AI & LLM Engineer for Production AI Apps

TechOp Solutions International; Washington; Presencial; USD 121.000 - 149.000; Jornada completa

Descripción de la vacante

TechOp Solutions International is seeking an AI/LLM Developer to advance AI initiatives from concept to implementation in a Washington state setting. You will collaborate with stakeholders to identify use cases, define requirements, and drive measurable success criteria for AI-enabled capabilities.

The role involves hands-on development using Python, AWS serverless architectures, and Bedrock, with focus on deployment, monitoring, and ongoing maintenance of AI systems.

Formación

• Bachelor’s degree in a relevant field.
• 5+ years of relevant AI/LLM development experience.
• Experience building AI- and LLM-enabled applications.
• Strong software engineering and application development background.
• Experience supporting design, testing, deployment, and integration activities.

Responsabilidades

• Collaborate with stakeholders to identify AI use cases and define success criteria.
• Develop and implement solutions using large language models and related tech.
• Support deployment, monitoring, and maintenance of AI-enabled apps.
• Work with teams to incorporate feedback and transition pilots to ops.
• Performs additional duties as assigned.

Conocimientos

Relevant experience

AI/LLM development

Software engineering

Solution design/deployment

Stakeholder collaboration

Security eligibilities

TSA experience

DHS public trust

Educación

Bachelor’s degree

Herramientas

Python

AWS serverless

Amazon Bedrock

LLMs / AI tools

Prompt engineering

API development

Production-ready AI apps

Claude Code / GitHub Copilot

Descripción del empleo

TechOp Solutions International is seeking an AI/LLM Developer to advance AI initiatives from concept to implementation in a Washington state setting. You will collaborate with stakeholders to identify use cases, define requirements, and drive measurable success criteria for AI-enabled capabilities.

The role involves hands-on development using Python, AWS serverless architectures, and Bedrock, with focus on deployment, monitoring, and ongoing maintenance of AI systems.