GenAI Adoption Lead
Core
Building internal AI tools, agentic workflows, and engineering tooling to accelerate engineering and operations using AWS Bedrock.
Role type
Senior IC GenAI/ML Engineer
Builds
Internal AI tools, agentic workflows, and developer productivity tooling
Domain
Cloud computing, AI/ML engineering, MLOps
Deliverable
production ML models | product features
Required skills
AWS Bedrock, MLOps, Python, RAG, prompt engineering, vector databases, LLM/agent frameworks, CI/CD, testing and evaluation practices
Preferred skills
AI-assisted development tools, embedding AI into engineering workflows, SaaS/multi-tenant platform background, PHP/Laravel ecosystem
Technologies
AWS Bedrock, LangChain, LlamaIndex, Python, Git
Responsibilities
Design and develop internal AI tools and agentic workflows using AWS Bedrock; Build and maintain MLOps pipelines for deployment, monitoring, and evaluation; Develop engineering tooling to improve developer productivity; Implement RAG, prompt engineering, and evaluation frameworks; Write clean, testable code with appropriate test coverage; Participate in code reviews and sprint planning; Troubleshoot issues and contribute to root-cause analysis; Engage with Client engineering counterparts across US, UK, and Brazil.
Seniority
Senior, hands-on IC
