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Temporary G Code Programmer Jobs in Capitol Heights, MD

Senior AI Engineer

Reston, VA · On-site

$112K - $179K/yr

Design and operationalize agentic, multi-step workflows (e.g., code → test → validate → ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

IT Developer

Washington, DC · Remote

$55 - $65/hr

Write programming scripts to enhance functionality and/or appearance of company web site and/or ... Automating routine tasks (e.g., code formatting, testing, linting Qualification/Certifications

Use CAM software to write precise G-code programs and optimize nesting layouts. Their goal is to ... Work with Manufacture Engineering Team to write clear, highly visual work instructions for setting ...

Senior AI Engineer with Security Clearance

Reston, VA · On-site

$119K - $163K/yr

Design and operationalize agentic, multi-step workflows (e.g., code → test → validate → ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

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Temporary G Code Programmer information

See Capitol Heights, MD salary details

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How much do temporary g code programmer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for temporary g code programmer in Capitol Heights, MD is $31.08, according to ZipRecruiter salary data. Most workers in this role earn between $25.58 and $35.00 per hour, depending on experience, location, and employer.

Senior AI Engineer

Peraton

Reston, VA • On-site

$112K - $179K/yr

Full-time

Re-posted 22 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

50th of 223 rated it services


Job description

Responsibilities
Overview
Peraton is seeking a Senior AI Engineer to to design and build production-grade AI systems and lead the next evolution of software delivery across Defense & Health programs by operationalizing AI at scale. This role is focused on embedding AI across the Software Development Life Cycle (SDLC) focused on LLM integration, agent-based systems, and AI-native software engineering, DevSecOps with AI -transforming how systems are built, tested, secured, and operated via AI driven development.
You will design and implement AI-orchestrated, agent-driven workflows leveraging cloud-native platforms and secure government AI environments (including GenAI.mil). The objective is to move beyond isolated AI use cases and deliver repeatable, governed, and measurable AI-enabled systems that accelerate delivery of to scalable, mission-ready AI solutions.This is a engineer role for someone who understands that real impact comes from orchestrating models, data, and workflows into production-grade capabilities.
This position will report to Reston, VA with occastional telework options.
What You'll Do
  • Architect and implement AI-enabled DevSecOps pipelines that accelerate code generation, testing, security, documentation, and deployment
  • Design and build LLM-powered applications and agentic systems for software development, testing, security, and operations
  • Design and operationalize agentic, multi-step workflows (e.g., code → test → validate → deploy) with appropriate human-in-the-loop controls
  • Leverage and integrate GenAI.mil models and commercial LLMs with cloud-native AI services into secure, scalable development environments
  • Build and integrate AI microservices and APIs into cloud-native platforms
  • Build future-state architecture and data pipelines that ground AI outputs in authoritative, mission-relevant data
  • Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams and programs
  • Integrate AI into IT operations (ticket triage, root cause analysis, observability, incident response) to enable closed-loop automation
  • Define and track performance metrics (cycle time, defect reduction, cost-per-feature, SLA improvements) tied to AI adoption
  • Lead technical adoption across teams, mentoring engineers and standardizing best practices
  • Ensure compliance with federal security, data governance, and AI usage policies
  • Implement RAG architectures using mission data (codebases, documentation, operational data) to ground AI outputs

Critical Skills: AI Orchestration & Systems Thinking
LLM & Agentic Workflow Development
  • Design and implement multi-agent orchestration, tool integration and workflow automation with tool use, memory, and feedback loops
  • Balance automation, control, and reliability in mission-critical environments
  • Prompt engineering, prompt chaining, and reusable prompt architectures
  • Evaluation frameworks for output quality, reliability, and drift

Data & Retrieval Strategy
  • Build and optimize RAG architectures and secure data access patterns
  • Structure and govern data (codebases, runbooks, tickets, documentation) for effective AI consumption
  • Design, build and maintain Vector databases and semantic search
  • Ensure data lineage, integrity, secure access patterns and classification compliance

Model & Platform Orchestration
  • Orchestrate across multiple models and endpoints, including GenAI.mil
  • Implement routing, fallback, and optimization strategies based on latency, cost, and accuracy
  • Design for secure, compliant AI usage in federal environments

Prompt Systems & Evaluation
  • Develop scalable prompt frameworks (templates, chaining, reuse)
  • Implement evaluation pipelines to measure output quality, drift, and reliability
  • Ensure outputs are traceable, testable, and auditable

AI-Enabled DevSecOps, SDLC & AIOps
  • Embed AI into CI/CD, security scanning, testing, and documentation workflows
  • Apply AI to operations (incident response, anomaly detection, automated remediation)
  • Enable closed-loop systems (detect → decide → act)
  • AI-assisted SDLCdevelopment workflows and pipeline integration (code, test, security, documentation)

Observability, Metrics & Governance
  • Define KPIs tied to AI-driven performance gains
  • Implement monitoring for AI system behavior, cost, and outcomes
  • Align with DoD/DHA governance, security, and compliance frameworks

What Success Looks Like
  • 20-40% improvements in in SDLC cycle time through AI-enabled workflows
  • Deliver production-grade AI applications and agentic workflows deployed in secure environments
  • Improve code quality, operational efficiency, and system resilience using AI
  • Standardized, reusable AI orchestration patterns deployed across programs
  • Measurable improvements in SLA performance, cost efficiency, and mission delivery speed

Qualifications
Required Qualifications
  • US Citizenship
  • Active Secret clearance
  • 5 years with BS/BA
  • 5-10+ years of experience in software engineering, DevSecOps, platform engineering, or related field
  • 2+ years of hands-on experience building AI/LLM-based applications or workflows
  • Demonstrated experience integrating AI/LLM-based capabilities into engineering or operational workflows
  • Experience with LLM frameworks and orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or similar)
  • Strong expertise in cloud-native architectures (AWS, Azure, or GCP)
  • Deep understanding of CI/CD pipelines, DevSecOps practices, and modern SDLC frameworks
  • Strong program skills in in Python and at least one additional language (Java, JavaScript, Go, etc.)
  • Experience designing and deploying distributed systems, APIs, and microservices-based architectures

Preferred Qualifications
  • Direct experience with GenAI.mil or other secure government AI platforms
  • Expertise in agent frameworks, LLM orchestration, or emerging AI workflow tooling
  • Experience with Kubernetes, containerized environments, and platform engineering
  • Familiarity with MLOps, AIOps, or AI governance frameworks
  • Experience supporting DoD, DHA, or federal health systems (e.g., MHS GENESIS)
  • Experience deploying AI solutions in IL4/IL5 or FedRAMP High environments
  • Active TS/SCI clearance

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017