Happiest Minds GenAI Engineer Recruitment 2026 | 2025 & 2026 Freshers Apply

Happiest Minds GenAI Engineer Recruitment 2026 | 2025 & 2026 Freshers Apply

Happiest Minds is inviting applications for the role of Engineer – GenAI in Security at its office. This exciting opportunity is designed for 2025 and 2026 BE/B.Tech graduates who are passionate about Artificial Intelligence, Large Language Models (LLMs), Python programming, and Generative AI application development. Candidates eager to build real-world AI solutions and work with cutting-edge technologies are encouraged to apply.

As a GenAI Engineer, you will work alongside experienced AI engineers to develop intelligent applications powered by Generative AI. The role offers hands-on exposure to Python, LangChain, Retrieval-Augmented Generation (RAG), vector databases, REST APIs, and cloud platforms while contributing to enterprise AI solutions. This position is ideal for fresh graduates who want to build a career in Artificial Intelligence, Machine Learning, and AI Security.

Quick Job Snapshot

Company Name	Happiest Minds
Role	Engineer – GenAI in Security
Qualification	BE/B.Tech – Computer Science, Information Technology, Artificial Intelligence, Data Science, or Related Fields
Experience	Freshers
Eligible Batch	2025 & 2026 Pass-outs
Salary	₹6–10 LPA (Estimated)
Job Type	Full-Time
Work Mode	Work From Office

Role Overview

The GenAI Engineer will contribute to the design, development, and deployment of AI-powered applications using modern Generative AI technologies. The role focuses on building intelligent solutions using Large Language Models (LLMs), Python, prompt engineering, LangChain, Retrieval-Augmented Generation (RAG), and REST APIs while collaborating with senior AI engineers and product teams.

Selected candidates will gain practical experience in enterprise AI development, cloud integration, AI model deployment, vector databases, and scalable AI application architecture. This position offers an excellent opportunity to work on innovative AI solutions that solve real business challenges while developing expertise in one of the fastest-growing technology domains.

Key Responsibilities

• Develop AI-powered applications using Python.
• Build and integrate Large Language Model (LLM) solutions using frameworks such as LangChain.
• Create effective prompt engineering strategies to improve AI responses.
• Develop REST APIs using FastAPI or Flask.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines.
• Work with vector databases for AI application development.
• Integrate AI models with enterprise applications and web platforms.
• Test, debug, optimize, and maintain AI-powered applications.
• Collaborate with senior engineers, product teams, and business stakeholders.
• Stay updated with the latest advancements in Generative AI, Machine Learning, and Large Language Models.

Required Skills & Eligibility

• BE/B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related disciplines.
• 2025 or 2026 graduates are eligible to apply.
• Strong programming knowledge in Python.
• Basic understanding of Large Language Models (LLMs) and Generative AI.
• Knowledge of Prompt Engineering concepts.
• Understanding of REST API development.
• Familiarity with Git and version control systems.
• Strong analytical and problem-solving skills.
• Excellent communication skills and willingness to learn.

Preferred Skills

• Exposure to LangChain, Langfuse, or similar AI frameworks.
• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases such as ChromaDB or Pinecone.
• Experience with FastAPI or Flask.
• Understanding of Azure, AWS, or Google Cloud Platform.
• Internships or academic projects related to AI/ML or Generative AI.
• Python, AI, Machine Learning, or LLM certifications.
• GitHub portfolio showcasing AI projects.
• Participation in hackathons or open-source projects.

Salary Insights

Happiest Minds has not officially disclosed the compensation package for this role. Based on current market trends for entry-level Generative AI Engineer positions, the expected annual salary ranges between ₹6 LPA and ₹10 LPA. The final package depends on technical skills, project experience, interview performance, and company policies.

Career Growth Opportunities

This role offers an exceptional opportunity to begin a career in Artificial Intelligence and Generative AI. You’ll gain hands-on experience with Python, Large Language Models, LangChain, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, REST APIs, and cloud platforms. These highly demanded skills can help you progress into roles such as AI Engineer, Machine Learning Engineer, LLM Engineer, Applied AI Engineer, AI Solutions Engineer, Data Scientist, or AI Architect. As Generative AI continues transforming industries, professionals with practical AI development experience are expected to remain in high demand across product-based companies and technology consulting firms.

📘 Recommended Skills & Learning Resources

To improve your chances of getting shortlisted, strengthen your Python programming, AI fundamentals, SQL, and data science knowledge before attending the recruitment process.

• Python Course & Notes
• Complete Data Science Course
• SQL Course & Notes

🎯 Interview Preparation

For the Happiest Minds GenAI Engineer role, candidates should prepare Python programming, Object-Oriented Programming (OOP), REST APIs, Large Language Models (LLMs), Prompt Engineering, LangChain, Retrieval-Augmented Generation (RAG), vector databases, Git, Machine Learning basics, and cloud fundamentals. Interviewers may also evaluate your analytical thinking, communication skills, AI project experience, and GitHub portfolio. Strengthen your preparation by practicing our Top AI/ML Engineer Interview Questions for Freshers and Top 100 Python Interview Questions & Answers.

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How to Apply for Happiest Minds GenAI Engineer Recruitment 2026

Interested candidates can apply through the official Happiest Minds Careers portal. Before submitting your application, ensure your resume highlights your Python skills, AI/ML projects, internships, certifications, GitHub profile, hackathon participation, and any experience with LLMs, LangChain, RAG, or cloud platforms.

1. Click the Apply Now button below.
2. Visit the official Happiest Minds Careers page.
3. Read the complete job description and eligibility criteria carefully.
4. Create an account or log in to your existing profile.
5. Fill in the online application form with accurate academic and personal details.
6. Upload your updated resume and any supporting documents.
7. Review your application before submitting it.
8. Submit the application and wait for further communication from the Happiest Minds recruitment team.

🚀 Apply Now – Happiest Minds

Frequently Asked Questions (FAQs) for Happiest Minds GenAI Engineer Recruitment 2026

1. Who can apply for the Happiest Minds GenAI Engineer role?

BE/B.Tech graduates from Computer Science, Information Technology, Artificial Intelligence, Data Science, or related fields who are part of the 2025 or 2026 graduating batches are eligible to apply. Candidates with AI/ML projects or internships will have an added advantage.

2. What technical skills are required for this position?

The role requires strong knowledge of Python, Large Language Models (LLMs), Prompt Engineering, REST APIs, Git, and Generative AI concepts. Knowledge of LangChain, RAG, vector databases, FastAPI, Flask, AWS, Azure, or GCP is considered a valuable addition.

3. What is the expected salary for the GenAI Engineer role?

Happiest Minds has not officially disclosed the compensation package. Based on similar entry-level AI Engineer positions in the industry, the expected annual salary ranges between ₹6 LPA and ₹10 LPA. The final offer depends on technical skills, interview performance, academic achievements, and company policies.

If you’re passionate about Artificial Intelligence and want to build a career in Generative AI, this opportunity at Happiest Minds is an excellent starting point. Continue improving your Python programming, AI development, cloud computing, and problem-solving skills while building practical projects and contributing to GitHub. Regularly explore our latest AI jobs, interview preparation resources, and career guidance to stay ahead in the rapidly growing field of Generative AI.