AI/ML Engineers
Core
Design, build, and deploy production LLM-powered applications, agentic workflows, and RAG pipelines for enterprise platforms.
Role type
Senior Applied AI/ML Engineer (LLM & Agentic Systems)
Builds
LLM-based applications, multi-agent workflows, and RAG systems integrated into enterprise platforms
Domain
Enterprise AI, Large Language Models, Agentic Workflows
Deliverable
production ML models
Required skills
LLM deployment, RAG pipeline design, vector search, agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), Python, MLOps, cost/performance optimization
Preferred skills
Regulated environment experience, AI governance, document intelligence, NLP-heavy systems
Technologies
Python, LangChain, LlamaIndex, AutoGen, CrewAI, Vector Databases
Responsibilities
Build and deploy LLM-powered applications and agentic workflows; Design and implement RAG pipelines, embeddings, and vector search; Develop end-to-end ML/LLM pipelines from data ingestion to inference; Productionize AI systems with cost controls and observability; Integrate AI solutions into enterprise workflows; Collaborate with product and governance teams for responsible AI
Seniority
Senior, hands-on IC
