Agentic AI Engineer

📋 Description Architect and build scalable Generative AI and agentic AI applications, end to end Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous Select, customize, fine-tune, and optimize state-of-the-art LLMs Design and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle management Build APIs, microservices, and integration frameworks to bring AI into enterprise products 🎯 Requirements 6+ years in traditional ML, including 2+ years hands-on with Generative AI Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems Real-world experience with LangChain/LangGraph or similar agentic frameworks Strong Python skills — API wrappers, third-party integrations, internal tooling Solid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learn Experience with NLP, embedding models, and vector databases 🎁 Benefits LLM fine-tuning experience (LoRA, RLHF, PEFT) Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation) AI observability/monitoring tool experience Familiarity with AI governance and compliance (GDPR, SOC 2) Prior consulting or solution-architecture experience shipping enterprise AI products Background in financial services, healthcare, or insurance