Senior Software Engineer – Backend, AI/ML

🔥 12 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 25%

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ClickHouse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 Description

• Design and implement AI-powered features across the full stack, from backend inference services to frontend interfaces within ClickHouse Cloud • Create robust, scalable APIs connecting ClickHouse database capabilities with AI/ML inference systems and external/internal AI services • Implement and maintain integrations with the broader AI/ML ecosystem and standards • Integrate models into production systems with monitoring, versioning, observability, and evaluation • Participate in the daytime on-call rotation • Design and implement developer tools, SDKs, and documentation for ClickHouse AI/ML capabilities

🎯 Requirements

• 5+ years of software engineering experience in production environments • Exposure to working directly with AI/ML technologies • Backend development experience in TypeScript or Python, focused on API design and service architecture • High level of ownership and ability to drive features from concept to production with minimal supervision • Ability to thrive in collaborative environments and effectively communicate technical concepts to diverse stakeholders • Nice to have: Experience integrating and deploying AI/ML models in production systems, including inference APIs and vector databases • Nice to have: Familiarity with AWS, Azure, or GCP, particularly AI/ML deployment services • Nice to have: Understanding of database systems and data processing pipelines; ClickHouse experience is a significant plus

🏖️ Benefits

• Flexible work environment; remote-friendly globally distributed company • Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites

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