AI Engineer

• Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
• Develop evaluation and testing approaches to measure model performance, identify regressions, and improve solution quality.
• Apply LLMs, multimodal models, retrieval-augmented generation (RAG), structured extraction, and tool calling to solve real-world healthcare workflows.
• Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems.
• Improve the reliability, observability, guardrails, and monitoring of production AI applications.
• Stay current with advancements in AI technologies and apply them pragmatically to deliver business value., As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools-including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies-to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we “Commit to Our Craft” by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us “Win Together” in finding the best fit for our team., Lead requirements-based systems engineering for APU control systems: define, decompose, verify/validate system requirements, support architecture and interfaces, apply environmental qualification standards, coordinate cross-functional integration, and support program execution and customer design reviews. Top Skills: BitbucketIbm DoorsMatlabMbseSimulinkTeamcenter The Aerospace Corporation

Sr Supplier Dev Engineer

26 Minutes Ago Remote or Hybrid Senior level Senior level Aerospace * Artificial Intelligence * Cloud * Machine Learning * Software * Cybersecurity * Defense Lead supplier development strategy and team to improve supplier quality, cost, capacity, and delivery. Apply Lean/Six Sigma, drive rate readiness, track metrics and milestones, collaborate cross-functionally, and travel to suppliers globally to ensure production commitments are met. Top Skills: Black BeltGreen BeltLean Six SigmaProject ManagementRail Milestone ChartsSupplier Relationship Management

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

The ideal candidate has hands-on experience building and delivering production AI solutions for enterprise users and enjoys translating business requirements into scalable, reliable AI applications. They bring strong software engineering fundamentals, applied AI expertise, and a collaborative mindset to deliver solutions from concept through production., * Bachelor’s degree - Required

• Master’s degree - Preferred
• 5+ years of software engineering, applied AI, machine learning, or related technical experience, including at least 1 year of recent experience designing and delivering production-grade Generative AI solutions.
• Hands-on experience with modern AI systems, including LLMs, retrieval-augmented
• generation (RAG), agents, structured extraction, classification, or workflow automation.
• Proficiency in Python, with experience building cloud-native applications on AWS or GCP and working with relational and/or NoSQL databases.
• Practical experience with prompt engineering, tool calling, retrieval, model selection, context management, and AI application debugging.
• Experience evaluating AI system quality using metrics, test datasets, human review, and error analysis.
• Strong software engineering fundamentals, including system design, testing, scalability, and maintainability.
• Hands-on experience building retrieval-augmented AI applications using vector databases, embeddings, and semantic search.
• Preferred: Experience working in healthcare, insurance, financial services, or another regulated industry.
• Preferred: Familiarity with AI evaluation, prompt optimization, guardrails, or human-in-the-loop workflows.

25 Minutes Ago Remote or Hybrid 186K-267K Annually Senior level 186K-267K Annually Senior level Aerospace * Artificial Intelligence * Cloud * Machine Learning * Software * Cybersecurity * Defense Lead enterprise-wide deployment of the Honeywell Aerospace Operating System (AOS) to drive Lean transformations across engineering, manufacturing, and supply chain. Coach leaders, run Kaizen events, develop AOS methods, lead change projects, implement digital and analytics initiatives, optimize end-to-end supply chain processes, and monitor performance to improve operational efficiency and compliance. Requires extensive Lean leadership and heavy travel. Top Skills: Aos (Aerospace Operating System)Data AnalyticsDbsDigitalizationErp SystemsHosKaizenLean Six SigmaToyota Production System The Aerospace Corporation

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own “inflection point,” where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role

We are seeking a Senior AI Engineer who is passionate about building production-ready AI applications using Generative AI, Agentic AI, and modern software engineering practices. This role is focused on designing, developing, and deploying AI solutions that solve meaningful business and clinical problems.