Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Leidos

AI Developer

Leidos

. Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently.

Posted 5/23/2026full-timeChantilly • Maryland, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $69,550 - $125,725 per yearWebsite

Tech Stack

Tools & technologies
Cyber SecurityDockerPython

About the role

Key responsibilities & impact
  • Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently.
  • Build and orchestrate multi-agent workflows using modern AI frameworks and tooling.
  • Develop AI-enabled applications using large language models and retrieval-augmented generation (RAG) architectures.
  • Integrate AI agents with APIs, databases, enterprise systems, and external services.
  • Build conversational and human-in-the-loop interfaces for AI systems.
  • Develop observability, tracing, and evaluation pipelines for AI workflows and agent performance.
  • Containerize and deploy AI applications using Docker-based infrastructure.
  • Collaborate with software engineers, cybersecurity teams, researchers, and stakeholders to deliver scalable AI capabilities.
  • Maintain CI/CD pipelines and source control workflows using GitLab.
  • Optimize prompts, memory systems, context handling, and agent decision-making.
  • Research and prototype emerging agentic AI techniques and frameworks.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field (or equivalent experience).
  • 3+ years of software development experience.
  • Strong Python development experience.
  • Experience developing applications with large language models (LLMs).
  • Experience building AI applications using LangChain.
  • Experience with AI observability and tracing tools such as Langfuse.
  • Experience developing conversational AI interfaces using Chainlit.
  • Experience with containerization technologies such as Docker.
  • Experience managing repositories and CI/CD workflows using GitLab.
  • Familiarity with REST APIs, vector databases, and modern backend architectures.
  • Strong understanding of prompt engineering, RAG pipelines, and agent orchestration concepts.
  • Strong communication and problem-solving skills.

Benefits

Comp & perks
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonlarge language modelsLangChainAI observabilitytracing toolsChainlitDockerCI/CDGitLabprompt engineering
Soft Skills
communicationproblem-solving