AI Engineer
Core
Designing and deploying end-to-end AI/ML systems from proof-of-concept to production for Climate Tech clients.
Role type
Mid-level AI Engineer (hands-on IC)
Builds
Production-grade AI/ML applications, model APIs, and deployment pipelines for client infrastructure.
Domain
Climate Tech / Data & AI
Deliverable
production ML models | product features
Required skills
Python, SQL, Git, Cloud platforms (AWS/Azure/GCP), MLOps/LLMOps, Containerization (Docker/Kubernetes), ETL/ELT, LLM/Agentic architectures
Preferred skills
Experience with RAG, tool-use, multi-agent systems, Feature stores, Model monitoring
Technologies
Python, SQL, Git, AWS, Azure, GCP, Docker, Kubernetes, ETL/ELT tools
Responsibilities
Own feature or deployment pipelines on client projects; Spearhead adoption of MLOps/LLMOps best practices; Collaborate with Data Scientists and Software Engineers to design data pipelines and model APIs; Translate technical findings into actionable insights for non-technical stakeholders
Seniority
Mid-level, growth-oriented IC