
11 - 50 employees
đź Consulting
đď¸ Defense
đ¤ Artificial Intelligence
Consulting ⢠Defense ⢠Artificial Intelligence
Rackner is a technology company specializing in applying emerging technologies to mission-critical problems in both the public and private sectors. As a Kubernetes Certified Service Provider, Rackner's experienced engineers manage large clusters in production environments for major organizations. The company focuses on cloud-native solutions, DevSecOps, AI, and platform development to modernize business-critical applications. Rackner is also involved in developing innovative systems using Edge, IoT/Mobile, and VR technologies. The company has been recognized on the Inc 5000 List of Fastest Growing Companies and has secured significant contracts with the Department of Defense and the Department of Homeland Security.
đ June 2
đşđ¸ United States â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ¤ AI Engineer
đť Ghost score 72%
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11 - 50 employees
đź Consulting
đď¸ Defense
đ¤ Artificial Intelligence
Consulting ⢠Defense ⢠Artificial Intelligence
Rackner is a technology company specializing in applying emerging technologies to mission-critical problems in both the public and private sectors. As a Kubernetes Certified Service Provider, Rackner's experienced engineers manage large clusters in production environments for major organizations. The company focuses on cloud-native solutions, DevSecOps, AI, and platform development to modernize business-critical applications. Rackner is also involved in developing innovative systems using Edge, IoT/Mobile, and VR technologies. The company has been recognized on the Inc 5000 List of Fastest Growing Companies and has secured significant contracts with the Department of Defense and the Department of Homeland Security.
⢠Design, develop, test, and maintain software for mission-focused R&D projects ⢠Build backend services, APIs, integrations, and data-processing workflows ⢠Develop AI-enabled applications using LLMs, machine learning models, and modern AI technologies ⢠Build and evaluate AI agents, retrieval workflows, automation tools, and AI-assisted capabilities ⢠Integrate AI models and services into usable software applications ⢠Develop prototypes and proofs of concept for government customers and mission users ⢠Work with structured and unstructured data, including ingestion, transformation, validation, and retrieval ⢠Write clean, maintainable, testable code and participate in code reviews and technical design discussions ⢠Debug software, integration, data, and model-related issues ⢠Collaborate with DevSecOps engineers to containerize, deploy, monitor, and improve applications in cloud and secure environments ⢠Evaluate new AI models, frameworks, libraries, and development approaches ⢠Participate in technical demos, field events, experiments, and customer feedback sessions ⢠Turn technical-team and mission-user feedback into software improvements ⢠Document technical decisions, APIs, system behavior, and development approaches
⢠U.S. citizenship due to federal contract requirements ⢠Ability to obtain and maintain a U.S. government security clearance ⢠Strong hands-on software development experience, particularly with Python ⢠Experience developing backend applications, services, APIs, or data-driven software ⢠Experience building, integrating, or supporting AI/ML or generative AI applications ⢠Understanding of software engineering fundamentals, including application design, testing, debugging, version control, and code review ⢠Experience working with APIs, JSON, databases, and structured or semi-structured data ⢠Ability to take a technical problem from concept through implementation and demonstration ⢠Experience working in fast-moving environments where requirements may not be fully defined at the beginning ⢠Ability to independently investigate technical problems, evaluate options, and build practical solutions ⢠Strong communication and collaboration skills with engineers, technical leaders, and non-engineering stakeholders ⢠Willingness to travel approximately 15% for R&D events, demos, testing, and collaboration sessions ⢠Active Secret clearance or higher is helpful ⢠Helpful experience with DoD, Air Force, Space Force, mission command, battle management, C2, ISR, mission planning, autonomy, or national security programs ⢠Helpful experience with LLMs, generative AI, agentic AI, RAG, embeddings, vector databases, or model APIs ⢠Helpful experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations ⢠Helpful experience with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies ⢠Helpful experience with REST APIs, microservices, event-driven systems, or backend frameworks ⢠Helpful experience with SQL, NoSQL databases, data pipelines, or data-processing frameworks ⢠Helpful familiarity with AWS, Azure, Docker, Kubernetes, CI/CD, Git, Terraform, Helm, MLOps, observability, and production AI workflows ⢠Helpful experience developing software for disconnected, classified, edge, or constrained environments ⢠Helpful experience building prototypes, proofs of concept, technical demos, or experimental software ⢠Helpful experience in R&D, defense technology, applied AI, or startup-like engineering environments
⢠Company-supported certifications aligned to current and future program work, including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and related technical areas ⢠Clear advancement tracks and future leadership opportunities ⢠401(k) with 100% match up to 6% ⢠Comprehensive medical, dental, vision, life, and disability coverage ⢠Generous PTO and paid holidays ⢠Home-office equipment plan and remote work support ⢠Fitness and wellness reimbursement ⢠Weekly pay schedule and modern perks, including team events
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