软件/AI 开发工程师
Software/AI developer
软件/AI 开发者。研发
地点:美国
工作模式:远程
出差:大约15%用于研发活动、技术演示和协作会议
背景调查:需要美国公民身份。拥有有效机密级背景调查优先;候选人必须具备获得并维持美国政府安全背景调查的资格。
构建以任务为中心的软件和AI能力
Rackner 正在寻找一名软件/AI 开发者。研发,负责设计、构建、测试和展示支持政府和国防任务的软件和AI功能。
这是一个注重实践的工程岗位,适合喜欢将想法和任务需求转化为实际软件的人。你将与研发工程师、技术领导和任务利益相关者一起,快速开发原型、后端服务、API、数据流程和AI驱动的应用程序,这些应用可以经过真实用户的测试,并发展为实际运行的能力。
合适的候选人是一位强大的软件开发者,能够在研发环境中工作,其中需求可能随着我们的学习而变化。你需要能够承担技术问题,编写高质量的代码,尝试新的方法,并从早期概念到工作演示进行推进。
这项工作可能涉及AI/ML应用、大型语言模型(LLMs)、代理AI、后端开发、API、数据管道、分析、自动化、任务系统和云原生软件。
你将构建的内容
- 为以任务为中心的研发项目设计、开发、测试和维护软件。
- 构建后端服务、API、集成和数据处理流程。
- 使用LLMs、机器学习模型和其他现代AI技术开发AI驱动的应用程序。
- 构建和评估AI代理、检索流程、自动化工具和其他AI辅助功能。
- 将AI模型和服务整合到可用的软件应用程序中,而不是将AI视为独立的实验。
- 开发原型和概念验证,可以向政府客户和任务用户进行演示。
- 处理结构化和非结构化数据,包括数据采集、转换、验证和检索。
- 编写干净、可维护、可测试的代码,并参与代码审查和技术设计讨论。
- 在开发和测试环境中调试软件、集成、数据和模型相关的问题。
- 与DevSecOps工程师合作,对应用进行容器化、部署、监控和优化,以提高其在云和安全环境中的性能。
查看英文原文
Software/AI developer. R&D
Location: United States
Work Model: Remote
Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions
Clearance: U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance.
Build Mission-Focused Software and AI Capabilities
Rackner is seeking a Software/AI Developer. R&D to design, build, test, and demonstrate software and AI-enabled capabilities supporting government and defense missions.
This is a hands-on engineering role for someone who enjoys turning ideas and mission needs into working software. You will work alongside R&D engineers, technical leaders, and mission stakeholders to rapidly develop prototypes, backend services, APIs, data workflows, and AI-enabled applications that can be tested with real users and matured into operational capabilities.
The right person is a strong software developer who is comfortable working in an R&D environment where requirements may evolve as we learn. You should be able to take ownership of technical problems, write quality code, experiment with new approaches, and move from an early concept to a working demonstration.
The work may involve AI/ML applications, large language models (LLMs), agentic AI, backend development, APIs, data pipelines, analytics, automation, mission systems, and cloud-native software.
What You’ll Build
- 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 other modern AI technologies.
- Build and evaluate AI agents, retrieval workflows, automation tools, and other AI-assisted capabilities.
- Integrate AI models and services into usable software applications rather than treating AI as a standalone experiment.
- Develop prototypes and proofs of concept that can be demonstrated to government customers and mission users.
- Work with structured and unstructured data, including data 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 across development and testing environments.
- 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 for potential use in R&D projects.
- Participate in technical demos, field events, experiments, and customer feedback sessions.
- Turn feedback from technical teams and mission users into software improvements and new capabilities.
- Document technical decisions, APIs, system behavior, and development approaches so solutions can be maintained and extended.
What You’ll Bring
- 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.
Helpful Experience
- Active Secret clearance or higher.
- Experience supporting DoD, Air Force, Space Force, mission command, battle management, C2, ISR, mission planning, autonomy, or other national security programs.
- Experience developing applications using LLMs, generative AI, agentic AI, retrieval-augmented generation (RAG), embeddings, vector databases, or model APIs.
- Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations.
- Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies.
- Experience with REST APIs, microservices, event-driven systems, or backend frameworks.
- Experience with SQL, NoSQL databases, data pipelines, or data-processing frameworks.
- Familiarity with AWS, Azure, or other cloud platforms.
- Experience with Docker, Kubernetes, CI/CD, Git, Terraform, Helm, or similar development and deployment technologies.
- Familiarity with MLOps, model deployment, observability, evaluation, or production AI workflows.
- Experience developing software for disconnected, classified, edge, or other constrained environments.
- Experience building prototypes, proofs of concept, technical demos, or experimental software.
- Experience working in R&D, defense technology, applied AI, or startup-like engineering environments.
What Success Looks Like
In this role, success means turning mission problems and R&D concepts into software that actually works. You will be expected to write code, build and integrate AI capabilities, test ideas quickly, and work closely with the team to determine what is worth developing further.
You do not need to be an expert in every AI framework or infrastructure technology listed above. We are looking for a strong software developer who understands how to build reliable applications, has meaningful exposure to modern AI development, and is comfortable learning new technologies as the R&D mission evolves.
Travel & Event Support
This role requires approximately 15% travel for R&D events, technical demos, collaboration sessions, and mission-focused engagements.
Travel is planned in advance whenever possible and may include customer-facing or internal engineering events.
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions.
Rackner engineers collaborate closely with technical leadership, program teams, and mission stakeholders to design, build, and improve software systems that address complex operational challenges.
Benefits & Perks
Rackner invests in its people, because when you grow, we all win.
- 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
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.