Description

Design, develop, and deploy Agentic AI systems leveraging A2A and MCP frameworks to build autonomous workflows and multi-agent interactions. Integrate AI agents with customer-facing applications and enterprise systems, ensuring performance, scalability, and reliability. Rapidly prototype and experiment with new ideas, tools, and frameworks, continuously refining approaches. Collaborate closely with product managers, architects, and customer teams to identify use cases and translate requirements into scalable AI solutions. Write clean, efficient, and well-documented code while contributing to best practices and knowledge sharing.

Responsibilities

• Design and deploy Agentic AI systems using A2A and MCP frameworks.
• Build autonomous workflows and multi-agent interactions to improve operational efficiency.
• Integrate AI agents with customer-facing applications and enterprise systems.
• Collaborate with product managers and architects to translate requirements into scalable solutions.
• Prototype new ideas and refine approaches based on testing and feedback.

Required Skills

• Strong understanding of Agentic AI development, including A2A and MCP concepts.
• Hands-on software development experience in Python, Java, or equivalent languages.
• Familiarity with AI/ML frameworks such as LangChain, LlamaIndex, OpenAI, and Anthropic.
• Solid grasp of system integration, APIs, and cloud services.
• Bachelor's degree in Computer Science or related field.
• Minimum 5 years of professional experience.
• Demonstrated problem-solving ability and eagerness to apply new technologies.

Preferred Skills

• Experience staying current on cutting-edge AI research and trends in autonomous agents.
• Excellent communication skills with a customer-first mindset.

Key Skills

Education

Bachelor's degree