GenAI Engineer
- Xebia It Architects
- 5 - 10 years
- Pune
- 6 days ago
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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 technology 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Production, Manufacturing & EngineeringRole Category: EngineeringRole: Engineering - OtherEmployement Type: Full timeContact Details:
Company: Xebia It ArchitectsLocation(s): Pune
Keyskills: GenAI Agentic Ai Ml
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