drjobs Lead Agentic AI Engineer – GenAI & Multi-Agent Systems

Lead Agentic AI Engineer – GenAI & Multi-Agent Systems

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Job Location drjobs

San Jose, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Who we are:

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description:

Job Title : Lead Agentic AI Engineer GenAI & Multi-Agent Systems

Job Type : C2C

Experience : 8 - 15 Years

Location : San Jose California (On-Site)

Required Skills and Experience:

  • Experience in agents and agentic frameworks.

  • Proven hands-on experience with Langchain Langgraph LlamaIndex Autogen Crew or similar.

  • Expertise in Python programming and strong familiarity with agent orchestration libraries.

  • Solid understanding of AI/ML concepts algorithms and frameworks (e.g. transformers RL LLMs).

  • Experience integrating solutions with cloud platforms such as AWS (Bedrock) Azure and Google Cloud.

  • Experience building Internet of Agents (IoA) architectures.

  • Background in multi-agent systems autonomous decision-making or reinforcement learning.

  • Experience working in cross-functional agile environments.

  • Contributions to open-source GenAI/Agentic frameworks.

  • Ability to lead a team and manage project timelines deliverables and stakeholder communication.

  • Excellent problem-solving analytical and debugging skills.

Responsibilities:

  • Design build and deploy agent-based systems using modern GenAI frameworks like Langchain Langgraph LlamaIndex Crew Autogen etc.

  • Architect multi-agent collaboration workflows ensuring modularity scalability and reusability.

  • Collaborate with cross-functional teams to integrate agent systems with cloud platforms such as AWS Bedrock Azure AI and Google Vertex AI.

  • Lead and mentor a team of AI engineers and data scientists fostering a collaborative and innovative environment.

  • Perform research and experimentation to enhance agent capabilities and system performance.

  • Write clean scalable and high-performance Python code with a strong focus on agentic orchestration.

  • Conduct code reviews debugging and testing to ensure high-quality deliverables.

  • Stay current with industry trends and advancements in agent technologies GenAI and ML.

Qualification:
  • Bachelors in engineering Computer Science or any other related Field.

Employment Type

Full-time

Company Industry

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