AI Engineer

SINAI is a San Francisco–based climate technology company helping enterprises measure, analyze, and reduce carbon emissions. Our platform supports complex reporting, modeling, and regulatory workflows that enable companies to meet ambitious decarbonization targets.

We value ownership, collaboration, and pragmatic execution. We look for people who enjoy solving real-world problems, making thoughtful tradeoffs, and shipping reliable software in a fast-moving environment.

We’re hiring a mid-level AI Engineer to help build and integrate AI-powered features into our platform, with a strong focus on Large Language Models (LLMs).

In this role, you’ll work closely with Software Engineers, Product Managers, and Data-focused teammates to design, implement, and operate AI-driven capabilities. You won’t be defining company-wide AI strategy, but you will have meaningful ownership over implementation details, experimentation, and production quality.

This is a hands-on role focused on turning AI capabilities into reliable, customer-facing features.

• →Design, build, and integrate LLM-powered features into SINAI’s platform
• →Implement and iterate on AI-driven workflows that improve user experience and automate processes
• →Evaluate and compare AI models to determine fit for specific product use cases
• →Help deploy, monitor, and operate AI/ML features in production environments
• →Collaborate with Engineering and Product to translate requirements into working AI solutions
• →Contribute to experimentation, prototyping, and incremental improvement of AI capabilities
• →Stay current with new tools, models, and best practices in applied AI

• 3+ years of professional software engineering experience, ideally in data-heavy or backend systems
• 1+ year of hands-on experience integrating LLMs into real applications (production or near-production)
• Experience working with modern AI models and APIs (e.g., OpenAI, Anthropic, Meta, or similar)
• Strong coding skills in Python or TypeScript/JavaScript
• Familiarity with AI/ML libraries or frameworks (e.g., LangChain, Hugging Face, PyTorch, TensorFlow)
• Experience deploying and supporting services in a cloud environment (AWS, GCP, or Azure)
• Solid problem-solving skills and ability to work effectively with partial requirements
• Professional proficiency in written and spoken English

• Experience integrating OpenAI or similar APIs in a production environment
• Familiarity with vector databases and retrieval-augmented generation (RAG) patterns
• Exposure to AWS AI/ML services (e.g., Bedrock, SageMaker)
• Experience improving user workflows using AI or automation
• Experience working in SaaS products or startup environments
• Interest in climate, sustainability, or data-intensive domains