Senior AI Engineer

Job Description: Senior AI Engineer – Agentic AI Solutions

Location: Hyderabad, India

Employment Type: Full-Time

Experience Level: 3-9 Years

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: 3–9 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.

Nice to Have Skills

• Cloud Certifications: GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred.

What We Offer

• Opportunity to work on advanced cloud automation and AI technologies. • Collaborative and innovative work environment. • Competitive compensation and comprehensive benefits. • Continuous learning and professional development opportunities.