Senior AI Engineer
jobgether
Switzerland
Befristet
Diese Anzeige stammt von Lever
Accountabilities
- Deliver end-to-end functionality across a TypeScript/React frontend and Golang backend.
- Build and maintain products designed for integration into third-party platforms and partner ecosystems.
- Develop and improve wallet systems and related flows, with a strong emphasis on correctness, reliability, and security.
- Build and operate game-related systems within certified and audited environments.
- Design, implement, and maintain APIs using GraphQL, gRPC, REST, and other appropriate patterns for internal applications and external integrations.
- Contribute to the architecture and technical evolution of a young, cloud-based platform running primarily on AWS.
- Design and develop reliable event-driven and distributed systems capable of handling concurrency effectively.
- Work with SQL and NoSQL databases, including technologies such as PostgreSQL, Redis, and DynamoDB.
- Use AI-powered development tools as a core part of the software delivery workflow, while applying strong senior-level judgment to review, validate, and verify AI-generated code.
- Help define and improve AI-assisted engineering practices across the wider development team.
- Participate in code reviews, knowledge sharing, and technical discussions to support the growth of other engineers.
- Collaborate within an autonomous, fast-paced product team while working remotely across European time zones or from a designated office environment.
- At least 5 years of professional experience building and shipping production software.
- Strong expertise in either TypeScript/React or Golang, combined with solid competence across the other side of the stack.
- Experience using AI coding tools such as Claude Code, Codex, Cursor, or similar technologies to ship production software on a daily basis.
- Ability to demonstrate practical experience building software with AI-assisted or agentic development workflows.
- Strong interest in driving responsible and effective AI adoption across an engineering team.
- Engineers with strong Java, Kotlin, or C# backgrounds are also welcome if they are motivated to develop Golang expertise.
- Solid understanding of event-driven architectures, distributed systems, concurrency, and scalable software design.
- Experience building and operating services backed by SQL and NoSQL databases, such as PostgreSQL, Redis, and DynamoDB.
- Familiarity with modern API design approaches, particularly GraphQL, gRPC, or REST.
- Professional experience deploying and operating applications in cloud environments such as AWS, Azure, or Google Cloud.
- Pragmatic understanding of testing, with the ability to balance test coverage, development speed, and product risk.
- Strong engineering judgment, problem-solving ability, and attention to correctness and reliability.
- Comfortable working autonomously in a fast-moving environment with minimal bureaucracy and evolving processes.
- Strong communication and collaboration skills, including the ability to contribute effectively through code reviews and knowledge sharing.
- Experience building frontend components that are embedded within third-party products, such as widgets or SDKs, is a plus.
- Experience working with real-money systems is advantageous.
- Knowledge of Kafka, Terraform, or Docker is a plus.
- Fully remote opportunity for candidates working within the European time zone.
- Flexible, autonomous working environment with no rigid or unnecessary processes.
- Opportunity to work on products that are integrated directly into partner platforms.
- Significant technical ownership and the ability to influence the architecture of a growing platform.
- Opportunity to work in an AI-first engineering environment where AI-assisted development is already deeply embedded in the delivery process.
- Chance to help shape AI coding practices and influence how an engineering team adopts emerging development technologies.
- Collaborative product team with strong emphasis on knowledge sharing and peer support.
- Exposure to modern technologies including TypeScript, React, Golang, GraphQL, gRPC, AWS, PostgreSQL, Redis, and DynamoDB.
- Opportunity to work on technically challenging distributed systems and reliability-critical products.
- Potential to work on innovative game and real-money technology operating within certified and audited environments.
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