Job
Description
About Xebia Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in t echnology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses. Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific. Job Title: Generative AI Engineer Exp: 5 9 yrs Location: Bengaluru, Chennai, Gurgaon & Pune Job Summary: We are seeking a highly skilled Generative AI Engineer with hands-on experience in developing and deploying cutting-edge AI solutions using AWS, Amazon Bedrock, and agentic AI frameworks. The ideal candidate will have a strong background in machine learning and prompt engineering, with a passion for building intelligent, scalable, and secure GenAI applications. Key Responsibilities: Design, develop, and deploy Generative AI models and pipelines for real-world use cases. Build and optimize solutions using AWS AI/ML services , including Amazon Bedrock , SageMaker, and related cloud-native tools. Develop and orchestrate Agentic AI systems , integrating autonomous agents with structured workflows and dynamic decision-making. Collaborate with cross-functional teams including data scientists, cloud engineers, and product managers to translate business needs into GenAI solutions. Implement prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques to optimize model performance. Ensure robustness, scalability, and compliance in GenAI workloads deployed in production environments. Required Skills & Qualifications: Strong experience with Generative AI models (e.g., GPT, Claude, Mistral, etc.) Hands-on experience with Amazon Bedrock and other AWS AI/ML services . Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen, or similar. Solid understanding of cloud-native architectures and ML Ops on AWS. Proficiency in Python and relevant GenAI/ML libraries (Transformers, PyTorch, LangChain, etc.) Familiarity with security, cost, and governance best practices for GenAI on cloud. Preferred Qualifications: AWS certifications (e.g., AWS Certified Machine Learning Specialty ) Experience with LLMOps tools and vector databases (e.g., Pinecone, FAISS, Weaviate) Background in NLP, knowledge graphs, or conversational AI. Why Join Us? Work on cutting-edge AI technologies that are transforming industries. Collaborative and innovative environment. Opportunities for continuous learning and growth.
