Back-end Developer, Java

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alt.bank

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💳 Fintech

🏦 Banking

🤝 B2B

💰 Series A on 2021-05

Fintech • Banking • B2B

alt. bank is a Brazilian white‑label credit platform that enables companies to launch and operate credit card products (prepaid and postpaid) without being a financial institution. It provides BIN sponsorship, card issuance (physical and virtual), escrow and settlement accounts, integrated KYC/AML, transaction antifraud, dispute and chargeback management, and local payment rails (Pix, boleto). Its proprietary credit engine (GUARD) uses machine learning and alternative data to originate and manage risk, driving high activation and low delinquency; the platform is sold to businesses as a turnkey solution and has been validated with over 100k customers.

📋 Description

• Design, develop and maintain high-availability banking systems in Java and Quarkus, using a microservices architecture and messaging (SQS/SNS) • Design and implement single-agent and multi-agent AI agents to perform business tasks • Orchestrate tool calls, define scopes of action, security policies and autonomy limits • Integrate LLMs via API into backend systems, using RAG, function calling, context memory and MCP • Apply prompt engineering for code generation and agent behavior design • Review and debug code and decisions generated by agents/AI, identifying logical errors, hallucinations and edge cases • Lead custom implementations when automation is insufficient • Design and validate PoCs and MVPs of agentic solutions with business stakeholders • Build observability and evaluation for agents in production, including logging, tracing and metrics • Identify security weaknesses and implement safeguards, including output validation and human-in-the-loop controls • Develop unit and integration tests using Maven and Git • Work with product, technology and business teams to translate operational pain points into scalable agentic solutions

🎯 Requirements

• Degree completed or in progress in Computer Science, Software Engineering or related fields • Strong backend experience with Java and Quarkus, or Spring with willingness to migrate • Practical experience building AI agents or applications with LLMs • Knowledge of tool orchestration, RAG, memory and agent evaluation • Knowledge of MCP and function calling/tool use with APIs such as Claude or OpenAI • Mastery of prompt engineering and agent guardrails • Experience with relational databases MySQL and PostgreSQL • Experience with NoSQL databases Redis and MongoDB • Preferably experience with vector databases such as pgvector, Pinecone or Weaviate for RAG • Hands-on experience with event-driven architecture using AWS SQS and SNS • Proficiency in unit and integration testing, Git, Maven, agile methodologies and CI/CD pipelines • Ability to read technical documentation in English • Good communication in Portuguese or English • Autonomy and proactivity in a 100% remote environment • Differentials: observability of LLMs/agents, open-source contributions related to LLM tooling and experience in fintech/regulated banking systems