Applied AI Engineer
Core
Build an agentic pipeline for software development and ship customer-facing AI features using VLMs and LLMs for energy recommendations and internal productivity tools.
Role type
Applied AI Engineer (IC)
Builds
Agentic software development pipeline, customer-facing AI features, internal AI agents and tools
Domain
Energy sector, Applied AI, LLMs, VLMs
Deliverable
production ML models
Required skills
Python, LLM/VLM deployment, cloud infrastructure, containerization, AI system evaluation, multi-agent systems, workflow orchestration
Preferred skills
PyTorch, TensorFlow, forecasting, energy markets, fine-tuning, RL, vision/NLP pipelines, agent runtimes
Responsibilities
Ship AI features for customers (personalized recommendations, onboarding), build LLM applications and agents for support and operations, build cloud infrastructure and access control, own model evaluation and testing, choose models based on performance/latency/cost, collaborate with trading and operations teams, monitor production AI systems
Seniority
Mid-level, hands-on IC
