Ai Software Developer Jobs (NOW HIRING)

Job Summary:
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking an Applied AI Software Developer to develop and deploy advanced AI-enabled software systems supporting hardware assurance and operational technology mission areas.
Responsibilities:
• Develop, implement, and maintain AI-enabled software applications and workflows supporting assurance and operational mission objectives.
• Contribute to software development activities across the application lifecycle including implementation, testing, deployment, and sustainment.
• Work within collaborative engineering environments and contribute to modern software development workflows supporting deployable mission capabilities.
• Demonstrate advanced technical capability in the development and implementation of applied AI software systems and modern software engineering practices.
• Contribute to the design, implementation, and deployment of purpose-built AI-enabled applications operating in production or operational environments.
Qualifications:
Required:
• Knowledge and experience programming in Python with experience utilizing modern AI/ML frameworks and libraries such as PyTorch, TensorFlow, Pandas, NumPy, SciPy, or similar technologies.
• Knowledge and experience developing and deploying AI-enabled applications utilizing technologies such as large language models (LLMs), retrieval augmented generation (RAG), agentic workflows, model orchestration frameworks, or related AI technologies.
• Knowledge and experience developing software within Linux environments using modern software development tools and workflows including Git, GitLab, containerization technologies, and CI/CD pipelines.
• Knowledge and experience developing applications utilizing GPU-enabled local and distributed compute environments.
• Knowledge and experience working within collaborative software development environments utilizing modern development standards and engineering best practices.
• Ability to work effectively within multidisciplinary technical teams consisting of software developers, engineers, analysts, and scientific staff.
• Ability to communicate technical concepts and development activities to both technical and non-technical stakeholders.
• Ability to obtain a DOE Q-clearance is required.
• Demonstrated experience developing and deploying purpose-built AI-enabled software applications in operational, research, or production environments.
• Demonstrated experience contributing to formal software development lifecycle activities including software testing, code review, deployment workflows, and development standards.
• Demonstrated experience designing or implementing scalable AI workflows and distributed AI application architectures.
• Demonstrated experience contributing independently to technical implementation efforts within collaborative engineering teams.
• Demonstrated experience evaluating hardware, software, and infrastructure requirements supporting AI-enabled application development and deployment.
• Position requires a bachelor's degree in a relevant technical field and 5 years related experience; or, an equivalent combination of education and experience directly related to the occupation.
• Position requires a bachelor's degree in a relevant technical field and 8 years related experience; or, an equivalent combination of education and experience directly related to the occupation.
Preferred:
• Experience developing AI-enabled applications for cybersecurity, assurance, operational technology, or cyber-physical system environments.
• Experience working with Kubernetes, OpenShift, distributed computing platforms, or scalable AI infrastructure technologies.
• Experience developing modern APIs, backend services, or AI-enabled application frameworks.
• Familiarity with software assurance, secure software development practices, or DevSecOps methodologies.
• Familiarity with scientific, engineering, or operational mission environments requiring collaboration across multidisciplinary technical teams.
• Knowledge and experience with operational technology, industrial control systems, embedded systems, or cyber-physical systems.
• Experience utilizing modern software testing, automation, and deployment methodologies.
• Familiarity with GPU computing environments and scalable AI deployment workflows.
• Active DOE Q Clearance
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.