AI Engineer

SINAI Technologies Inc; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A climate technology company in San Francisco is hiring a mid-level AI Engineer to integrate AI-powered features focused on Large Language Models (LLMs) into their platform. The role involves designing, implementing, and operationalizing AI-driven capabilities, while collaborating closely with cross-functional teams. The ideal candidate brings 3+ years in software engineering and relevant experience with AI models and APIs, along with strong coding skills in Python or JavaScript. Join us in solving real-world problems and advancing decarbonization efforts.

Qualifications

• 3+ years of professional software engineering experience, ideally in data-heavy or backend systems.
• 1+ year of experience integrating LLMs into real applications.
• Strong coding skills in Python or TypeScript/JavaScript.

Responsibilities

• Design, build, and integrate LLM-powered features into the platform.
• Implement and iterate on AI-driven workflows.
• Collaborate with Engineering and Product for AI solutions.

Skills

Python

TypeScript

JavaScript

AI/ML libraries

Cloud services

Tools

OpenAI API

LangChain

Hugging Face

PyTorch

TensorFlow

Job description

About SINAI

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.

The Role

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.

What You’ll Do

• 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

Required Qualifications

• 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

Nice to Have

• 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