Software Engineer Artificial Intelligence (Engineer Software 2) - 26935
- Design and implement autonomous multi agent workflows.
- Define reasoning loop patterns, tool use strategies, and long term memory architectures.
- Build reliable, interpretable, and safe agent behaviors for mission critical environments.
- Architect and deploy microservices within Kubernetes based environments.
- Ensure high availability, resilience, and performance as system complexity grows.
- Apply containerization best practices across development and production systems.
- Lead the development of LLM evaluation strategies and automated testing frameworks.
- Drive prompt engineering, parameter tuning, and model behavior optimization.
- Ensure agent outputs remain accurate, safe, and aligned with mission requirements.
- Integrate advanced AI-driven development tools (e.g., Claude Code, Copilot) into the development lifecycle and build CI/CD pipelines to maintain the team’s software.
- Build and maintain CI/CD pipelines to streamline delivery and improve reliability.
- Champion engineering best practices across the team.
- Translate mission level requirements into actionable technical roadmaps.
- Mentor junior engineers in distributed systems, AI engineering, and cloud architecture.
- Collaborate across teams to deliver cohesive, scalable, and future ready solutions.
- 2 years experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience.
- Strong experience building production grade distributed systems (Spring Boot, FastAPI, or similar).
- Must have hands on expertise designing, containerizing, using Docker and orchestrating microservices using Kubernetes.
- Must have demonstrated ability implementing scalable, cloud native microservices on Kubernetes clusters.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively.
- Strong organizational skills and attention to detail.
- Self driven with a high degree of initiative.
- Understanding of the full software development lifecycle.
- Ability to obtain and maintain an active Secret security clearance.
- Knowledge developing autonomous agent architectures or AI/ML systems.
- Experience with Helm and scalable deployment patterns.
- Strong understanding of relational databases (e.g., Postgres) and vector databases (e.g., Pinecone, Milvus).
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