Agentic AI Java Developer

Role Overview

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.

Key Responsibilities

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

Communication & Collaboration

Communicate clearly with your team about progress, blockers, and technical questions

Collaborate with frontend, QA, product, and design teams to understand requirements and edge cases

Participate actively in sprint discussions, code reviews, and technical discussions

Share learnings, document work where needed, and be open to feedback

Problem-Solving & Critical Thinking

Break down problems into smaller, solvable parts

Understand the business context behind technical tasks

Learn to think about reliability, security, performance, and correctness while building backend systems

Debug issues systematically and ask thoughtful questions when stuck

Growth Mindset & Learning Agility

Stay curious and continuously learn backend engineering best practices

Build familiarity with emerging technologies, especially AI, LLMs, and automation

Be comfortable working in a fast-paced environment with evolving priorities

Learn quickly from code reviews, production issues, and team feedback

Autonomy & Initiative

Deliver assigned work with increasing independence

Ask smart questions, unblock yourself, and escalate issues when needed

Show initiative in improving code quality, learning new tools, and understanding system design

Balance speed with clean implementation and long-term maintainability

Must have skills

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

Good to have skills

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