Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build end-to-end fullstack features for logistics and national security systems. Responsibilities include developing performant APIs, creating relational data models, building data pipelines, collaborating with product and UX teams, writing tested production code, and improving CI/CD workflows. The role may involve classified environments and requires the ability to obtain and maintain a U.S. government security clearance.

Build and maintain Gallatin’s Vue-based Navigator frontend, including reusable UI components, design-system primitives, offline Progressive Web App functionality, API integrations, testing, and CI/CD improvements. Ensure reliable desktop and iPad experiences, troubleshoot API and CORS issues, contribute to architectural decisions, and collaborate with product, design, and backend teams. The role also involves documentation, demos, cross-functional troubleshooting, and potentially mentoring junior engineers.

Build, deploy, and operate AI/ML models, scalable MLOps pipelines, and real-time inference systems. Collect and process diverse data sources, improve training data quality, monitor model reliability and drift, and validate AI features with real-world users. The role also involves documenting best practices, mentoring teammates, and staying current with emerging AI technologies, LLMs, security risks, and model-development techniques.

Design, build, and scale reliable backend services, APIs, data pipelines, and integrations for an AI-driven logistics platform. Responsibilities include system architecture, database optimization, cloud deployment, container orchestration, monitoring, testing, documentation, code reviews, and cross-functional collaboration. The role also supports platform reliability, continuous improvement, and mentoring while contributing to national security and logistics missions.

Own the technical side of complex enterprise and government sales cycles. Conduct technical discovery, translate mission needs into solution concepts, lead tailored software demonstrations, address architecture and integration questions, develop technical proposal content, qualify opportunities, and connect customer feedback with Product and Engineering. The role supports AI-enabled logistics software for defense and national security customers and requires customer-facing technical expertise, strong communication, active clearance, U.S. citizenship, and travel up to 25%.

Build AI-driven decision and optimization systems that enforce feasibility, authority, policy, safety, timing, compatibility, and asset constraints. Develop deterministic constraint frameworks, validate operational data, integrate checks into real-time and batch planning pipelines, and provide explainable diagnostics for infeasible plans. Partner with routing, optimization, AI-agent, and execution teams to ensure logistics actions are auditable, policy-compliant, and operationally realistic in high-stakes defense and disaster-response environments.

Build production AI and optimization systems for logistics allocation and packing. Develop heuristics and exact methods, encode physical constraints, maintain data inputs, integrate outputs into routing and resupply workflows, and validate solutions for feasibility, performance, and explainability. The role requires strong Python or equivalent programming, operations research or applied mathematics expertise, and experience with packing, allocation, optimization, and large-scale operational systems. U.S. citizenship and ability to obtain a government security clearance are required.

Build and own internal AI systems from prototype through production, including agents, workflow integrations, document assistants, and CRM tools. Translate workflow problems into technical requirements, develop reliable applications, implement evaluations and observability, design security and human review controls, deploy services, and improve systems using failure data. Collaborate directly with nontechnical colleagues and document solutions for maintainability.

Create user interfaces and experiences for military logistics applications. Develop wireframes and high-fidelity prototypes, conduct user research and usability testing, support visual design systems, collaborate with engineering, participate in design reviews, contribute to product strategy, and document design decisions.

Build and operate production ML infrastructure across cloud, on-premises, GPU, edge, and disconnected environments. Own model training and serving, CI/CD, reproducibility, evaluation, observability, data pipelines, retrieval systems, and secure IL5/IL6 deployments. Support accreditation and classified environments while improving reliability, quality, and performance of LLM and ML systems.