AI​/ML Engineer; Systems Engineer, Sr

Redwire is an innovative space and defense technology company driving advanced capabilities across the aerospace sector. We are looking for a leader who can contribute to concept of operations development, mission solution design, and strategic analysis for spacecraft programs supporting National Security Space. This includes work spanning space domain awareness, space resiliency, mission autonomy, structures, sensors, and next‑generation space systems.

The AI/ML Engineer designs, builds, and scales the backend, data, and computational infrastructure that powers intelligent agents, autonomous workflows, and AI‑driven decision systems. This role blends high‑performance backend engineering, graph‑centric data modeling, realtime processing, and secure API design with emerging agentic architectures. You will work across simulation, data, and systems engineering teams to deliver intelligent, reliable, and mission‑aligned agentic capabilities supporting aerospace, defense, and other high‑integrity environments.

• Develop agentic system capabilities - Build and integrate AI agents, autonomous workflows, and LLM‑driven decision systems into backend architectures.
• Design high‑performance backend services - Implement low‑latency, high‑throughput services in Python, C++, or Rust.
• Architect realtime processing pipelines - Build deterministic, concurrent, or multithreaded pipelines for realtime agentic decision loops.
• Develop and govern data access layers - Implement indexing, query optimization, and data‑model governance for evolving knowledge domains.
• Build and optimize APIs - Design REST, GraphQL, and gRPC interfaces with strong schema governance and versioning.
• Integrate graph‑centric data systems - Model agent memory, context graphs, and reasoning structures using graph databases.
• Ensure reliability and observability - Implement logging, metrics, tracing, error handling, and automated testing.
• Collaborate across engineering domains - Work with systems engineers, simulation experts, analysts, and Dev Ops to define clean integration boundaries.
• Support secure and compliant operations - Apply authentication, authorization, secrets management, and secure‑by‑design principles.

• STEM foundation - Bachelor's degree in CS, Engineering, Mathematics, or related field, or equivalent experience.
• Backend & systems engineering - 1-5 years building backend systems, distributed services, or data‑driven pipelines.
• High‑performance programming - Proficiency in Python, C++, or Rust for low‑latency or high‑throughput systems.
• Agentic system integration - Experience integrating AI agents, autonomous workflows, or LLM‑based decision systems.
• Graph‑centric data modeling - Experience with Neo4j, DGraph, ArangoDB, or similar technologies.
• Database schema & modeling - Experience with relational, graph, and document databases.
• Realtime processing - Experience with concurrent, deterministic, or multithreaded pipelines.
• High‑throughput data APIs - Experience with streaming systems and binary transport formats.
• Networking & data transport - Expertise with UDP/TCP, Pub/Sub, and distributed messaging.
• GPU‑accelerated computation - Understanding of CUDA, GPU kernels, or heterogeneous compute architectures.
• API design expertise - Experience designing REST, GraphQL, and gRPC APIs.
• Microservice architectures - Familiarity with containerized deployments and service‑to‑service patterns.
• CI/CD integration - Experience integrating backend services into CI/CD pipelines.
• Service reliability fundamentals - Observability, error handling, contract validation, and automated testing.
• API & data security - Strong understanding of authentication, authorization, and secure data‑access patterns.
• Engineering rigor - Experience working in aerospace/defense or other high‑integrity environments.
• Security eligibility - U.S. Citizen; able to obtain and maintain a DoD Secret clearance (TS/SCI preferred).

• Multiprotocol API development - REST, gRPC, SOAP, GraphQL.
• Agent‑oriented data structures - Modeling agent memory, context graphs, or reasoning chains.
• HPC‑adjacent workflows - Simulation data, scientific computation, or…