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 :

Preferred :

Benefits & Culture Highlights :

To apply, you should be passionate about bringing advanced generative models into production, comfortable with both research-to-production translation and the operational discipline required to run mission-critical AI systems.

(ref : hirist.tech)