Generative AI Engineer

1 week ago

Gurgaon, Haryana, India Zorba Consulting Full time ₹ 12,00,000 - ₹ 24,00,000 per year

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.

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