Lead/Staff Engineer - Applied AI
Core
Lead the development of intelligent LLM-powered AI agents and Generative AI systems for customer-facing automation, personalized communication, and operational workflows.
Role type
Staff/Lead Applied AI Engineer (Generative AI & Agents)
Builds
Autonomous AI agents, RAG systems, and scalable GenAI infrastructure (via careerplan.io/jobs/22896635-b5b9-45bf-97e5-523ee3ce07f8-leadstaff-engineer-applied-ai-at-jobgether)
Domain
Generative AI, Large Language Models, Agent Architecture, Data Science
Deliverable
production ML models
Required skills
LLM fine-tuning, RAG system design, vector search, agent orchestration (LangChain), Python, MLOps, cloud-native deployment (GCP/AWS), data science (causal inference, time-series), prompt engineering
Preferred skills
TypeScript, open-source model expertise, multi-step tool-augmented agents
Technologies
PyTorch, Hugging Face Transformers, FAISS, Pinecone, Weaviate, LangChain, GCP, AWS
Responsibilities
Architect and deploy autonomous AI agents for complex workflows; Design and scale RAG systems and vector search infrastructure; Develop and refine prompt engineering and agent tool-use strategies; Partner with teams to build reusable GenAI infrastructure; Establish evaluation processes for agent performance and hallucination rates; Lead initiatives from prototype to production; Mentor engineers and influence AI strategy
Seniority
Staff/Lead, hands-on IC with strategic influence
