Tech Lead, Java – AI Focus

🕒 July 30

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GOK | Digital Innovation

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

GOK | Digital Innovation is a Brazilian digital innovation and AI consultancy that helps companies unlock business value from artificial intelligence. The firm develops AI-driven products and platforms (including a 'No Friction AI' feedback-to-backlog SaaS), runs AI assessments and labs, and provides hybrid squads to build and scale digital solutions for startups and enterprises. GOK emphasizes AI exploration, implementation, and innovation services to drive measurable business outcomes.

📋 Description

• Provide technical leadership to the team, guiding architecture, development and quality decisions. • Collaborate with Product Owners and stakeholders to understand, detail and prioritize requirements. • Translate business needs into technical solutions, user stories, acceptance criteria and implementation plans. • Define approaches for Java applications, microservices, integrations, messaging and databases. • Conduct and guide code reviews to ensure quality, security and adherence to technical standards. • Support the team in resolving complex issues, performing impact analysis and troubleshooting. • Use AI in requirements analysis, solution design, development, testing, code review and documentation. • Provide guidance on using LLMs, RAG, context management, agents, multi-agent systems and guardrails within the engineering workflow. • Establish best practices for using AI tools, avoiding reliance on unvalidated outputs. • Work with architecture, security, DevOps and other teams involved in delivery. • Support the evolution of the development pipeline, including cards, branches, PRs, tests, validations and CI/CD. • Track AI-driven improvements in speed, quality and reduction of rework.

🎯 Requirements

• Strong experience with Java, Spring Boot, JPA and Spring Batch. • Proficiency in microservices, hexagonal architecture, APIs and integrations. • Experience with MongoDB, Oracle, RabbitMQ and Kafka. • Knowledge of automated testing with JUnit and Mockito. • Experience with GitLab, CI/CD and code review processes. • Ability to design solutions and assess technical and architectural impacts. • Experience providing technical leadership to developers and leading discussions with business stakeholders. • Hands-on experience applying AI to software development. • Knowledge of LLMs, prompt engineering and context engineering. • Familiarity with RAG, agents, multi-agent systems and guardrails. • Experience in a banking environment.