Senior Generative AI Developer - LLM

Job Title : Senior Generative AI Developer (4 to 7 years experience).

Lead the design and deployment of enterprise-grade generative AI systems, driving innovation in LLM orchestration, multimodal architectures, and scalable AI / ML pipelines.

Own the full lifecycle from research to production, ensuring alignment with business objectives and ethical AI standards.

This will be a hands-on individual contributor role as well as providing technical guidance to junior Responsibilities :

Technical Leadership :

• Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization.
• Design GPU / TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter AI Development :
• Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps.
• Implement enterprise security : VPC peering, private model endpoints, and data residency & Strategy :
• Pioneer GenAI use cases : Agentic workflows, AI-driven synthetic data generation, real-time fine-tuning.
• Establish AI governance frameworks : Model cards, drift monitoring, and red-teaming Impact :
• Partner with leadership to define AI roadmaps and ROI metrics (e.g., $ saved via AI-driven automation).
• Mentor junior engineers and evangelize GenAI best practices across the :

Education : Bachelors / Masters in CS / AI or equivalent industry experience (5+ years in ML, 2+ in Mastery : : Expert-level PyTorch, TensorFlow Extended (TFX), ONNX : Certified in Azure AI Engineer Expert and / or GCP Professional ML Expertise :

Cloud AI experience :

Azure : Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search.

GCP : Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Projects :

Certifications :

Azure : Microsoft Certified : Azure AI Engineer : Google Cloud Professional Machine Learning Engineer.

(ref : hirist.tech)