Senior Agentic Automation Engineer (2008)

Job Title: Senior Agentic Automation Engineer Location: Bangalore (Hybrid: Minimum 12 workdays WFO per month) Experience: 5 7 Years (Minimum 3 years relevant experience in Agentic Automation) Education: or Graduation in Computer Science Engineering or relevant field About the Role: We are looking for a highly skilled Senior Agentic Automation Engineer with hands-on experience in Python AI/ML engineering and in-depth expertise in Agentic Layer A2A frameworks including MCP Protocol. You will play a critical role in designing developing and deploying innovative AI driven agentic automation solutions leveraging large language models (LLMs) cloud technologies and modern vector databases. Key Responsibilities: • Develop implement and optimize agentic automation workflows using Agentic Layer A2A frameworks and MCP Protocol. • Build scalable AI/ML models with focus on vector embeddings prompt engineering and context engineering. • Design and orchestrate LLMpowered applications and workflows using LangChain and LangGraph. • Write efficient reusable and well tested code primarily in Python and optionally Java. • Architect and deploy cloud native solutions on Microsoft Azure platform including Azure Functions and Azure Container Apps. • Work with various data stores including Azure AI Search VectorDB Redis Cosmos DB Blob Storage and Iceberg. • Collaborate with cross functional teams to build scalable reliable and performant AI automation solutions. • Monitor performance and optimize solutions for scalability and operational excellence. • Stay current with new trends in AI/ML engineering agentic automation frameworks and cloud technologies. Required Skills and Qualifications: Experience: • Minimum 5 years of professional experience in AI/ML engineering with at least 3 years focused on agentic automation. • Technical Expertise: • Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. • Strong AI/ML skills including vector embeddings prompt engineering and context engineering. • Experience using LangChain and LangGraph to build and orchestrate LLMpowered workflows. • Strong programming skills in Python; proficiency in at least one additional language (preferably Java). • Proficient with Azure Cloud services including Azure Functions Azure Container Apps and cloudnative architectures. • Experience working with databases such as Azure AI Search VectorDB Redis and Cosmos DB. Familiarity with Blob Storage and Iceberg is a plus. • Good understanding of performance optimization and scalable software design. Education: Bachelor’s degree in Computer Science Engineering or a related field. Work Mode: Hybrid model based in Bangalore with minimum 12 working days from office per month. Preferred Attributes: • Excellent problem solving and analytical skills. • Strong collaborative and communication skills. • Ability to work independently as well as part of a team. • Passionate about emerging AI technologies and innovation in automation.