Senior AI Engineer
Core
Design, train, optimize, and deploy domain-specialized language models (prompts and fine-tuned SLMs) for enterprise automation in healthcare and insurance.
Role type
Senior AI Engineer (LLM/Prompt Engineering & SLM)
Builds
Production-grade prompt architectures, fine-tuned Small Language Models (SLMs), and RAG pipelines for enterprise workflows.
Domain
Healthcare and Insurance / Enterprise Automation / Regulated AI Systems
Deliverable
production ML models
Required skills
Prompt Engineering for 7B–13B models, LLM fine-tuning (LoRA, QLoRA, adapters), model distillation, PyTorch engineering, transformer architecture understanding, GPU-based training/inference, Docker/Kubernetes deployment, RAG architectures, data privacy and AI auditability design
Preferred skills
Experience with 8B-class models (LLaMA, Mistral, Qwen), building evaluation datasets and benchmarking frameworks, instruction tuning and supervised fine-tuning (SFT) pipelines, multimodal system collaboration
Technologies
LLaMA, Mistral, Qwen, PyTorch, Hugging Face, Accelerate, DeepSpeed, Triton, Docker, Kubernetes
Responsibilities
Design production-grade prompt architectures for 8B-class models; Develop structured prompts for enterprise tasks such as classification, extraction, reasoning, and summarization; Optimize prompts for accuracy, latency, and cost efficiency; Build prompt evaluation frameworks to measure accuracy, hallucination rates, and consistency; Design reusable prompt libraries and prompt templates for enterprise workflows; Develop prompt-to-model migration strategies converting high-performing prompts into fine-tuned SLMs; Design and fine-tune LLMs for domain-specific enterprise tasks; Develop Small Language Models (SLMs) optimized for enterprise deployment; Build instruction tuning and supervised fine-tuning (SFT) pipelines; Design evaluation datasets and automated benchmarking frameworks; Implement retrieval augmented generation (RAG) pipelines and tool-augmented workflows; Collaborate with speech AI and document AI teams to build multimodal systems; Deploy models in private cloud or on-premise environments with strong security controls
Seniority
Senior, hands-on IC