Cloud AI Engineer We re looking for a highly skilled and experienced Cloud AI Engineer to join our dynamic team In this role you ll be instrumental in designing developing and deploying cutting-edge artificial intelligence and machine learning solutions leveraging the full suite of Google Cloud Platform GCP services Objectives of this role Lead the end-to-end development cycle of AI applications from conceptualization and prototyping to deployment and optimization with a core focus on LLM-driven solutions Architect and implement highly performant and scalable AI services effectively integrating with GCP s comprehensive AI ML ecosystem Collaborate closely with product managers data scientists and MLOps engineers to translate complex business requirements into tangible AI-powered features Continuously research and apply the latest advancements in LLM technology prompt engineering and AI frameworks to enhance application capabilities and performance Responsibilities Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI ensuring robust API design security and scalability Design and implement end-to-end LLM pipelines encompassing data ingestion processing model inference and output generation Utilize Google Cloud Platform GCP services extensively including Vertex AI Generative AI Model Garden Workbench Cloud Functions Cloud Run Cloud Storage and BigQuery to build train and deploy LLMs and AI models Expertly apply prompt engineering techniques and strategies to optimize LLM responses manage context windows and reduce hallucinations Implement and manage embeddings and vector stores for effective information retrieval and Retrieval-Augmented Generation RAG patterns Work with advanced LLM orchestration frameworks such as LangChain LangGraph Google ADK and CrewAI to build sophisticated multi-agent systems and complex AI workflows Integrate AI solutions with other enterprise systems and databases ensuring seamless data flow and interoperability Participate in code reviews establish best practices for AI application development and contribute to a culture of technical excellence Keep abreast of the latest advancements in GCP AI ML services and broader AI ML technologies evaluating and recommending new tools and approaches Required skills and qualifications Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications particularly those involving Large Language Models LLMs Strong programming proficiency in Python with significant experience in developing web APIs using FastAPI Demonstrable expertise with Google Cloud Platform GCP specifically with services like Vertex AI Generative AI AI Platform Cloud Run Functions and Cloud Storage Proven experience in prompt engineering including advanced techniques like few-shot learning chain-of-thought prompting and instruction tuning Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures Hands-on experience with at least one major LLM orchestration framework e g LangChain LangGraph CrewAI Solid understanding of software engineering principles including API design data structures algorithms and testing methodologies Experience with version control systems Git and CI CD pipelines Preferred skills and qualifications Bachelor s or Master s degree in Computer Science Good to have Experience with MLOps practices for deploying monitoring and maintaining AI models in production Understanding of distributed computing and data processing technologies Contributions to open-source AI projects or a strong portfolio showcasing relevant AI LLM applications Excellent analytical and problem-solving skills with a keen attention to detail Strong communication and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders

📌 Lead Assistant Manager (Uttar Pradesh)
🏢 EXL Service
📍 Uttar Pradesh