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AI Developer – Human in the Loop (HIL) (Domain Software)


Job Location:

Sunnyvale, CA - USA

Monthly Salary: Not provided by the employer
Posted: 12 June 2026 (30+ days ago)
Application Deadline: 9 September 2026
Vacancies: 1 Vacancy

Job Summary

  • Position: AI Developer Human in the Loop (HIL) (Domain: Software)
  • Location: Sunnyvale CA - onsite
  • Duration: 12 month contract
  • Interview: 2 video conference interviews

Top Priority:
  • 4 years of production-grade Agentic AI development
  • Experience building and deploying AI agents in production
  • Strong hands-on experience building RAG solutions from scratch
  • Human-in-the-Loop (HIL) workflow implementation experience
  • Strong software engineering / backend development background
  • Experience with embeddings and vector databases
  • Experience building data ingestion pipelines
  • Experience with MCP (Model Context Protocol) or similar agent orchestration frameworks
  • Ability to design and develop AI solutions independently
  • AWS cloud experience (AWS Bedrock highly preferred)


AI Developer
- 4 Years doing production grade agentic development (ask your engineers about this)
- Multi Data Source Agentic development --> on the IT side of optimization. Not looking for business process optimization. They are working on internal productivity tools for hardware teams.
- AWS Bedrock is a PLUS - they are ok with someone who has a good approach to problem solving but doesnt have experience with specific tools


Overview:
Senior AI Developer with hands-on expertise in implementing AI workflows using AWS Bedrock. The role requires deep technical proficiency in building AI-driven solutions with data ingestion pipelines RAG embeddings and vector databases. The ideal candidate should have strong experience in coding agentic workflows implementing MCP and integrating HIL and validation mechanisms into deployed systems.

Key Responsibilities:
- Develop and maintain AI workflows leveraging AWS Bedrock services.
- Implement data ingestion and transformation pipelines for model readiness.
- Build RAG-based applications integrating embeddings and vector databases.
- Implement agentic workflows and reasoning strategies for task automation.
- Integrate MCP (Model Context Protocols) into workflow design.
- Develop and test Human-in-the-Loop (HIL) workflows and validation strategies.
- Write clean optimized and reusable code for scalable AI services.
- Collaborate with architects and product managers to ensure alignment of solutions.
- Debug optimize and improve model performance across deployments.

Additional to expand pool:
- Backend developers with experience in cloud services (AWS preferred)
- Familiar with service oriented architectures and data pipelines.
- Devops can also be relevant with container deployment systems development and CI/CD pipeline.

AWS Kendra
DevOps
CI/CD
Services related to bedrock
Not just executing a plan
Developed their own RAG
Working with SMEs before