via Lever · 10 de setembro de 2026 ·há 9 dias

Senior AI Engineer

jobgether
Portugal Contrato a prazo
Este anúncio é de Lever
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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.
Requirements
  • 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.
Benefits
  • 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.

O mercado para este tipo de cargo

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