Agentic AI Developer
San Leandro, CA Onsite
Contact W2
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.
Note:
In Person interview with customer is mandatory.
The role requires strong knowledge of
Agentic AI development , including expertise in
Agent-to-Agent (A2A) orchestration
and
Model Context Protocol (MCP) . The ideal candidate will have excellent problem-solving abilities, strong software development skills, and the drive to learn quickly, experiment, and implement advanced AI solutions that deliver real business impact for customers.
Key Responsibilities
Design, develop, and deploy
Agentic AI systems
leveraging A2A and MCP frameworks.
Build
autonomous workflows
and multi-agent interactions that improve customer experiences and operational efficiency.
Collaborate closely with product managers, architects, and customer teams to
identify use cases and translate requirements into scalable AI solutions .
Rapidly
prototype and experiment
with new ideas, tools, and frameworks, continuously refining approaches.
Integrate AI agents with
customer-facing applications
and enterprise systems, ensuring performance, scalability, and reliability.
Stay current on
cutting-edge AI research, tools, and trends
(especially in autonomous agents and orchestration).
Write clean, efficient, and well-documented code, while contributing to best practices and knowledge sharing.
Skills required:
Strong understanding of
Agentic AI development , including A2A and MCP concepts.
Hands-on experience in
software development
(Python, Java, or equivalent).
Familiarity with
AI/ML frameworks
(LangChain, LlamaIndex, OpenAI, Anthropic, etc.).
Solid grasp of
system integration, APIs, and cloud services . xsgimln
Demonstrated
problem-solving ability
and eagerness to learn and apply new technologies.
Excellent communication skills and a