Overview
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Large Language Models (LLMs)
Vertex
Microsoft Azure
Python
NumPy
Pandas
Data Manipulation
Database
Amazon DynamoDB
Amazon S3
PostgreSQL
Microsoft SQL Server
MySQL
Vector Databases
Decision-making
FOCUS
Orchestration
Prototyping
Management
Streaming
Mentorship
Innovation
Accountability
Continuous Improvement
Artificial Intelligence
Amazon Web Services
LangChain
Cloud Computing
Workflow
Partnership
Collaboration
Project Lifecycle Management
Job Details
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. You'll 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
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. You'll 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.