Software Engineer — Agentic AI Systems

Rincon Research Corp; Chantilly (VA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

ESOP

401(k) Plan

Flexible spending accounts

Job summary

Rincon Research Corporation in Chantilly, VA seeks a Software Engineer – Agentic Systems to design, develop, and deploy mission-focused software with emphasis on AI-enabled capabilities and LLMs. You’ll work across the stack from architecture to deployment, using Python, containers, and cloud or restricted environments.

Ideal candidates have 5+ years in software engineering, strong Python skills, RESTful API experience, and a passion for integrating advanced AI technologies with government

Qualifications

• US citizenship and current TS/SCI clearance.
• 5+ years of professional software engineering experience.
• Strong Python development experience in production systems.
• Solid understanding of OO/functional design, data structures, and algorithms.
• Experience designing and consuming RESTful APIs.
• Experience with Docker and containerized development.
• Experience with automated testing (unit/integration).
• Experience with Git-based workflows and code reviews.
• Familiarity with CI/CD and DevSecOps.
• Strong problem-solving and cross-boundary troubleshooting.
• Interest in learning/applying emerging AI technologies, including LLMs.
• Ability to communicate effectively with technical teams and government customers.

Responsibilities

• Design, develop, integrate, test, and maintain mission-focused software applications and services using Python and other modern programming languages.
• Design and implement APIs, backend services, data processing components, and integrations with external systems.
• Apply sound software engineering principles, including modular design, code reuse, version control, automated testing, documentation, and peer review.
• Integrate software with APIs, databases, data platforms, enterprise services, mission systems, and third-party technologies.
• Develop and maintain unit, integration, regression, and end-to-end automated tests to ensure software quality and reliability.
• Build, package, and deploy applications using Docker and other containerization technologies.
• Support deployment and operation of software within cloud, on-premises, hybrid, and restricted computing environments.
• Participate in architecture and design activities, including evaluating technical approaches, frameworks, libraries, and integration patterns.
• Explore and integrate LLMs, AI-enabled services, and agentic capabilities into software applications where they provide mission value.
• Develop AI-enabled workflows that may incorporate model APIs, tool/function calling, retrieval, data sources, external services, and multi-step processing.
• Evaluate and test AI-enabled capabilities for functionality, reliability, performance, and appropriate behavior.
• Implement application logging, monitoring, tracing, error handling, and other capabilities necessary to troubleshoot and operate production systems.
• Support CI/CD and DevSecOps processes for building, testing, scanning, packaging, and deploying software.
• Diagnose and resolve complex technical issues across application code, integrations, containers, infrastructure, and external dependencies.
• Collaborate directly with engineers, program teams, and government customers to understand mission requirements and translate them into working software.
• Stay current with emerging software and AI technologies and identify practical opportunities to incorporate them into mission solutions.

Skills

Python

Software engineering fundamentals

RESTful APIs

Git workflows

CI/CD

Problem solving

Communication with stakeholders

Distributed systems

Linux

Tools

Docker

Kubernetes

Git

LangGraph / LangChain

Model APIs

Job description

Rincon Research Corporation in Chantilly, VA seeks a Software Engineer – Agentic Systems to design, develop, and deploy mission-focused software with emphasis on AI-enabled capabilities and LLMs. You’ll work across the stack from architecture to deployment, using Python, containers, and cloud or restricted environments.

Ideal candidates have 5+ years in software engineering, strong Python skills, RESTful API experience, and a passion for integrating advanced AI technologies with government