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: 39 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.
