
Software Developer
SAIC · Tennessee, United States
About this role
The Mid-Level Software Developer will contribute to the design, development, and deployment of a next-generation Agentic AI Platform. Responsibilities include building intelligent, autonomous agent frameworks and modern web applications across the full development stack. The technical environment involves working with Mendix, Python, AWS services like SageMaker and Lambda, and Infrastructure as Code tools like Terraform. The role requires collaboration with AI/ML engineers, architects, and product owners to translate requirements into scalable solutions. Candidates must be able to obtain a Secret clearance and pass the CompTIA Security Plus examination.
Skills & technologies
Must have
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Location Remote Work, TN, US
Date Posted 2026-08-26
Category Software
Subcategory SW Engineer
Schedule Full-Time
Shift Day Job
Travel Yes - 10% of the time
Minimum Clearance Required None
Clearance Level Must Be Able to Obtain Secret
Potential for Remote Work ORA_REMOTE
Description
SAIC's STG is seeking a talented and motivated Mid-Level Software Developer to join our growing team focused on the design, development, and deployment of a next-generation Agentic AI Platform. In this role, you will contribute to building intelligent, autonomous agent frameworks and modern web applications that support complex decision-making workflows. You will work across the full development stack — from crafting intuitive front-end user experiences to building robust backend services and cloud infrastructure components. This role can be worked remotely anywhere in the United States. Candidates must have the ability to get a secret clearance.
Responsibilities
- Design, develop, and maintain front-end web applications using modern web technologies and low-code platforms
- Build and style responsive, user-friendly interfaces within the Mendix platform, ensuring a polished and effective user experience
- Develop and maintain backend REST services and business logic to support platform capabilities and agentic AI workflows
- Contribute to the development of agentic AI components, including integration with frameworks such as LangChain, LangGraph, and LangSmith
- Support development and deployment of cloud-based services and infrastructure on AWS, leveraging tools such as OpenSearch, SageMaker, Lambda, and SQS
- Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, Packer, and Terragrunt
- Collaborate with AI/ML engineers, architects, and product owners to translate requirements into scalable, production-ready solutions
- Support testing, debugging, and performance optimization of platform components
- Maintain documentation for system architecture, APIs, and development processes
- Bachelor's degree in Computer Science, Software Engineering, or a related field and 2 years of experience. Masters and 0 years
- 2–5 years of professional software development experience
- Experience building front-end web applications using core web technologies HTML, CSS, and JavaScript
- Experience developing backend services and APIs, including RESTful service design and complex business logic implementation, using languages such as Python, Java, or NodeJS
- Strong problem-solving skills and ability to work effectively in a fast-paced, collaborative agile environment
- Pass CompTIA Security Plus Examination within 90 Days of Employment
- Must be a U.S. Citizen, no dual citizenship
- Candidates must have the ability to get a secret clearance
- Experience with HTML, CSS, JavaScript, and ReactJS for building modern, component-based web applications. Familiarity with low-code development platforms, particularly Mendix (note team training on Mendix is provided). Ability to effectively style and design front-end applications for usability and visual consistency
- Python development experience, particularly for backend service development. Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, and/or LangSmith. Familiarity with multi-agent orchestration, autonomous workflow design, or LLM integration patterns
- Experience with AWS cloud services, including one or more of the following OpenSearch, SageMaker, Lambda, SQS
- Experience with Infrastructure as Code (IaC) tools, including Terraform, Packer, Terragrunt
- Familiarity with DevSecOps practices