Description:
Strong proficiency in designing and implementing AI agents and multi-agent systems.
Hands-on experience with building and fine-tuning Large Language Models (LLMs).
Expertise in leveraging AWS Bedrock Google Vertex AI and Azure OpenAI to create scalable and cost-effective AI solutions with a focus on A2A ADK LangChain LangGraph for advanced agentic workflows.
Strong proficiency in Python with experience using libraries like NumPy and Pandas for data manipulation and the ability to develop complex AI solutions.
Familiar with databases such as DynamoDB S3 Postgres SQL Server and possibly MySQL
Familiarity with vector databases such as Pinecone Weaviate and ChromaDB for managing agent memory and retrieval systems.
Key Responsibilities:
Shaping the Future with AI Agents: Architect develop and deploy AI agentic systems and multi-agent frameworks that automate complex workflows and enable intelligent decision-making. You will focus on building robust scalable solutions using cutting-edge AI orchestration tools.
Driving End-to-End Solutions: Own the entire lifecycle of our agentic solutions from initial design and prototyping to deployment and maintenance. Youll manage multiple project streams collaborating with cross-functional teams to overcome challenges and deliver significant business value.
Leading from the Front: Mentor and guide a team of engineers and developers fostering a collaborative environment that encourages innovation accountability and continuous improvement.
Pioneering Agentic Solutions: Architect and build powerful AI agent applications leveraging platforms like AWS Bedrock LangChain and other cutting-edge cloud technologies to create intelligent workflows automate tasks and enable sophisticated goal-driven systems.
Building Strong Partnerships: Collaborate with internal and external stakeholders including infrastructure business teams and technology partners ensuring alignment throughout the project lifecycle
Description: Strong proficiency in designing and implementing AI agents and multi-agent systems. Hands-on experience with building and fine-tuning Large Language Models (LLMs). Expertise in leveraging AWS Bedrock Google Vertex AI and Azure OpenAI to create scalable and cost-effective AI solutions wi...
Description:
Strong proficiency in designing and implementing AI agents and multi-agent systems.
Hands-on experience with building and fine-tuning Large Language Models (LLMs).
Expertise in leveraging AWS Bedrock Google Vertex AI and Azure OpenAI to create scalable and cost-effective AI solutions with a focus on A2A ADK LangChain LangGraph for advanced agentic workflows.
Strong proficiency in Python with experience using libraries like NumPy and Pandas for data manipulation and the ability to develop complex AI solutions.
Familiar with databases such as DynamoDB S3 Postgres SQL Server and possibly MySQL
Familiarity with vector databases such as Pinecone Weaviate and ChromaDB for managing agent memory and retrieval systems.
Key Responsibilities:
Shaping the Future with AI Agents: Architect develop and deploy AI agentic systems and multi-agent frameworks that automate complex workflows and enable intelligent decision-making. You will focus on building robust scalable solutions using cutting-edge AI orchestration tools.
Driving End-to-End Solutions: Own the entire lifecycle of our agentic solutions from initial design and prototyping to deployment and maintenance. Youll manage multiple project streams collaborating with cross-functional teams to overcome challenges and deliver significant business value.
Leading from the Front: Mentor and guide a team of engineers and developers fostering a collaborative environment that encourages innovation accountability and continuous improvement.
Pioneering Agentic Solutions: Architect and build powerful AI agent applications leveraging platforms like AWS Bedrock LangChain and other cutting-edge cloud technologies to create intelligent workflows automate tasks and enable sophisticated goal-driven systems.
Building Strong Partnerships: Collaborate with internal and external stakeholders including infrastructure business teams and technology partners ensuring alignment throughout the project lifecycle
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