Algolia

Algolia is a leader in AI Search, providing an AI Search API used by thousands of customers. This Junior Developer Support Engineer role involves assisting technical users with implementing Algolia's products across various technical stacks, handling technical requests, troubleshooting, and collaborating with customer success, product, and engineering teams. The role requires strong problem-solving skills, experience with web development and REST APIs, and knowledge of programming languages.

Senior UI Software Engineer on the Connectors Platform Team at Algolia, focusing on building user-facing products for data ingestion, transformation, and enrichment to integrate with Algolia's AI Search platform. The role involves designing and building AI-assisted UIs, owning the end-to-end user experience, and contributing to the product roadmap.

Algolia is seeking a Customer Success Engineer to help customers adopt, implement, and scale their AI Search platform. The role involves technical onboarding, solution design, best-practice guidance, and hands-on implementation support, working with customers to design performant, scalable solutions. The engineer will also support Professional and Expert Foundation offerings, acting as a technical owner for accounts and ensuring smooth delivery through clear communication and documentation. This role requires functional knowledge of programming languages, experience with APIs and web development, and strong communication skills to explain complex technical concepts.

Customer Success Engineer role focused on ensuring customer adoption and successful implementation of Algolia's AI Search platform. Responsibilities include technical onboarding, solution design, best-practice guidance, and hands-on support, acting as a technical consultant and product expert for assigned accounts. Requires programming language knowledge, API experience, and strong communication skills.

This role is a Solutions Engineer at Algolia, a company specializing in AI Search. The primary focus is on the technical pre-sales relationship, helping prospects and customers evaluate and adopt Algolia's platform. Responsibilities include demonstrating the product, addressing technical objections, building prototypes, and acting as a liaison between customers and internal Product/Engineering teams. The role requires strong technical expertise, consultative skills, and the ability to translate complex concepts into business value. While the company is in AI Search, the role itself is customer-facing and pre-sales, not directly building AI models.

Algolia is seeking a Senior Solutions Engineer who will be responsible for the technical pre-sales relationship with prospects and customers, demonstrating the product, addressing technical objections, and delivering consultative solutions. The role involves building prototypes, integrations, and acting as a liaison between customer needs and internal Product and Engineering teams. The company leads in AI Search, powering billions of search requests for businesses.

Senior Software Engineer, Growth (Fullstack) at Algolia, a company specializing in AI Search. The role focuses on shaping user experience, building a new Growth platform, mentoring engineers, and introducing best practices. Responsibilities include developing innovative solutions, executing experiments, collaborating with product/design, and improving engineering processes. Requires experience with server-side languages (Ruby, Golang) and full-stack development (JavaScript, TypeScript, React, HTML/CSS).

Senior Software Engineer role at Algolia, a leader in AI Search, focusing on the Digital Merchandising Product team. The role involves full-stack development, architecting and implementing new products, and ensuring the quality, reliability, and availability of merchandising services. The company is in a high-growth phase with a large customer base and significant ARR.

Senior Site Reliability Engineer to join the AI Research team, focusing on the stability, scalability, and operability of the infrastructure that supports AI research and product engineering. The role is classic SRE on cloud-first, service-oriented architectures on GCP, with no AI/ML experience required. Responsibilities include platform reliability, embedded collaboration with researchers and engineers, and cloud infrastructure operations.

Senior UI Software Engineer on the Connectors Platform Team at Algolia, focusing on building user-facing products for data ingestion, transformation, and enrichment to integrate with Algolia's AI Search platform. The role involves designing and building AI-assisted UIs, owning the end-to-end user experience, and contributing to the product roadmap.

Senior Software Engineer role focused on the design, development, and operation of Metis, a cloud-based scalable architecture for Algolia's AI search engine (NeuralSearch), which combines keyword and vector search. The role involves working with complex distributed systems, large datasets, and high traffic, with a focus on system quality and operational responsibilities.

Senior Software Engineer for Algolia's Metis team, responsible for the cloud-based scalable architecture of their AI search engine (NeuralSearch), which combines keyword and vector search. The role involves designing, developing, and operating distributed systems that build and query indices for search results, handling large datasets and high traffic at internet scale.

Software Engineer role on the Metis team at Algolia, responsible for the cloud-based scalable architecture for NeuralSearch (AI search engine). The role involves designing, developing, and operating distributed systems that build and query indices for keyword and vector search. Focus is on complex distributed systems, large datasets, and high traffic.

This role is for a Senior Site Reliability Engineer at Algolia, a company specializing in AI Search. The primary focus is on operating and improving the reliability, scalability, and cost-efficiency of Algolia's Search products. Responsibilities include building automated incident response, improving system reliability and performance, monitoring SLOs, reducing toil, and managing incidents. The role requires experience in operating scalable architectures, programming skills, API experience, cloud provider familiarity (GCP, AWS, Azure), and Linux system administration.