Senior AI Software Engineer

hatch I.T. is partnering with Expression to find a Senior AI Software Engineer. See details below:

About The Role:

Expression is seeking an experienced Senior AI Software Engineer and Technical Lead to lead the development of a prototype platform that performs intelligent data processing, distributed inference, and resilient edge computing in communication-constrained environments. The platform integrates software-defined radio (SDR) technologies, edge AI, distributed systems, and modern software engineering practices to enable autonomous processing and decision support at the tactical edge.

The ideal candidate is an experienced hands-on engineer who enjoys building complex systems from the ground up. You are equally comfortable designing system architecture, writing production-quality code, integrating hardware and software components, and mentoring other engineers while remaining deeply involved in implementation.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Responsibilities:

• Lead the technical architecture and implementation of an edge-native intelligent processing platform supporting distributed sensing, edge inference, and resilient mission operations.
• Design scalable software architectures supporting heterogeneous edge computing devices, software-defined radios, embedded compute platforms, and cloud-enabled mission services.
• Develop high-performance backend services using Python, FastAPI, asynchronous programming, and modern distributed software engineering techniques.
• Lead integration of Software Defined Radio (SDR) platforms (such as Ettus USRP, GNU Radio, or equivalent SDR ecosystems) into software pipelines for real-time data processing and analytics.
• Design resilient distributed processing frameworks capable of operating under degraded, disconnected, intermittent, and bandwidth-constrained communications.
• Develop intelligent data processing pipelines that reduce communication overhead through feature extraction, prioritization, and adaptive data management.
• Design peer-to-peer communication services supporting decentralized collaboration across heterogeneous edge devices.
• Implement secure synchronization, workload distribution, and fault-tolerant processing across multiple edge computing nodes.
• Lead software integration across embedded Linux systems, containerized services, edge compute devices, and cloud infrastructure.
• Establish software architecture standards, CI/CD pipelines, testing frameworks, DevSecOps practices, and engineering best practices.
• Collaborate closely with AI engineers to integrate machine learning inference capabilities into production software.
• Produce technical documentation, software architecture artifacts, interface specifications, and engineering design documentation.
• Support technical demonstrations, customer engagements, and prototype evaluations.
• Mentor junior engineers while maintaining significant hands-on software development responsibilities.

Qualifications:

• Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or related fields. An advanced degree is preferred.
• 10+ years of professional software engineering experience designing and building distributed software systems.
• Demonstrated experience serving as technical lead of complex software development efforts.
• Strong Python experience including, asyncio and asynchronous programming, FastAPI, Pydantic, type hinting, and modern development practices.
• Experience developing distributed systems, microservices, or event-driven architectures.
• Proven experience implementing retrieval architectures.
• Experience deploying applications using Docker and cloud-native services within AWS or Azure.
• Experience implementing CI/CD pipelines using GitLab CI, GitHub Actions, or similar automation platforms.
• Experience w