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AI/LLM Developer
TechOp Solutions International. Collaborate with stakeholders to identify AI use cases, define requirements, and establish measurable success criteria .
Posted 10/10/2026full-timeRemote • United StatesMid-LevelSenior💰 $121,000 - $149,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing AI solutions using Large Language Models and generative AI technologies, with a strong foundation in software engineering and application development. Proven ability to collaborate with stakeholders and transition successful AI pilots into operational capabilities while ensuring compliance with security requirements.
Highest-signal resume keywords
Large Language ModelsPythonAWS Serverless ArchitecturesAI-Enabled Development ToolsAPI Development and Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI-Enabled Applications DevelopmentGenerative AIPrompt EngineeringModel EvaluationSolution DesignTestingDeploymentIntegration ActivitiesProduction-Ready AI ApplicationsApplication Development
Soft Skills
CollaborationAbility to Work in Fast-Paced Environment
Tools & Technologies
Amazon BedrockClaude CodeGitHub Copilot
Certifications & Qualifications
Bachelor’s DegreeSecurity EligibilityDHS Public Trust
Industry Keywords
TSA ExperienceStakeholder EngagementUser Feedback IncorporationOperational Capabilities
Tech Stack
Tools & technologiesAWSPython
About the role
Key responsibilities & impact- Collaborate with stakeholders to identify AI use cases, define requirements, and establish measurable success criteria
- Develop and implement solutions using large language models (LLMs), generative AI, and related technologies
- Support deployment, monitoring, troubleshooting, and ongoing maintenance of AI-enabled applications
- Work with technical and functional teams to incorporate user feedback and transition successful pilots into operational capabilities
- Perform additional duties as assigned
Requirements
What you’ll need- Bachelor’s degree
- 5+ Years of relevant experience
- Experience developing AI- and LLM-enabled applications
- Strong software engineering and application development background
- Experience supporting solution design, testing, deployment, and integration activities
- Ability to work in a collaborative, fast-paced environment supporting technical and functional stakeholders
- Meet Security Eligibilities
- TSA experience is highly desired
- DHS public trust is strongly preferred and will be prioritized
- Python
- AWS serverless architectures
- Amazon Bedrock
- Large language models
- Prompt engineering and model evaluation
- API development and integration
- Experience developing production-ready AI applications
- AI-enabled development tools, such as Claude Code, GitHub Copilot, or similar technologies