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Lead Agentic AI Engineer - GenAI & Multi-Agent Systems

Artmac

San Jose (CA)

On-site

USD 160,000 - 250,000

Full time

7 days ago
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Job summary

A leading technology consulting company is seeking a Lead Agentic AI Engineer to design and deploy innovative AI solutions. The ideal candidate will have extensive experience in agent frameworks and cloud integrations, and will play a pivotal role in leading a team to enhance AI capabilities. This position offers the chance to work in a collaborative environment and drive cutting-edge technology with a focus on AI systems.

Qualifications

  • 8-15 years of experience in AI engineering.
  • Proven experience with agent frameworks and Python.
  • Strong understanding of AI/ML algorithms.

Responsibilities

  • Design, build, and deploy agent-based systems using GenAI frameworks.
  • Architect collaboration workflows in multi-agent systems.
  • Lead and mentor a team of AI engineers.

Skills

Agentic frameworks
Langchain
Langgraph
LlamaIndex
Python programming
AI/ML concepts
Cloud integration (AWS, Azure, Google Cloud)
Multi-agent systems
Agile environments
Problem-solving

Education

Bachelor’s in engineering, Computer Science, or related field

Job description

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

Who We Are

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

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

  • Bachelor’s in engineering, Computer Science, or any other related Field.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Software Development

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