Applied AI Engineer
Core
Build an agentic pipeline (Product Factory) to automate software development and ship customer-facing AI features using VLMs and LLMs for the energy sector.
Role type
Applied AI Engineer (IC)
Builds
Agentic software development pipeline, customer-facing AI features, internal AI tools and agents
Domain
Energy, Applied AI, Software Engineering
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 internal teams, Build cloud infrastructure and access control for AI systems, Own evaluation of AI models (datasets, A/B tests), Choose models based on performance/latency/cost, Monitor AI systems in production
Seniority
Mid-Senior, hands-on IC
