Full Stack Agentic AI Developer (Probationary Associate) – peopleHum – Mumbai

Description

peopleHum is hiring a Full Stack Agentic AI Developer in Mumbai for fresh graduates and early-career engineers passionate about AI. This role offers hands-on experience in building LLM-powered applications, agentic systems, and modern full stack solutions in a fast-growing AI-native environment.

Introduction

Artificial Intelligence is no longer limited to simple automation or prediction models. The industry is now moving towards Agentic AI systems, where intelligent agents can reason, plan, and execute tasks autonomously. This shift is creating new job roles that demand a blend of full stack development and AI expertise.

One such emerging opportunity is the Full Stack Agentic AI Developer role at peopleHum. Designed for candidates with 0–1 year of experience, this position offers a fast-track career path into advanced AI engineering. If you are someone who wants to work on real-world AI systems instead of just theoretical models, this role provides the perfect starting point.

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About the Company – peopleHum

peopleHum is an AI-native human capital management platform that leverages microservices architecture, event-driven pipelines, and deep Large Language Model (LLM) integrations. The company focuses on transforming HR processes using intelligent automation and data-driven insights.

peopleHum is known for adopting cutting-edge technologies early, especially in the domain of AI and machine learning. Their platform integrates advanced AI capabilities to enhance employee engagement, performance management, and recruitment processes.

With a strong engineering culture and focus on innovation, peopleHum provides an excellent environment for young developers to grow quickly.

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Role Overview – Full Stack Agentic AI Developer

This role is a combination of full stack engineering and AI system development. As a Probationary Associate, you will work closely with experienced engineers to design, build, and deploy AI-powered applications.

The primary focus is on developing agentic pipelines—systems where AI agents can interact with tools, APIs, and data sources to perform complex tasks. You will also build user-facing applications that integrate these AI capabilities.

This is a hands-on role where learning happens through real product development rather than theoretical training.

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Key Responsibilities

1. Full Stack Application Development
You will build and maintain web applications that include both frontend and backend components integrated with AI functionalities.

2. Agentic AI Pipeline Development
You will work with frameworks like LangChain, LangGraph, and CrewAI to build intelligent agent systems capable of reasoning and task execution.

3. LLM API Integration
You will integrate APIs from providers such as OpenAI, Anthropic, and Gemini, implementing features like tool usage, memory handling, and function calling.

4. API Development
Design and develop REST or GraphQL APIs that enable seamless communication between frontend, backend, and AI systems.

5. Cross-Team Collaboration
Work closely with product managers and machine learning teams to rapidly prototype and deploy AI-driven features.

6. Debugging and Optimization
Identify and resolve issues across the stack, from database queries to frontend UI behavior.

7. Documentation and Knowledge Sharing
Maintain clear documentation of systems, APIs, and AI workflows for team collaboration and scalability.

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Required Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field

Experience:

• 0–1 year (freshers with strong projects are eligible)

Location Constraint:

• Must be based in Mumbai

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Skills Extracted from the Job Description and Their Importance

1. Python / Backend Programming
Python is widely used in AI development due to its simplicity and strong ecosystem. Backend knowledge helps in building scalable systems and integrating AI models.

2. JavaScript / TypeScript
These are essential for frontend and backend (Node.js) development, enabling dynamic and interactive user interfaces.

3. React / Next.js
Modern frontend frameworks are critical for building responsive and user-friendly applications that integrate AI features.

4. Node.js
Used for backend services, Node.js enables fast and scalable API development.

5. REST APIs / GraphQL
APIs act as the backbone of communication between systems, especially in AI-powered applications.

6. LangChain / LangGraph
These frameworks are essential for building agentic workflows and orchestrating LLM-based systems.

7. LLM APIs (OpenAI, Anthropic, Gemini)
Understanding how to use LLM APIs allows developers to build intelligent applications with natural language capabilities.

8. RAG (Retrieval-Augmented Generation)
RAG improves AI responses by combining LLMs with external data sources, making outputs more accurate and context-aware.

9. Vector Databases
Used to store embeddings and enable semantic search, which is critical in modern AI applications.

10. PostgreSQL / MongoDB
Databases are essential for storing structured and unstructured data used in AI systems.

11. Docker (Basics)
Containerization helps in deploying applications consistently across different environments.

12. Git & GitHub
Version control is crucial for collaboration and managing code changes.

13. Prompt Engineering
Designing effective prompts is key to getting accurate and useful responses from LLMs.

14. Problem-Solving Skills
AI development involves experimentation and uncertainty. Strong problem-solving ability ensures progress even in ambiguous situations.

15. Communication Skills
Clear communication is necessary for collaboration, documentation, and stakeholder interaction.

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Good-to-Have Skills

• Experience with AI projects or internships
• Knowledge of cloud platforms (AWS, GCP, Azure)
• Understanding of WebSockets or streaming UIs
• Contributions to open-source AI projects
• Familiarity with multi-agent frameworks like AutoGen or CrewAI

These skills enhance your profile and make you more competitive but are not mandatory.

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Why This Role Matters

This role represents the future of software engineering, where developers are not just writing code but building intelligent systems capable of autonomous decision-making.

Agentic AI is being adopted across industries, and gaining early experience in this field provides a significant competitive advantage. Working at peopleHum allows you to directly contribute to real-world AI applications that impact business operations.

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Career Growth Opportunities

This role offers a clear progression path:

• Associate AI Engineer
• Full Stack AI Engineer
• Senior AI Engineer
• AI Architect
• Product Engineer (AI Systems)

With experience, you can specialize in areas like LLM engineering, MLOps, or distributed AI systems.

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Work Culture and Benefits

peopleHum offers a growth-focused environment with mentorship from experienced engineers. Employees get access to cutting-edge AI tools and real production systems from day one.

The company provides:

• Hands-on learning experience
• Fast career progression
• Competitive compensation after probation
• Opportunity to participate in stock plans

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Location Advantage – Mumbai

Mumbai is India’s financial and business capital, offering vast opportunities in technology and startups. The city has a growing AI ecosystem, making it a strategic location for tech professionals.

Being onsite also provides better collaboration, faster learning, and stronger networking opportunities.

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Important Note

This position is strictly open to candidates residing in Mumbai. Applications from other locations will not be considered, so ensure eligibility before applying.

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Conclusion

The Full Stack Agentic AI Developer role at peopleHum is a unique opportunity for fresh graduates to enter the cutting-edge world of AI engineering. It combines full stack development with advanced AI concepts like LLMs, RAG, and agent-based systems.

If you are passionate about AI, eager to learn, and ready to work in a fast-paced environment, this role can significantly accelerate your career.