peopleHum is an AI-native human capital global platform built on a microservices architecture with event-driven pipelines and deep LLM integrations on the Java stack. We are looking for a Backend Developer with 0–1 years of experience who is eager to build strong backend engineering skills across Java, Spring Boot, APIs, databases, microservices, and AI-powered systems.This is not a narrow coding role. You will work across the backend stack, collaborate closely with frontend, QA, and product teams, and learn how production-grade enterprise applications are designed, built, deployed, monitored, and improved. Exposure to Java, Spring Boot, REST APIs, databases, or AI/LLM concepts is preferred. Curiosity about Agentic AI systems, LLM orchestration, RAG pipelines, and autonomous agents will be a strong advantage.
Ownership & Accountability:
- Take ownership of assigned backend tasks from understanding requirements to delivering working code
- Learn to think beyond tickets by understanding how your work impacts the product and users
- Write clean, maintainable, and testable code with guidance from senior engineers
- Participate in debugging, deployment, monitoring, and fixing issues in your own code
- Develop accountability for quality, correctness, and timely delivery
Who can apply?
Exposure to MongoDB, Redis, or Elasticsearch Basic understanding of authentication and authorization concepts Familiarity with tools such as Maven, Git, JUnit, or SonarQube Awareness of observability, monitoring, logging, or alerting tools Understanding of service discovery, secrets management, or distributed system basics Familiarity with vector databases, embeddings, LangChain, or similar AI frameworks Exposure to langchain-core, langchain-community, or langchain-elasticsearch is a plus
Skills you’ll bring
Basic to good understanding of Java and object-oriented programming Exposure to Spring Boot and building RESTful APIs Understanding of backend concepts such as APIs, services, request-response flow, error handling, and logging Basic knowledge of SQL databases such as MariaDB or MySQL Familiarity with data structures, algorithms, and problem-solving fundamentals Understanding of clean code practices and willingness to follow engineering standards Basic awareness of microservices, event-driven systems, or distributed backend architecture Strong interest in AI/LLM-based systems, agentic AI patterns, RAG pipelines, or automation workflows Good communication skills, ownership mindset, and willingness to learn fast