions for modernization and efficiency. With expertise in platforms like Appian, SAP, Workday, and UiPath, Groundswell focuses on empowering federal agencies with low-code development, advanced ERP, and automation technologies. The company partners with federal organizations to enhance recruitment strategies, manage defense transportation, and optimize project management. Groundswell's mission is to challenge the traditional government contracting approach by offering cutting-edge, agile, and tailored technology solutions to help federal agencies meet their goals.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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