Applied AI Engineer - Enterprise Solutions
Core
Research and deploy Gen AI/ML solutions for enterprise customers while standardizing bespoke solutions into reusable internal tooling and best practices.
Role type
Senior Applied AI Engineer (Customer-Facing)
Builds
Custom Gen AI and machine learning solutions (RAG, fine-tuning, agentic workflows) for enterprise clients
Domain
Enterprise AI / Generative AI / Applied Machine Learning
Deliverable
production ML models | product features | client delivery
Required skills
Python (software engineering fundamentals, type safety, testing, orchestration), Gen AI/ML stack (LLMs, RAG, fine-tuning, agents), customer-facing solution design, stakeholder management, technical enablement
Preferred skills
Strategic initiative leadership, executive presentation skills, fast-paced multi-project management
Technologies
Python, PyTorch, Hugging Face Transformers, FAISS, pandas, Spark, Chroma, Weaviate, LlamaIndex, LangGraph, CrewAI, FastAPI, Ray, Airflow, msgspec, pydantic, pytest, poetry
Responsibilities
Partner with customers to build and deploy Gen AI/ML solutions from scoping to deployment; Develop and implement state-of-the-art AI systems (RAG, fine-tuning, prompt engineering, agentic workflows); Create augmented datasets and evaluation workflows; Forge relationships with customer leadership; Collaborate with pre-sales to map needs to capabilities; Standardize solutions and contribute to internal tooling; Lead stakeholder education workshops; Serve as customer voice for new AI paradigms
Seniority
Senior, hands-on IC with customer-facing focus
