AI Engineer

SINAI Technologies Inc; Brasil; Presencial; USD 80.000 - 100.000; Tempo integral

Resumo da oferta

An innovative technology startup is seeking a Senior AI Engineer to lead the integration of Large Language Models into their platform. This exciting role involves developing AI-powered features, optimizing models, and collaborating with cross-functional teams to drive impactful AI solutions in the climate sector. As part of a mission-driven organization, you will be at the forefront of technological advancements, shaping the future of how businesses engage with carbon reduction strategies. If you are passionate about AI and eager to make a difference in tackling climate change, this is the perfect opportunity for you.

Qualificações

• 6+ years of software engineering experience with a focus on data or ML.
• 2+ years of experience integrating LLMs into production applications.

Responsabilidades

• Design and integrate LLM-driven functionalities into the platform.
• Collaborate with teams to drive AI initiatives and enhance user experience.

Conhecimentos

Software Engineering

Machine Learning

Python

TypeScript

Problem-Solving

Ferramentas

OpenAI

Hugging Face

PyTorch

TensorFlow

AWS

GCP

Azure

Descrição da oferta de emprego

About Us

Want to work on tackling climate change? We are SINAI, a San Francisco-based technology startup focused on transforming the way companies price, analyze, and reduce carbon emissions around the world. We are passionate about technology and the environment.

Our mission is to enable companies to meet their carbon reduction targets in the most efficient way possible, transforming the way they interact with their own business, their value chain, and the environment.

We value building an inclusive and mindful environment made up of people who take ownership while being respectful, proactive, and data-driven.

The Role

We are hiring our first Senior AI Engineer to integrate cutting-edge Large Language Models (LLMs) into our platform and drive AI innovation in climate solutions. In this role, you’ll help shape SINAI’s AI strategy, working closely with engineering and product teams to build intelligent, high-impact AI-powered features.

• Develop AI-Powered Features: Design, build, and integrate LLM-driven functionalities to enhance our platform.
• Model Evaluation & Optimization: Assess different AI models to determine the best fit for various use cases.
• Deploy & Scale AI Systems: Ensure AI/ML features are robust, scalable, and production-ready.
• Enhance User Experience: Use AI to improve user workflows, automate processes, and provide intelligent insights.
• Collaborate Across Teams: Work closely with software engineers, product managers, and data scientists to drive AI initiatives.
• Stay on the Cutting Edge: Research and experiment with new AI technologies to continuously improve our product.

What We’re Looking For

Must-Haves:

• 6+ years of software engineering experience, preferably leveraging data or machine learning to enhance applications.
• 2+ years of experience integrating LLMs into production applications.
• Deep knowledge of OpenAI, Meta, Anthropic and other AI models (GPT-4, Claude, Llama, Mistral, etc).
• Strong coding skills in Python or TypeScript/JavaScript, with experience in AI/ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
• Experience deploying AI/ML solutions in production on cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and ability to work autonomously in a fast-paced environment.

Nice to Haves:

• Experience with AWS Machine Learning services (SageMaker, Bedrock, etc.).
• Knowledge of vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) techniques.
• Integrated OpenAI’s API in a production application
• Experience applying ML solutions to improve user experience and automate workflows.
• Prior experience working in startups or high-growth tech environments.

Salary $80,000 - $100,000 USD

The offered salary or salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills and expertise, and location of the position.

Join us in driving innovation and making a difference in the fight against climate change!