Overview
On Site
Depends on Experience
Full Time
Skills
AI/ML
servicenow
ETL
LLM
Python
Node.js
PyTorch
devOps
ITSM
Job Details
Architect and deploy scalable AI systems leveraging LLMs (GPT, LLaMA, Claude, etc.)
- Build and fine-tune SLMs/LLMs using domain-specific data (e.g., ITSM, security, operations)
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines with vector DBs (e.g., FAISS, Chroma, Weaviate, Pinecone)
- Develop agent-based architectures using LangGraph, AutoGen, CrewAI, or custom frameworks
- Integrate AI agents with enterprise tools (ServiceNow, Jira, SAP, Slack, etc.)
- Optimize model performance (quantization, distillation, batching, caching)
- Collaborate with DevOps and MLOps teams to build CI/CD pipelines for models and agents
- Conduct code and research reviews, mentor junior engineers, and contribute to technical strategy
- 5 8 years of hands-on experience in AI/ML/Deep Learning
- Strong coding skills in Python (must), familiarity with Node.js, Go, or Rust is a plus
- Proficient with PyTorch or TensorFlow
- Deep understanding of transformer architectures, embeddings, and attention mechanisms
- Experience with LangChain, Transformers (HuggingFace), or LlamaIndex
- Working knowledge of LLM fine-tuning (LoRA, QLoRA, PEFT) and prompt engineering
- Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Chroma)
- Cloud experience on Azure, AWS, or Google Cloud Platform (Azure preferred)
- Experience with Kubernetes, Docker, and scalable microservice deployments
- Experience integrating with REST APIs, webhooks, and enterprise systems (ServiceNow, SAP, etc.)
Solid understanding of data pipelines, ETL, and structured/unstructured data ingestion
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.