peopleHum Agentic AI Java Developer Jobs 2026

peopleHum Agentic AI Java Developer Jobs 2026

peopleHum is hiring for the Agentic AI Java Developer position in India. This is an onsite technical opportunity for candidates with 0–1 years of experience who want to build their careers in backend engineering while working with Java, Spring Boot, REST APIs, databases, microservices, and AI-powered systems.

The role is particularly relevant for early-career developers interested in the growing intersection of Java backend development and Agentic AI. Candidates will work with an AI-native human capital platform built on microservices architecture, event-driven pipelines, and LLM integrations. Exposure to RAG pipelines, LLM orchestration, autonomous agents, and AI automation can provide an additional advantage.

Quick Job Snapshot

Company	peopleHum
Job Role	Agentic AI Java Developer
Job Function	Technical
Workplace Type	Onsite
Employment Type	Probation
Experience	Freshers
Primary Skills	Java, OOP, Spring Boot, REST APIs, SQL
AI Skills	LLMs, Agentic AI, RAG, AI Automation
Database	MariaDB / MySQL; MongoDB, Redis and Elasticsearch are good to have
Eligible Batch	Recent Batches
Salary	Not disclosed
Apply for Eminence	Click here

About peopleHum

peopleHum is a Human Capital Platform focused on transforming the Future of Work. The platform provides an integrated employee experience covering areas such as hiring, performance, engagement, and HRMS, with machine learning and automation capabilities.

The company describes its platform as AI-native and built using a microservices architecture, event-driven pipelines, and deep LLM integrations on the Java stack. This technology environment is directly relevant to the Agentic AI Java Developer role.

Agentic AI Java Developer Role Overview

The role is designed for a backend developer with 0–1 years of experience who wants to develop strong engineering skills across the Java backend ecosystem. Candidates will work with Java, Spring Boot, APIs, databases, microservices, and AI-powered systems rather than focusing on a narrow set of coding tasks.

The position also provides exposure to production-grade enterprise application development. Developers will learn how applications are designed, built, deployed, monitored, debugged, and continuously improved while collaborating with frontend, QA, product, and design teams.

Key Responsibilities

• Take ownership of assigned backend tasks from understanding requirements through delivery of working code.
• Understand how assigned technical work impacts the product and its users.
• Write clean, maintainable, and testable code with guidance from senior engineers.
• Participate in debugging, deployment, monitoring, and fixing issues in your own code.
• Take accountability for quality, correctness, and timely delivery.
• Communicate clearly with the team regarding progress, blockers, and technical questions.
• Collaborate with frontend, QA, product, and design teams to understand requirements and edge cases.
• Participate in sprint discussions, code reviews, and technical discussions.
• Share learnings and document work when required.
• Break down complex problems into smaller, solvable parts.
• Understand the business context behind technical tasks.
• Consider reliability, security, performance, and correctness while developing backend systems.
• Debug issues systematically and ask thoughtful questions when blocked.
• Continuously learn backend engineering best practices.
• Build familiarity with emerging technologies, especially AI, LLMs, and automation.
• Adapt to a fast-paced environment with changing priorities.
• Deliver assigned work with increasing independence.
• Show initiative in improving code quality and learning new tools.
• Develop an understanding of system design.
• Balance development speed with clean implementation and long-term maintainability.

Must-Have Skills

• Basic to good understanding of Java.
• Understanding of Object-Oriented Programming.
• Exposure to Spring Boot.
• Experience or familiarity with 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.
• Basic awareness of event-driven systems or distributed backend architecture.
• Strong interest in AI/LLM-based systems.
• Interest in Agentic AI patterns, RAG pipelines, or automation workflows.
• Good communication skills.
• Ownership mindset and willingness to learn quickly.

Good-to-Have Skills

• Exposure to MongoDB, Redis, or Elasticsearch.
• Basic understanding of authentication and authorization concepts.
• Familiarity with Maven.
• Familiarity with Git.
• Knowledge of JUnit.
• Knowledge of SonarQube.
• Awareness of observability, monitoring, logging, or alerting tools.
• Understanding of service discovery and secrets management.
• Basic understanding of distributed systems.
• Familiarity with vector databases and embeddings.
• Exposure to LangChain or similar AI frameworks.
• Exposure to langchain-core, langchain-community, or langchain-elasticsearch is a plus.

