Position: AI Developer
Location: Sunnyvale CA***Day 1 Onsite***
Duration: 1 Years
Data Science AI ML Bedrocks
JD
AI Developer to design and lead AI workflow solutions leveraging AWS Bedrock and latest AI techniques on AWS clous environment. The candidate will be responsible for defining end-to-end system architecture integrating RAG (Retrieval Augmented Generation) embeddings vector databases and orchestrating complex agentic workflows. The role involves establishing best practices for Human-in-the-Loop (HIL) validation strategies and ensuring scalability security and governance of AI systems.
Key Responsibilities
- Define and own the AI architecture roadmap for Bedrock-based solutions.
- Design data ingestion and preprocessing pipelines for AI workflows.
- Architect RAG-enabled solutions integrating embeddings and vector databases.
- Implement agentic workflows and deep-reasoning strategies for complex problem solving.
- Establish best practices for Model Context Protocols (MCP) adoption.
- Design Human-in-the-Loop (HIL) systems and validation frameworks for AI outputs.
- Provide technical leadership to development teams guiding best practices and ensuring scalability.
- Collaborate with stakeholders across product engineering and data teams to align AI strategies.
Skills
- Strong expertise in AWS Bedrock AI workflow orchestration and prompt engineering.
- Deep knowledge of RAG embeddings and vector databases
- Experience designing agentic workflows (multi-agent reasoning frameworks).
- Proficiency with Model Context Protocol (MCP) and context-sharing strategies.
- Proven experience architecting data ingestion pipelines and scalable data flows.
- Strong knowledge of Human-in-the-Loop (HIL) systems model evaluation and validation strategies.
- Experience with Python LangChain LlamaIndex Hugging Face ecosystem and API integrations.
- Experience with scalable cloud architectures (AWS Kubernetes serverless).
- Strong communication and leadership skills to guide cross-functional teams.
Position: AI Developer Location: Sunnyvale CA***Day 1 Onsite*** Duration: 1 Years Data Science AI ML Bedrocks JD AI Developer to design and lead AI workflow solutions leveraging AWS Bedrock and latest AI techniques on AWS clous environment. The candidate will be responsible for defining end-t...
Position: AI Developer
Location: Sunnyvale CA***Day 1 Onsite***
Duration: 1 Years
Data Science AI ML Bedrocks
JD
AI Developer to design and lead AI workflow solutions leveraging AWS Bedrock and latest AI techniques on AWS clous environment. The candidate will be responsible for defining end-to-end system architecture integrating RAG (Retrieval Augmented Generation) embeddings vector databases and orchestrating complex agentic workflows. The role involves establishing best practices for Human-in-the-Loop (HIL) validation strategies and ensuring scalability security and governance of AI systems.
Key Responsibilities
- Define and own the AI architecture roadmap for Bedrock-based solutions.
- Design data ingestion and preprocessing pipelines for AI workflows.
- Architect RAG-enabled solutions integrating embeddings and vector databases.
- Implement agentic workflows and deep-reasoning strategies for complex problem solving.
- Establish best practices for Model Context Protocols (MCP) adoption.
- Design Human-in-the-Loop (HIL) systems and validation frameworks for AI outputs.
- Provide technical leadership to development teams guiding best practices and ensuring scalability.
- Collaborate with stakeholders across product engineering and data teams to align AI strategies.
Skills
- Strong expertise in AWS Bedrock AI workflow orchestration and prompt engineering.
- Deep knowledge of RAG embeddings and vector databases
- Experience designing agentic workflows (multi-agent reasoning frameworks).
- Proficiency with Model Context Protocol (MCP) and context-sharing strategies.
- Proven experience architecting data ingestion pipelines and scalable data flows.
- Strong knowledge of Human-in-the-Loop (HIL) systems model evaluation and validation strategies.
- Experience with Python LangChain LlamaIndex Hugging Face ecosystem and API integrations.
- Experience with scalable cloud architectures (AWS Kubernetes serverless).
- Strong communication and leadership skills to guide cross-functional teams.
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