Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day.

Join the AI Platform: Building Core components to speed up AI delivery

The AI Platform is dedicated to enable AI product delivery by providing other teams with turnkey tools, frameworks, and features so that they can focus on their core business instead of redundant work that falls outside their expertise. The areas covered by the AI Platform are two-fold: allowing teams to quickly design new models (AI development) and generating and serving predictions in production (AI productionization).

We’re looking for problem solvers with an entrepreneurial mindset—people who focus on outcomes and use data to drive decisions. If you're passionate about building software for other developers and applying AI thoughtfully to achieve measurable results for customers, we'd love to hear from you!

The team is composed of engineers, most of whom are fully remote, with different skill sets and backgrounds. Your experience, your knowledge and your perspective will add to this diversity and help the team deliver products that make a difference.

YOU WILL:

• Be a key contributor to the design and development of the AI Platform
• Collaborate with a team that includes a variety of roles ranging from Site Reliability Engineer to Machine Learning specialists with a strong focus on Data Engineering
• Be responsible for the quality and soundness of our data pipelines

YOU MIGHT BE A FIT IF YOU HAVE:

• At least 1 year of full-time professional experience in a software engineering role
• Production experience with Python or Go
• A strong interest in data engineering
• Experience working collaboratively within a team environment
• Exposure to or experience designing and operating data pipelines in production
• Attention to code quality, with a habit of using automated tests and following engineering best practices

NICE TO HAVE:

• Experience with data engineering tools such as Airflow, BigQuery, or similar
• Comfort with at least one major cloud provider (GCP, AWS, or Azure)
• Experience deploying or operating AI/ML models in production environments
• Familiarity with Kubernetes
• Interest in data-informed product development, and experience exploring datasets using SQL

We’re looking for someone who can live our values:

• GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment
• TRUST - Willingness to trust our co-workers and to take ownership 
• CANDOR - Ability to receive and give constructive feedback.
• CARE - Genuine care about other team members, our clients, and the decisions we make in the company.
• HUMILITY- Aptitude for learning from others, putting ego aside.