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.
Required Qualifications
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
Preferred Qualifications
Experience designing multi-agent systems and autonomous workflows.
Familiarity with vector databases and embedding technologies.
Experience deploying AI services in cloud or hybrid environments.
Knowledge of AI safety, governance, and observability best practices.
Experience working in cybersecurity, defense, research, or mission-focused
environments.
Active security clearance or eligibility to obtain one (if applicable)
Technical Stack
Python
LangChain
Langfuse
Chainlit
Docker
GitLab
LLM APIs and AI model providers
REST APIs and microservices
Vector databases and RAG architectures
Desired Traits
Passion for emerging AI technologies and autonomous systems.
Ability to thrive in fast-paced, highly technical environments.
Strong ownership mentality and willingness to prototype rapidly.
Collaborative mindset with strong communication skills.
Curious, adaptable, and mission-oriented
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting
May 22, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range
Pay Range $69,550.00 - $125,725.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
