Tagup, Inc.

Full-stack Engineer

• Own features across the stack—from React UI to APIs, data models, and pipelines that feed AI-driven capabilities.
• Build intuitive, performant web experiences; translate wireframes into accessible, production-ready interfaces that handle large datasets.
• Design, implement, and operate APIs (GraphQL/REST) and database schemas; write clean, well-tested Python and SQL, including high-performance queries.
• Ship reliable software with unit/integration tests, CI, and thoughtful code reviews; uphold cross-browser compatibility and front-end performance best practices.
• Deploy and run services with containers/orchestration (Kubernetes) and IaC (Terraform) on AWS; contribute to ETL jobs and data integrations.
• Partner closely with product, design, and data teams to iterate quickly and deliver measurable outcomes for users.

Full-Stack Engineer

Frontend Engineer

• Collaborate extensively with the product design team to bring wireframes and visual designs to life as compelling React applications.
• Write clean, modular, well-documented, and reusable React code, prioritizing efficient development and deployment.
• Leverage your React expertise to create performant and pixel-perfect user interfaces.
• Adhere to cross-browser compatibility best practices while maintaining a focus on user experience consistency across different platforms.

Front-End Engineer

• Lead and grow a high-performing engineering team
• Stay hands-on, contributing to core codebases and reviewing technical work
• Collaborate with product managers to align on priorities and goals
• Drive architectural choices and ensure the scalability of our systems
• Champion engineering best practices like clean code and testing
• Balance leadership with technical depth: set direction, mentor engineers, and contribute directly to code

Engineering Lead

Engineer

• Own technical relationships with defense customers and serve as their primary point of contact
• Manage multiple contracts and deployments concurrently to ensure mission success
• Develop clear deployment plans with tasks, milestones, and resources
• Communicate deployment strategies, deliverables, and timelines across internal and external teams
• Translate customer needs into product requirements and align feature development with defense applications
• Oversee technical delivery from contract signing to deployment and ongoing use in operational environments
• Deliver cutting-edge AI/ML technology to defense sector clients and support high-pressure operational situations

Forward Deployed Engineer

Machine Learning Engineer

• Develop, train, and optimize ML models for large-scale applications
• Design, deploy, and scale AI solutions that directly support mission-critical operations
• Build pipelines for data ingestion and model deployment
• Work with engineers and subject-matter experts to refine solutions
• Conduct testing and validation to ensure reliability
• Co-author technical reports on data analysis and model performance
• Continuously improve ML infrastructure and workflows
• Collaborate with customers to identify new data sources (some customer travel may be required)
• Create models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance

Artificial Intelligence

• Develop and maintain internal applications that track business, engineering, and operational performance
• Build and optimize data pipelines that integrate information from finance, product, and operations systems
• Partner with leadership to define key performance indicators (KPIs) and translate them into measurable, real-time dashboards
• Automate recurring workflows and reporting tasks to improve efficiency and reduce manual effort
• Ensure data quality, reliability, and accessibility across teams
• Act as the primary technical point of contact for internal analytics and tooling needs
• Collaborate with engineering to align internal tools with broader platform and product strategies

AI Operations Lead

Site Reliability Engineer

• Design, build, and support resilient, secure, and scalable systems for AI platforms
• Architect and secure infrastructure across AWS, Kubernetes, and cloud-native systems
• Own ATO (Authority to Operate) processes and compliance frameworks (IL5+, CMMC, NIST)
• Design infrastructure as code with Terraform and other modern tooling
• Conduct vulnerability assessments, penetration tests, and incident response
• Collaborate with engineering team to embed security into the development lifecycle
• Stay ahead of security trends and continuously improve defenses

Principal DevSecOps Engineer

Program Manager

• Lead the planning, coordination, and delivery of AI/ML programs in aviation and defense; Serve as the trusted connector between engineering teams, operators, and customer partners; Translate business and technical needs into actionable project plans and milestones; Track progress, identify risks, and implement solutions to keep programs on target; Drive clear, consistent communication across teams and stakeholders; Prepare executive-level updates, reports, and presentations that highlight progress and impact; Build a culture of agility, accountability, and delivery excellence across programs.

Program Manager, Aviation

• Tagup is a defense AI company combining expert knowledge with artificial intelligence to revolutionize military logistics.
• Tagup's AI software directly controls large-scale industrial equipment and logistics systems, ensuring our customers get the best performance they can.
• As a rapidly scaling AI/ML technology company, we are looking to expand our team.
• Do you love learning? Do you like understanding many parts of a system, not just one small section? Do you enjoy sharing your knowledge with others, and learning things from them in turn?
• We’re a team of engineers and data scientists driven by our mission: to make the machines and processes that power the world safer, more reliable, and more efficient.
• As a Software Engineer, you will help create and maintain the services that allow us to deliver value to our customers.
• This includes building out our API, databases, ETL processes, and more!
• You will have the opportunity to work on tasks ranging from writing high performance SQL queries that support our API to building high throughput data pipelines that feed our AI models.