Job Title Generative AI Engineer Role Overview We are looking for a highly skilled Generative AI Engineer with deep experience in building and deploying AI agent-based systems Retrieval-Augmented Generation RAG frameworks and working with large language models LLMs The ideal candidate will bring hands-on experience with AWS Bedrock and other Gen AI platforms with a proven ability to fine-tune foundation models and develop domain-specific LLMs This role offers the opportunity to work at the forefront of applied AI solving real-world problems through intelligent adaptive and scalable AI solutions Key Responsibilities AI Agent Development Design and implement multi-agent AI systems capable of orchestrating reasoning planning and task execution using LLMs RAG Frameworks Build and optimize Retrieval-Augmented Generation pipelines using vector databases and LLMs to improve contextual understanding and response generation LLM Fine-Tuning Customization Fine-tune and customize foundation models e g Claude Llama Titan Falcon for enterprise-specific use cases and domains Infrastructure Integration Leverage AWS services including Bedrock SageMaker Lambda Step Functions to scale and deploy generative AI solutions efficiently and securely Model Evaluation Governance Define accuracy metrics evaluate model performance and ensure compliance with security privacy and ethical standards Collaboration and team management Work closely with product managers data scientists MLOps engineers and domain SMEs to translate business needs into scalable Gen AI applications Required Skills Strong experience with Gen AI ecosystems - including Bedrock HuggingFace LangChain or similar Proven expertise in LLM fine-tuning prompt engineering and building domain-specific models Hands-on experience with agentic AI systems and RAG architecture e g using tools like LangGraph Haystack or DSPy Solid programming experience in Python and frameworks such as PyTorch or TensorFlow Experience with vector databases e g FAISS Pinecone Weaviate for retrieval components Familiarity with AWS AI ML stack including security and deployment best practices Preferred Qualifications Master s or PhD in Computer Science Machine Learning or a related field Minimum 5 years of experience in building AI ML projects Experience building AI-powered copilots assistants or autonomous agents in real-world production environments Knowledge of LLM evaluation techniques model distillation and optimization Robust understanding of LLM limitations hallucinations and guardrails Excellent problem-solving and communication skills with the ability to convey complex AI concepts to non-technical audiences

📌 Manager (Maharashtra)
🏢 EXL Service
📍 Maharashtra