Software Engineer, Agentic Modeling & Simulation (Systems Engineer, Sr)

Redwire; Chantilly (VA); On-site; USD 93,000 - 150,000; Full time

Job summary

Redwire Space seeks an experienced AI/ML Engineer to design and scale the backend, data, and computational infrastructure powering intelligent agents and autonomous workflows for aerospace and defense environments.

Lead integration across simulation, data, and systems teams to deliver reliable, mission-aligned agentic capabilities with secure API design and graph-centric data modeling.

Qualifications

• Bachelor's degree in CS, Engineering, Math, or related field or equivalent experience.
• Experience building backend systems, distributed services, or data pipelines.
• Proficiency in Python, C++, or Rust for low-latency systems.
• Experience with AI agents, autonomous workflows, or LLM-based systems.
• Graph-centered data modeling with graph databases.

Responsibilities

• Develop agentic system capabilities by integrating AI agents and autonomous workflows.
• Design high-performance backend services with low latency and high throughput.
• Govern data-access layers, indexing, and data-model governance.
• Build and optimize REST, GraphQL, and gRPC APIs with versioning.
• Model agent memory and context graphs using graph databases.
• Ensure observability through logging, metrics, tracing, and testing.
• Collaborate with systems engineers, simulation experts, analysts, and DevOps.
• Maintain secure, authenticated, and compliant operations.

Skills

Agentic systems

Backend development

Graph databases

Python

C++

Rust

APIs: REST/GraphQL/gRPC

CI/CD

Education

Bachelor’s degree in CS/Engineering/Math or related field

Tools

Neo4j

DGraph

ArangoDB

Python

C++

Rust

Job description

Position:Software Engineer, Agentic Modeling & Simulation (Systems Engineer, Sr)

Location: 14399 Penrose Place

Suite 200

Chantilly, VA

Job Id:3121

# of Openings:1

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, real‑time 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.

Major Responsibilities

• 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.
• 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 DevOps to define clean integration boundaries.
• Support secure and compliant operations — Apply authentication, authorization, secrets management, and secure‑by‑design principles.

Ideal Experience

• 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.
• Real‑time processing — Experience with concurrent, deterministic, or multi‑threaded 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).

Desired Skills

• Agent‑oriented data structures — Modeling agent memory, context graphs, or reasoning chains.
• HPC‑adjacent workflows — Simulation data, scientific computation, or data‑dense analytics.
• Simulation & modeling systems — Integrating AI agents with simulation engines or digital‑engineering tools.
• High‑rate data processing — Optimizing ingestion and processing for high‑rate sensor or telemetry data.
• Regulated industry exposure — Aerospace, defense, robotics, or similar domains.
• Internal tooling development — Tools or libraries used across engineering teams.
• Cross‑functional collaboration — Work with systems engineers, analysts, simulation experts, and product teams.
• Open‑source contributions — Contributions to backend frameworks, agent libraries, or data‑modeling tools.

Pay range

$93,000 - $150,000 per year

Redwire Space is an Equal Opportunity Employer; employment with MIS is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

All offers of employment at Redwire Space are contingent upon clear results of a thorough background check.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about theClick Here