IND Lead Software Engineer

Position Summary 

The Senior AI Engineer will be responsible for designing, building, and deploying Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine on GCP. This role requires deep expertise in GenAI, hands-on experience with Vertex AI, and strong knowledge of GCP services such as Cloud Run, ECS, and Vertex AI Search Engine. The engineer will collaborate with cross-functional teams to deliver AI-driven solutions that align with enterprise architecture and business objectives. 

Key Responsibilities 

AI Solution Development and Delivery 

• Design and implement Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine. 

• Build and deploy AI models leveraging Vertex AI capabilities (e.g., Model Garden, AutoML, Generative AI APIs). 

• Integrate AI agents with enterprise applications and workflows for automation and decision-making. 

• Develop scalable and secure AI services using Cloud Run, ECS, and other GCP components. 

• Optimize AI pipelines for performance, cost efficiency, and reliability. 

• Innovation and Strategy 

• Drive adoption of GenAI and Agentic AI frameworks across business units. 

• Conduct proof-of-concepts (POCs) for emerging AI technologies and frameworks. 

• Collaborate with enterprise architects to ensure AI solutions align with technology strategy and reference architectures. 

• Stay current with AI trends, frameworks, and best practices to propose innovative solutions. 

Collaboration and Enablement 

• Work closely with data scientists, architects, and product teams to deliver AI-driven business capabilities. 

• Provide technical guidance and mentorship to junior engineers on AI development practices. 

• Document AI solution architectures, patterns, and reusable components. 

Expected Results 

• Delivered production-grade Agentic AI solutions aligned with enterprise strategy. 

• Successfully integrated AI agents into business or technical workflows for automation and enhanced decision-making. 

• Improved operational efficiency and customer experience through AI-driven innovation. 

• Established reusable AI patterns and best practices for enterprise adoption. 

Required Skills 

• Experience: 6–8 years in Software Engineering, with at least 2+ years in GenAI and Agentic AI development. 

• Project Delivery: Must have delivered at least one GenAI or Agentic AI project end-to-end. 

• Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, and Vertex AI. 

• Hands-on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking. 

• Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering. 

• Programming Skills: Python, Java, or similar languages for AI development. 

• Strong problem-solving, communication, and collaboration skills.