Agentic AI Engineer, Automation

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the team Air Dominance & Strike designs, builds, and flies autonomous air vehicles — from collaborative combat aircraft to expendable cruise missiles to counter-UAS interceptors. Our vehicles move from whiteboard to first flight on timelines that traditional primes consider impossible, which means our design cycles live or die on how fast we can close the iteration loop and begin testing. The Anduril AI-Engineering team exists to collapse that loop. We are engineers first. We work from engineering first principles and unlock capability through machine learning. We are building to scale across design, analysis, test, and program execution, with agent pipelines and tooling that carry across programs. About the job We are looking for an Agentic AI Engineer to automate engineering workflows, build new capability through agents, and improve how engineers access and act on their data. Our R&D work runs through tools of varying fidelity, from empirical methods and low-order models to high-fidelity solvers. You will chain those tools into automated flows that carry a design through analysis to build and then back into the next iteration. You will own agent pipelines end to end: orchestration logic, tool and data integrations, evaluation harnesses, and guardrails. Much of the work is getting agents to drive legacy engineering software which were built for human operators rather than programmatic control. You will also use agents to build new tools as programs evolve and requirements change, standing up capability on program timelines rather than software release cycles. Defense experience is not required. We are looking for engineers who came to machine learning through the problems they were already trying to solve. This role is based onsite in our Costa Mesa, CA office. What You'll Do Build and deploy multi-agent pipelines that compress the engineering design loop, including automated case setup, batch submission, and post-processing of solver runs across CFD, FEA, thermal, and electromagneticsDesign, implement, and evolve how agents interact with classical engineering software: tool calling, prompt engineering, task decomposition, state management, retries, and human-in-the-loop checkpoints, Automate data extraction and aggregation across solvers, test benches, and program systems, and build the dashboards that give engineers and leadership rapid access to their own resultsBuild bespoke tooling through agents for engineering sub-disciplines, including aerodynamics, thermal, GNC, structures, and avionics, that brings new capability in-houseChoose which model to run at each stage of agent work, from planning through tool development to execution, and tune routing, context management, and caching so agents run efficiently against token cost and latency budgetsBuild the evaluation harnesses, guardrails, and sandboxed execution needed to defend agent behavior before it is deployed on a programMentor engineers who are not ML specialists, and work with them to identify and scope the projects where agents deliver the highest impact Qualifications MS or PhD in aerospace, mechanical, or electrical engineering, computer science, data science, or machine learning0-3 years of professional experience, with demonstrated hands-on work implementing agentic AI systemsStrong programming skills in Python and MATLAB, and working knowledge of at least one additional core language such as Java, Go, or C++Experience with Model Context Protocols, including building and maintaining MCP serversExperience building agentic systems, including multi-agent orchestration, tool calling, prompt engineering, integration into classical software systems and retrieval-augmented generationExperience with data extraction, aggregation, and sanitization techniques, and with building production data pipelines from heterogeneous engineering and test sourcesProficiency developing on Linux, with containerized deployment via Docker and KubernetesEligible to obtain and maintain a U.S. Secret security clearance Preferred Qualifications Experience deploying LLM applications in accredited or otherwise restricted cloud environmentsExperience with cost and latency optimization at scale, including caching, batching, and prompt and context efficiencyExperience with structured output, function calling, and prompt optimization at production scaleExperience building knowledge graphs or semantic layers over engineering dataFamiliarity with engineering toolchains such as PLM systems, requirements management tools, solvers, and test data systems US Salary Range$220,000—$292,000 USDThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: BenefitsAt Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.Protecting Yourself from Recruitment ScamsAnduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.Please always verify communications:Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to View email address on click.appcast.io. 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