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Senior Staff Engineer, Agentic AI at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior Staff Engineer, Agentic AI. in . India. .. We are seeking a highly experienced AI engineer to architect and implement production-grade Agentic AI solutions. In this role, you will lead the design, development, and scaling of generative AI systems, working closely with product and engineering teams to translate complex business needs into AI-driven solutions. You will be responsible for fine-tuning, evaluation, and deployment of LLM-based architectures, ensuring enterprise-grade performance, reliability, and maintainability. The ideal candidate is hands-on, proficient in Python and modern AI/ML libraries, and experienced in building robust, scalable GenAI systems in live enterprise environments. Your contributions will directly impact the delivery of innovative AI products and the efficiency of AI workflows. This is a high-impact role in a dynamic, collaborative environment where cutting-edge AI solutions are developed end-to-end.. . Accountabilities:. Architect, design, and implement end-to-end Agentic AI and GenAI solutions.. Develop and productionize LLM-based systems with scalable infrastructure on Azure or AWS.. Implement RAG architectures, prompt engineering, fine-tuning, and model evaluation pipelines.. Build and expose APIs using FastAPI, integrating with databases via ORMs (e.g., SQLAlchemy, Tortoise ORM).. Collaborate with product and engineering teams to convert business requirements into AI-driven solutions.. Conduct POCs, review designs, and ensure adherence to best practices for scalability, reliability, and maintainability.. Mentor engineers, contribute to open-source GenAI projects, and promote knowledge sharing within the team.. Monitor, evaluate, and optimize deployed AI systems for performance, accuracy, and efficiency.. . 10+ years of experience in AI/ML engineering with a focus on LLMs (e.g., GPT, Llama, Claude, Gemini).. Expert in Python and AI/ML libraries (PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, Scikit-learn).. Proven experience implementing RAG architectures, prompt engineering, fine-tuning, and distillation techniques.. Strong experience in cloud-native AI deployment on Azure or AWS, including managed AI/ML services.. Proficiency with vector databases (Weaviate, Neo4j) and GenAI evaluation metrics (BLEU, ROUGE, perplexity, semantic similarity).. Production experience with scaling GenAI/Agentic AI systems for enterprise workloads.. Hands-on experience with FastAPI, ORMs, and API integrations.. Knowledge of Model Context Protocol (MCP) and contributions to open-source AI projects are a plus.. Familiarity with front-end frameworks (React or similar) for building AI-integrated interfaces is beneficial.. Strong communication, collaboration, and mentoring skills across cross-functional teams.. Bachelor’s or Master’s degree in Computer Science, IT, or a related field. Company Location: India.