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Ai Coder Jobs in Washington, DC (NOW HIRING)

Bigbear.ai

Senior AI Engineer

Annapolis Junction, MD · On-site

$114K/yr

What we'd like you to have * Familiarization with RUST, Claude Code, Codex, and CI/CD. Pay ... About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for ...

ECS

AI-Focused Red Team/Blue Team Operator

Washington, DC · On-site

$160K - $205K/yr

Use of AI for offense: agent-driven recon, code analysis, payload generation, recon at scale * Use of AI for defense: anomaly detection, alert triage, automated enrichment, LLM-assisted hunting AI ...

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

The ideal candidate will design, build, and deploy specialized AI subagents (e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create production-grade software. You ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0 ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0 ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0 ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0 ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public Trust investigation Travel: 0 ...

Casepoint

Principal Product Lead, AI

Washington, DC · On-site

$155K - $185K/yr

Use AI-assisted development tools, LLMs, and vibe coding techniques to prototype solutions and produce working demonstrations for customers and internal stakeholders before committing to full ...

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All JobsAi Coder JobsAi Coder Jobs in Washington, DC

Ai Coder information

See Washington, DC salary details

$17

$31

$49

How much do ai coder jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai coder in Washington, DC is $31.12, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $39.18 per hour, depending on experience, location, and employer.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What are popular job titles related to Ai Coder jobs in Washington, DC?

For Ai Coder jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Ai Coder jobs in Washington, DC look for?

The top searched job categories for Ai Coder jobs in Washington, DC are:

Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Washington, DC as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $64,740 per year, or $31.1 per hour.

AI Development Enablement Lead

Trillion Technology Solutions

Reston, VA • On-site

Full-time

Re-posted 18 days ago

Job description

Trillion Technology Solutions is seeking a strategic and execution-focused AI Development Enablement Lead to launch and drive an internal Labs initiative focused on identifying, evaluating, and standardizing AI-powered toolsets to support software development across Trillion's Government consulting portfolio.
This role requires someone who is highly organized and self-directed, with a strong understanding of modern development workflows, but more importantly, someone who is willing and able to roll up their sleeves and evaluate tools directly. While input and feedback will be provided by developers, DevSecOps engineers, and security SMEs, those teams will have limited availability-so the person in this role must be comfortable performing hands-on trials, creating demos, producing comparisons, and ultimately driving the analysis and recommendations themselves.
The focus begins with the software development lifecycle (e.g., code generation, code review, CI/CD integration, test automation, documentation), with potential expansion into other areas such as proposal writing, internal research, knowledge management, and content automation.
This role is ideal for someone who combines strategic thinking, hands-on experimentation, and the ability to build consensus and drive adoption across a diverse technical organization.
Key Responsibilities
  • Lead and manage the internal AI Labs initiative, defining a lightweight but structured framework for piloting and evaluating tools.
  • Research, trial, and assess AI development tools (e.g., Cursor, Windsurf/Codeium, Qodo, GitHub Copilot, CodeWhisperer) with limited day-to-day support from developers.
  • Translate organizational requirements and feedback into testable use cases and evaluation criteria.
  • Directly use, configure, and analyze AI-assisted tools in real-world scenarios to assess usability, productivity impact, and compliance fit.
  • Collaborate with DevSecOps, security, and engineering stakeholders to ensure alignment with RMF, STIG, FedRAMP, and software delivery standards.
  • Produce clear, defensible recommendations-complete with tradeoffs, rollout plans, and measurable outcomes.
  • Develop a roadmap for rollout and adoption across multiple projects, including training, documentation, and change management support.
  • Monitor emerging trends in AI tooling, with a focus on open-source, on-premise, or FedRAMP-compliant solutions applicable to DoD environments.
  • Creation/management of a Trillion Developer focus group/trail group to test and gather feedback of products
  • Agentic AI research/development

Required Qualifications
  • Strong organizational and execution skills-able to independently manage trials, evaluations, and documentation.
  • Hands-on experience in software engineering, DevSecOps, or technical research roles, particularly within complex or regulated environments.
  • Comfort using and evaluating AI-powered development tools directly without needing continuous support from engineering teams.
  • Ability to take high-level goals and convert them into practical evaluation frameworks and implementation plans.
  • Strong written and verbal communication skills, including the ability to produce internal briefs, tool justifications, and stakeholder presentations.
  • U.S. Citizenship and eligibility to work on Government contracts.

Preferred Qualifications
  • Experience supporting DoD, Intelligence Community, or other Federal software programs.
  • Familiarity with AI tools for development, including AI coding assistants, test generation, PR analysis, and code documentation.
  • Exposure to security and compliance requirements such as RMF, STIG, FedRAMP, and SBOM-related tooling (e.g., Syft, Grype).
  • Understanding of CI/CD workflows (e.g., Jenkins, GitLab, Nexus) and container-based environments (e.g., Kubernetes).

Trillion is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local law.

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