Generative AI Engineer - LLM Solutions

About The Opportunity :
A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients.We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments.We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems.This is a fully remote role for candidates based in India.Role & Responsibilities :
- Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference.- Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling.- Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows.- Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra.- Define MLOps best practices : CI/CD for models, containerization, observability, automated retraining, drift detection and rollout strategies.- Mentor engineers, conduct code reviews, and collaborate with product & data science to translate research into reliable production systems.Skills & Qualifications :
Must-Have :
- 7+ years software/ML engineering experience with significant time on generative/LLM projects.- Strong proficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable).- Hands-on experience with Hugging Face Transformers, tokenizers, training and fine-tuning workflows.- Proven experience building RAG systems and working with vector stores (FAISS, Milvus, Chroma) and embedding pipelines.- Experience deploying models to production using Docker, Kubernetes, and cloud services (AWS/GCP/Azure).- Solid software engineering practices : unit testing, CI/CD, code reviews, and monitoring for ML systems.Preferred :
- Experience with model compression/acceleration (quantization, distillation), ONNX, or TensorRT.- Familiarity with LangChain or similar orchestration frameworks, agentic workflows, and tool-calling patterns.- Background in prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF) exposure.- Knowledge of data privacy, secure model serving, and compliance controls for enterprise deployments.Benefits & Culture Highlights :
- Fully remote, India-based role with flexible hours and a results-oriented culture.- Opportunity to shape product architecture and scale cutting-edge generative AI for enterprise customers.- Collaborative environment with senior ML engineers, data scientists, and product stakeholdersmentorship and career growth.