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Urgently Hiring Python Ai Jobs in Washington (NOW HIRING)

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

Strong Python development experience. Experience developing applications with large language models ... We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail.

Ignite Digital Services is hiring an AI/ML Engineer to independently contribute to developing and ... Python, JavaScript, Rust). * Expertise deploying models on AWS, Azure, or GCP. * Ability to work ...

Data Engineer with Security Clearance

Mclean, VA · On-site

$115K - $139K/yr

Overview BigBear.ai is hiring Data Engineers to build and maintain the source adapters and ... Proficiency in Python or Java for building data services and transformation logic. * Solid SQL ...

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Infographic showing various Urgently Hiring Python Ai job openings in Washington as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Agentic AI Developer

Chantilly, VA • On-site


Leidos
IT Services • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

80th of 499 rated business services

People enjoy working here

Good employer

Recommended by students


$69K - $125K/yr

Full-time

Re-posted 7 days ago


Job description

Agentic AI Developer

Who We Are:
Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers and engineers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics, a Leidos company is uniquely qualified to anticipate tomorrow's threats and build the next generation of capabilities.

Position Overview:
We are seeking a highly motivated and innovative Agentic AI Developer to design, develop, and
deploy autonomous AI systems capable of reasoning, planning, and executing complex tasks
with minimal human intervention. This role focuses on building intelligent AI agents and
multi-agent systems that integrate with enterprise tools, APIs, and data sources to solve
real-world operational challenges.
The ideal candidate has hands-on experience developing AI-powered applications using
modern LLM frameworks, containerized environments, and cloud-native development practices.

Key Responsibilities:
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.

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 onlyand 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.


Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media


What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

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