Backend Engineer developing cutting - edge AI platforms using modern technologies at Barclays. Collaborating with engineers for high - performance backend systems enhancing AI solutions.
About the role
- Software Engineer working on Java microservices and AI integration projects at Inmetrics. Committed to delivering high availability and low latency solutions in a collaborative environment.
Responsibilities
- Microservices Development: Maintain and evolve distributed architectures using Java 17/21 and Spring Boot 3.x, focusing on high availability and low latency.
- AI and LLM Implementation: Integrate generative AI models (such as Gemini) into Java applications, using frameworks like LangChain4j or Spring AI to build automation flows and intelligent agents.
- Cloud-Native Architecture on GCP: Develop and manage services using Cloud Run, GKE (Google Kubernetes Engine) and Cloud Functions, ensuring the application fully leverages managed infrastructure.
- Data and Event Processing: Build resilient data pipelines using GCP Pub/Sub or Apache Kafka for asynchronous communication between services.
- Database Optimization: Model and query relational databases (Cloud SQL/PostgreSQL) and NoSQL stores (Firestore or Bigtable), and work with vector databases for semantic search in AI projects.
- Technical Leadership: Conduct rigorous code reviews, define design patterns and ensure test coverage (unit, integration and load tests).
Requirements
- Advanced experience with Java 11+ (preferably Java 17 or 21).
- Proficiency with the Spring Framework (Boot, Security, Data, Cloud).
- Experience with persistence tools: Hibernate/JPA and QueryDSL.
- Solid knowledge of JUnit 5, Mockito and Testcontainers.
- Hands-on experience with Vertex AI (Google’s API for AI models).
- Experience implementing RAG (Retrieval-Augmented Generation) integrating Java with vector databases.
- Familiarity with prompt engineering for optimizing language model responses within code.
- Experience with Google Cloud Storage, Identity Platform (IAM) and Secret Manager.
- Knowledge of observability: Cloud Logging, Cloud Monitoring and Trace.
- Proficiency with CI/CD tools (GitHub Actions, GitLab CI or Google Cloud Build) integrated with GCP.
Benefits
- Bradesco Health Plan (30% co-payment)
- Bradesco Dental (no employee contribution)
- Life Insurance
- Wellhub (Gympass)
- Childcare Allowance
- Allowance for Exceptional Child
- Payroll-Deductible Loan
- Private Pension
- Pet Care Agreement
- SESC benefits
- Conexa Telemedicine
- Cost Assistance
- Meal/Food Allowance
- Multi-benefit Card
- Medical Plan Upgrade
- We are a socially responsible company: extended maternity and paternity leave
- Pregnancy support program
- Newborn gift basket and the book "It Happened When I Was Born"
- Professional development: courses available through our internal university
- 100% remote or hybrid, depending on project applicability.
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
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