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Product

Recruitment Software

Post jobs, import profiles, add screening questions, and manage hiring all in one place with personalized questions and control the entire recruitment process.

Recruitment Service

Let our expert team handle the key stages of tech recruitment for you with our specialized team acting in the main stages of recruitment.

AI Recruiting

Eliminate manual work: generate optimized job postings and find the ideal match in one click.

Talent Pool

Top-tier Brazilian tech professionals, pre-vetted and ready for action, all pre-selected and ready for new opportunities.

Job Board

Post your jobs on our job board and reach thousands of tech professionals seeking new challenges.

Solutions

Build my own team

Define the profile, validate with our experts, and assemble your tech team with full control over every step.

Autopilot

Put tech recruitment on autopilot and receive pre-vetted candidates matched to your needs without lifting a finger.

Complete Solution

From sourcing to hiring — an end-to-end tech recruitment experience powered by AI, specialists, and a curated talent pool.

About

Success Stories

Discover how real companies accelerated tech hiring with us and achieved amazing results.

About GeekHunter

We're not just a service—we're a specialized extension of your hiring team and your company.

Resources

HR Blog

Contents about people management, organizational culture and trends in human resources.

Glossary

A comprehensive guide to the key terms and concepts in tech recruitment and software development.

Frequently Asked Questions

Clear answers to the most common questions about using the platform and recruitment processes.

Plans

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NTT DATA

Golang AI Backend Developer

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Remote

(Anywhere)

Salary Range

Not informed

Experience Level

Senior

Requirements

2+ years of experience in the career
Criação de agentes de IA

Tasks and Responsibilities

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Development of high-performance backend applications Concurrent programming and REST APIs SOLID Design Patterns and Clean Code AWS or Azure (minimum 2 years) Docker Kubernetes (EKS, ECS, or AKS) Relational and NoSQL Databases (RDS, DynamoDB) CI/CD (GitHub Actions, GitLab, CodePipeline, CodeBuild, or similar) Observability (Datadog and CloudWatch)

Troubleshooting and performance analysis Experience in the banking ecosystem Knowledge of Generative AI (LangChain; LangGraph; Semantic Kernel; OpenAI, Azure OpenAI, or AWS Bedrock; RAG; Embeddings; Vector Storage; Agent creation). - Activities: Analysis and development.

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