Lead Generative AI Engineer

As a Lead Generative AI Specialist, you will be responsible for:

• Engineering and deploying production‑ready generative AI solutions, including LLMs, VLMs, and multimodal models, with a strong emphasis on inference, scalability, and reliability.
• Designing and operating LLM Ops pipelines, including model versioning, fine‑tuning, evaluation, deployment, rollback, and lifecycle management.
• Building and maintaining AI platforms and services that support prompt management, embeddings, vector search, retrieval‑augmented generation (RAG), and tool‑calling workflows.
• Integrating generative AI capabilities into enterprise applications using APIs, microservices, and event‑driven architectures.
• Implementing MLOps best practices, including CI/CD for models, automated testing, performance benchmarking, observability, logging, and cost monitoring.
• Optimizing model performance across latency, throughput, accuracy, and cost using techniques such as quantization, catching, batching, and model routing.
• Collaborating with cloud, data, security, and product teams to ensure solutions meet enterprise standards for security, governance, and responsible AI.
• Producing clear technical documentation and operational runbooks and communicating delivery status and business value to stakeholders.
  • Mentoring engineers and contributing to reusable frameworks, standards, and platform capabilities.