Agentic AI Developer

CareerCircle
Bethesda, MD, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$69,550.0 - $125,725.0
Working hours
Regular working hours

Tech stack

Testing (Software) HTML Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Business Logic Software Applications Confluence JIRA
+67 more
Unit Testing Microsoft Azure Bash Shell Unix C++ (Programming Language) Cascading Style Sheets (CSS) Cloud Computing Encodings Signals Intelligence Cyber Security Databases Continuous Integration Custom Software Data Structures Software Debugging Linux DevOps Github Spring Framework Junit Python (Programming Language) Key Management Language Modeling Motion Planning NoSQL Object-Oriented Software Development Scrum Methodology Resource Description Framework (RDF) Real-Time Operating Systems Software Safety Service-Oriented Architecture Software Engineering Software Systems SPARQL SQL Databases System Testing Web Application Frameworks Extensible Markup Language (XML) XQuery Data Processing Scripting Google Cloud Enterprise Software Applications Computer Network Operations Chatbots Large Language Models Multi-Agent Systems Marklogic Prompt Engineering Spring-boot State Machines Software Application Programming Backend Gitlab Containerization AI Platforms AngularJS Information Technology Virtual Agents Restful APIs GPT Software Version Control Automation Anywhere Docker Katalon Studio Jenkins Microservices

Job description

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., Bethesda, MDOn-Site NoSQL Junit DevOps XQuery Equities Marklogic Operations Governance Purchasing Upskilling Market Data Spring Boot Cryptography Business Logic Key Management System Testing Data Processing Custom Software Ancient History Agile Methodology Analytical Method Time Off Management Security Engineering Signals Intelligence Business Requirements Object-Oriented Design Angular (Web Framework) Application Development SQL (Programming Language) Agile Software Development Java (Programming Language) Computer Network Operations Cascading Style Sheets (CSS) Python (Programming Language) Service-Oriented Architecture Software Development Life Cycle Extensible Markup Language (XML) HyperText Markup Language (HTML) JavaScript (Programming Language) Resource Description Framework (RDF) Application Programming Interface (API) SPARQL Protocol And RDF Query Language (SPARQL) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Software Engineer Leidos Bethesda, MDOn-Site Unix JIRA Junit DevOps Github Jenkins Equities Scripting Operations Automation Innovation Purchasing User Story Upskilling Market Data Spring Boot Cryptography Key Management System Testing Katalon Studio Version Control Microsoft Azure Ancient History Software Testing Spring Framework Agile Methodology Analytical Method Software Solutions Amazon Web Services Time Off Management Security Engineering Software Engineering Atlassian Confluence Signals Intelligence Bash (Scripting Language) Agile Software Development Java (Programming Language) Google Cloud Platform (GCP) Computer Network Operations Standard Operating Procedure Scrum (Software Development) Python (Programming Language) Software Development Life Cycle JavaScript (Programming Language) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Google IT Automation with Python

Google Project Management

Requirements

Planning Research Equities Curiosity AI Safety AI Agents Operations Leadership Governance Innovation Agentic AI Scalability Market Data RESTful API Communication Observability Cyber Security Memory Systems Self-Motivation Version Control Problem Solving Vector Database Ancient History Computer Science Containerization Docker (Software) Conversational AI Security Clearance Prompt Engineering Workflow Management Multi-Agent Systems Software Engineering Software Development Artificial Intelligence Large Language Modeling Research And Development Internet Of Things (IoT) Cloud-Native Development Computer Network Operations Python (Programming Language) Enterprise Application Software Artificial Intelligence Infrastructure Application Programming Interface (API), * 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, * 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, Actalent Clarksburg, MD*Remote Linux Sensors Research Robotics Debugging Visionary Innovation Algorithms Scalability Unit Testing State Machines Data Structures Software Design Motion Planning Computer Science Autonomous System Autonomous Vehicles Business Development Software Engineering Software Development Continuous Integration Artificial Intelligence Research And Development C++ (Programming Language) Real-Time Operating Systems Python (Programming Language) +0

Google IT Automation with Python

Google Project Management

Benefits & conditions

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

About the company

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., 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., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .

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