Senior Generative AI Engineer

Key Responsibilities
Build end-to-end Generative AI pipelines using Python, LangChain, and LangGraph.
Design and implement agentic systems with tools, memory, branching, and recovery flows.
Develop robust RAG systems (document ingestion, embeddings, vector search, hybrid retrieval).
Integrate LLMs with APIs, SQL/NoSQL databases, and cloud storage.
Build and maintain production-grade microservices/APIs for LLM workloads.
Optimize AI systems for latency, throughput, and cost (prompting, caching, batching).
Fine-tune models using LoRA/QLoRA and PEFT techniques.
Implement evaluation, monitoring, guardrails, and hallucination detection.
Collaborate with cross-functional teams to translate workflows into AI-powered features.
Mentor junior engineers and contribute to AI architecture and code quality.
Core Requirements
4+ years of experience as an AI Engineer.
Expert-level Python and strong ML/NLP fundamentals.
Hands-on experience with Transformers, em...