More jobs:
Applied AI Software Developer; Software Developer
Job in
Los Alamos, Los Alamos County, New Mexico, 87544, USA
Listed on 2026-06-01
Listing for:
Los Alamos National Laboratory
Full Time
position Listed on 2026-06-01
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
** What You Will Do*
* ** This position will be filled at either the Software Developer 2/3 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.*
* The Weapons Research Services - Secure Networks and Assurance (WRS-SNA) group is seeking an Applied AI Software Developer to work within the Nuclear Weapons Cyber Assurance Laboratory (NWCAL). This position provides an opportunity to develop and deploy advanced AI-enabled software systems supporting hardware assurance, software assurance, cyber-physical resilience, and operational technology mission areas aligned with the LANL weapons mission.
The selected candidate will contribute to the development of scalable AI-enabled applications and operational workflows supporting mission-focused assurance activities. Work within NWCAL spans applied artificial intelligence, large language models, distributed AI workflows, software assurance, operational technology, and cyber-physical systems operating in both laboratory and operational environments. Candidates should be comfortable working in collaborative engineering environments and contributing to modern software development workflows supporting deployable mission capabilities
** Software Developer 2 $ 87,800 - $143,000*
* At this level, the Applied AI Software Developer will work as part of a multidisciplinary engineering team to develop, implement, and maintain AI-enabled software applications and workflows supporting assurance and operational mission objectives. Responsibilities include development of AI-enabled applications utilizing modern machine learning and large language model technologies, implementation of scalable software systems in local and distributed compute environments, and integration of AI capabilities into operational workflows.
The selected candidate will contribute to software development activities across the application lifecycle including implementation, testing, deployment, and sustainment. Work will include development within Linux-based environments utilizing modern development tools, containerized workflows, source control systems, and CI/CD practices. The position provides opportunities to work on technically challenging mission problems involving AI systems, cyber-physical environments, and operational assurance capabilities.
** Software Developer 3 $ 104,100 - $172,200*
* In addition to the responsibilities outlined at the lower level, candidates at this level are expected to demonstrate advanced technical capability in the development and implementation of applied AI software systems and modern software engineering practices. Candidates should possess demonstrated experience contributing to the design, implementation, and deployment of purpose-built AI-enabled applications operating in production or operational environments.
At this level, there is an expectation for more independent technical contribution to software architecture, AI workflow implementation, development standards, and engineering execution across collaborative development teams. Candidates should demonstrate familiarity with formal software development lifecycle practices including source control management, testing methodologies, deployment workflows, and maintainable software design principles. Additional responsibilities may include contributing to technical direction, mentoring less experienced developers, and helping guide implementation approaches for mission-focused AI capabilities.
** What You Need*
* ** Minimum
Job Requirements:
*
* + Knowledge and experience programming in Python with experience utilizing modern AI/ML frameworks and libraries such as PyTorch, Tensor Flow, Pandas, Num Py, Sci Py, 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…
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