Wise

1 day ago

Senior Software Engineer - Generative AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Build and maintain a Generative AI platform that helps teams at Wise rapidly experiment and bring LLM-based systems into production. You’ll run and evolve services and libraries with strong observability and service management, focusing on availability, security, and ease of use. Work closely with product and engineering teams across the Platform Tribe to deliver safe, compliant tooling, guidance, and guardrails for customers’ data.

Location: Tallinn

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain a platform that enables teams to rapidly experiment and bring Generative AI systems into production.
•Provide tooling, guidance, and guardrails so teams can ensure the safety of customers and their data.
•Run and maintain services and libraries, ensuring appropriate observability and service management.
•Iterate continuously on platform services with focus on availability, security, and ease of use.
•Collaborate with product and engineering teams to implement solutions and refine designs based on feedback.

Pay and Benefits

Salary: EUR 7,083.33 - 9,000 monthly

Key Requirements

•8+ years of engineering experience in Python, including putting solutions into production and maintaining them.
•Strong coding standards with test coverage best practices (test pyramid) and writing scalable, clean code.
•Experience deploying microservices to cloud-based systems.
•Ability to design and implement distributed and concurrent systems, including tradeoffs in stateful/stateless and synchronous/asynchronous architectures.
•Knowledge and experience with LLMs, building LLM-based applications, and prompt engineering best practices.

Experience:8+ yearsFinancial servicesLLM applicationsMachine learningGenerative AIMicroservicesPayments

Skills:CommunicationCollaborationSelf-motivationProblem-solvingFeedback mindset

Languages:English

Tech Stack:PythonMicroservicesCloudLLMsLLM-based applicationsAgentic frameworksPrompt EngineeringTypeScriptJavaScriptTerraformGitHub ActionsInfrastructure as CodeAWSDockerKubernetesSemantic SearchRAGMCP

Company Brief

Wise

Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Wise

1 day ago

Senior Software Engineer - Generative AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Tallinn

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain a platform that enables teams to rapidly experiment and bring Generative AI systems into production.
•Provide tooling, guidance, and guardrails so teams can ensure the safety of customers and their data.
•Run and maintain services and libraries, ensuring appropriate observability and service management.
•Iterate continuously on platform services with focus on availability, security, and ease of use.
•Collaborate with product and engineering teams to implement solutions and refine designs based on feedback.

Pay and Benefits

Salary: EUR 7,083.33 - 9,000 monthly

Key Requirements

•8+ years of engineering experience in Python, including putting solutions into production and maintaining them.
•Strong coding standards with test coverage best practices (test pyramid) and writing scalable, clean code.
•Experience deploying microservices to cloud-based systems.
•Ability to design and implement distributed and concurrent systems, including tradeoffs in stateful/stateless and synchronous/asynchronous architectures.
•Knowledge and experience with LLMs, building LLM-based applications, and prompt engineering best practices.

Experience:8+ yearsFinancial servicesLLM applicationsMachine learningGenerative AIMicroservicesPayments

Skills:CommunicationCollaborationSelf-motivationProblem-solvingFeedback mindset

Languages:English

Company Brief

Wise

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor