Agentic AI Developer
About The Position
Design and develop Agentic AI solutions using modern agentic platforms, MCP, and A2A communication frameworks. Build and deploy end-to-end Generative AI applications from inception to production, including AI coding assistants and enterprise use cases. Implement and optimize RAG (Retrieval-Augmented Generation) pipelines for scalable and efficient knowledge retrieval. Design and implement embeddings and vector databases to enable semantic search and contextual AI capabilities. Integrate and leverage AWS Bedrock APIs for LLM-based application development. Utilize LangChain or similar orchestration frameworks to design AI workflows and multi-step reasoning systems. Architect and deploy GenAI solutions on AWS cloud, ensuring scalability, security, and performance. Implement AI observability and monitoring practices to track model performance, usage, and reliability. Collaborate with DevOps teams to enable CI/CD pipelines and automated deployments for AI solutions. Apply strong problem-solving and system design skills to build robust and scalable AI architectures. Lead technical discussions and contribute to solution design, architecture decisions, and best practices. Communicate effectively with stakeholders and provide technical leadership and mentorship across teams.
Requirements
- Design and develop Agentic AI solutions using modern agentic platforms, MCP, and A2A communication frameworks
- Build and deploy end-to-end Generative AI applications from inception to production, including AI coding assistants and enterprise use cases
- Implement and optimize RAG (Retrieval-Augmented Generation) pipelines for scalable and efficient knowledge retrieval
- Design and implement embeddings and vector databases to enable semantic search and contextual AI capabilities
- Integrate and leverage AWS Bedrock APIs for LLM-based application development
- Utilize LangChain or similar orchestration frameworks to design AI workflows and multi-step reasoning systems
- Architect and deploy GenAI solutions on AWS cloud, ensuring scalability, security, and performance
- Implement AI observability and monitoring practices to track model performance, usage, and reliability
- Collaborate with DevOps teams to enable CI/CD pipelines and automated deployments for AI solutions
- Apply strong problem-solving and system design skills to build robust and scalable AI architectures
- Lead technical discussions and contribute to solution design, architecture decisions, and best practices
- Communicate effectively with stakeholders and provide technical leadership and mentorship across teams
Responsibilities
- Design and develop Agentic AI solutions using modern agentic platforms, MCP, and A2A communication frameworks
- Build and deploy end-to-end Generative AI applications from inception to production, including AI coding assistants and enterprise use cases
- Implement and optimize RAG (Retrieval-Augmented Generation) pipelines for scalable and efficient knowledge retrieval
- Design and implement embeddings and vector databases to enable semantic search and contextual AI capabilities
- Integrate and leverage AWS Bedrock APIs for LLM-based application development
- Utilize LangChain or similar orchestration frameworks to design AI workflows and multi-step reasoning systems
- Architect and deploy GenAI solutions on AWS cloud, ensuring scalability, security, and performance
- Implement AI observability and monitoring practices to track model performance, usage, and reliability
- Collaborate with DevOps teams to enable CI/CD pipelines and automated deployments for AI solutions
- Apply strong problem-solving and system design skills to build robust and scalable AI architectures
- Lead technical discussions and contribute to solution design, architecture decisions, and best practices
- Communicate effectively with stakeholders and provide technical leadership and mentorship across teams
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S.)
- Life and disability insurance
- Employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
