Job description

Residency All applicants must currently reside in the United States Overview BigBear.ai is seeking a Mid-Level AI/LLM Developer to support the development and implementation of AI-focused initiatives and pilot efforts supporting the Transportation Security Administration (TSA). This role will contribute to the development of AI-enabled capabilities from concept through implementation and will work closely with technical and functional teams to design, develop, test, integrate, and deploy solutions. The ideal candidate has a strong software engineering background and hands-on experience developing applications that leverage artificial intelligence and large language models (LLMs). What you will do • Develop and implement AI- and LLM-enabled applications and capabilities • Support AI pilot initiatives from initial concept through testing, integration, and deployment • Design and develop software solutions using Python and modern cloud technologies • Work with technical and functional stakeholders to understand requirements and translate them into technical solutions • Support API development, system integration, testing, troubleshooting, and deployment activities • Develop and evaluate prompts and LLM-based solutions to improve application performance and usability • Leverage AI-assisted development tools to improve software development efficiency • Contribute to the development of production-ready AI solutions and technical documentation • Collaborate in a fast-paced environment supporting emerging technology initiatives What you need to have • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field • 5+ years of relevant professional experience • Hands-on experience developing AI- or LLM-enabled applications • Strong software engineering and application development experience • Experience supporting solution design, development, testing, deployment, and integration • Strong analytical, problem-solving, and communication skills • Ability to collaborate effectively with both technical and functional stakeholders • U.S. Citizenship is required • Ability to obtain and maintain a DHS/TSA Moderate-Risk Public Trust or equivalent federal suitability determination What we'd like you to have • Experience with Python development • Experience with AWS serverless architectures • Experience with Amazon Bedrock or similar generative AI platforms • Experience working with large language models and prompt engineering • Experience with model evaluation and performance optimization • Experience developing and integrating APIs • Experience using AI-enabled development tools such as Claude Code, GitHub Copilot, or similar technologies • Experience developing production-ready AI applications in a federal or enterprise environment • Existing or prior TSA/DHS Public Trust clearance is strongly preferred • Local to the Springfield, VA area is preferred Pay transparency Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered. About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit bigbear.ai and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai. BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

Requirements

Must-haves

All applicants must currently reside in the United States
The ideal candidate has a strong software engineering background and hands-on experience developing applications that leverage artificial intelligence and large language models (LLMs).
Develop and implement AI- and LLM-enabled applications and capabilities
Support AI pilot initiatives from initial concept through testing, integration, and deployment
Design and develop software solutions using Python and modern cloud technologies
Work with technical and functional stakeholders to understand requirements and translate them into technical solutions
Support API development, system integration, testing, troubleshooting, and deployment activities
Develop and evaluate prompts and LLM-based solutions to improve application performance and usability
Leverage AI-assisted development tools to improve software development efficiency
Contribute to the development of production-ready AI solutions and technical documentation
Collaborate in a fast-paced environment supporting emerging technology initiatives
What you need to have
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
5+ years of relevant professional experience
Hands-on experience developing AI- or LLM-enabled applications
Strong software engineering and application development experience
Experience supporting solution design, development, testing, deployment, and integration
Strong analytical, problem-solving, and communication skills
Ability to collaborate effectively with both technical and functional stakeholders
U.S. Citizenship is required
Ability to obtain and maintain a DHS/TSA Moderate-Risk Public Trust or equivalent federal suitability determination
What we'd like you to have

Nice-to-haves

Existing or prior TSA/DHS Public Trust clearance is strongly preferred
Local to the Springfield, VA area is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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