AI & Backend Technology Exposure

One of the strongest aspects of this position is its combination of conventional backend engineering with emerging AI technologies. Candidates can expect the role to involve an environment where LLM integrations, RAG pipelines, Agentic AI patterns, and automation workflows complement Java-based backend systems.

Candidates do not necessarily need to be advanced AI engineers at the 0–1 year level, but a genuine interest in understanding LLMs, embeddings, vector databases, RAG, and agent orchestration can help distinguish an applicant. Familiarity with LangChain and its related ecosystem is specifically mentioned as an advantage.

Problem-Solving & Engineering Mindset

peopleHum emphasizes ownership and critical thinking throughout the role. Candidates are expected to understand requirements, break problems into smaller components, debug issues systematically, and consider reliability, security, performance, and correctness while implementing backend functionality.

The role also expects increasing autonomy. Fresh developers will receive guidance from senior engineers but should gradually become capable of unblocking themselves, asking useful technical questions, improving code quality, and taking responsibility for assigned work.

Salary Insights

The provided peopleHum job listing does not disclose the salary or CTC for the Agentic AI Java Developer position. The employment type is listed as probation, but the listing does not specify the probation duration or compensation structure. Candidates should confirm the applicable salary and employment terms directly during the recruitment process.

Why This Role Is Good for Early-Career Developers

This position is particularly useful for developers who want to avoid choosing between traditional backend engineering and emerging AI technologies. The role combines Java, Spring Boot, REST APIs, SQL, microservices, distributed systems, and production engineering with LLM integrations, RAG, Agentic AI, and automation. That combination can provide a valuable foundation for future careers in backend engineering, AI application development, and AI-enabled enterprise software.

Recommended Skills & Learning Resources

Java and SQL should be the first priorities because they form part of the core backend requirements. Candidates can strengthen their fundamentals through the Programming in Java Course and SQL Course and Notes. Candidates interested in the AI side of the position can additionally explore the Data Science Complete Course for broader AI and data fundamentals.

Interview Preparation

Prepare Java OOP, collections, exception handling, Data Structures, Algorithms, SQL queries, REST APIs, Spring Boot fundamentals, microservices, databases, Git, and debugging. For the AI portion, understand the basic concepts behind LLMs, embeddings, RAG, vector databases, prompt-based workflows, and Agentic AI. The Complete Java Interview Preparation Guide can help with the core Java portion.

Related Jobs

Candidates can explore more Java and backend software jobs, find relevant software development internships, and check the latest government job opportunities.

How to Apply for peopleHum Agentic AI Java Developer

1. Click the Apply Now button below.
2. Open the peopleHum recruitment page for the Agentic AI Java Developer position.
3. Review the role requirements and confirm that your experience falls within the stated 0–1 year range.
4. Prepare an updated resume highlighting Java, OOP, Spring Boot, REST APIs, SQL, and relevant projects.
5. Highlight any exposure to microservices, event-driven systems, MongoDB, Redis, Git, JUnit, or cloud/backend technologies.
6. If you have worked on AI projects, mention LLMs, RAG, embeddings, vector databases, LangChain, or AI automation.
7. Complete the application form with accurate information.
8. Submit your application through the peopleHum recruitment portal.

Apply Now – peopleHum

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Frequently Asked Questions

Who can apply for the peopleHum Agentic AI Java Developer role?

The position is aimed at candidates with 0–1 years of experience who have a basic to good understanding of Java and Object-Oriented Programming. The listing does not specify a particular educational qualification or graduation batch.

What skills are required for the peopleHum Java Developer position?

The core requirements include Java, OOP, Spring Boot, REST APIs, SQL, Data Structures, Algorithms, clean coding, and backend fundamentals. Awareness of microservices, event-driven architecture, and AI/LLM systems is also expected or preferred.

Is salary disclosed for the peopleHum Agentic AI Java Developer role?

No. The provided listing does not disclose the salary or CTC. It lists the employment type as Probation, but the probation duration and compensation are not specified.

Final Takeaway

The peopleHum Agentic AI Java Developer opening is a compelling early-career role for developers who want to build strong Java backend skills while entering the AI application development space. The combination of Spring Boot, REST APIs, SQL, microservices, event-driven systems, LLM integrations, RAG, and Agentic AI gives the role a modern technical profile. Candidates should focus first on solid backend fundamentals and then demonstrate genuine interest in AI-powered systems through relevant projects or learning.