Happiest Minds Recruitment 2026: GenAI Engineer | Bangalore (2025/2026 Batch)

Job Overview

Role: GenAI Engineer Location: Bengaluru (Bangalore), Karnataka Experience: 0 to 3 Years (Freshers with strong AI project portfolios are welcome) Qualification: B.E. / B.Tech (CS, IT, AI, Data Science or related streams) Key Skills: Python, LLMs, LangChain, RAG Pipelines, REST APIs

Job Description

Happiest Minds Technologies has opened a cutting-edge career track for tech enthusiasts, announcing a hiring drive for the position of GenAI Engineer . This role is anchored at their primary innovation workspace in Bengaluru (Bangalore), India . The company is actively looking for passionate entry-level engineers, welcoming recent 2025 and 2026 graduating batches as well as junior technical professionals with 1 to 3 years of foundational experience. If you are eager to build real-world applications using Large Language Models (LLMs), Python, and modern Retrieval-Augmented Generation (RAG) frameworks, read through the job criteria below and submit your application today.

Roles and Responsibilities

• Developing, structuring, and maintaining scalable AI-powered tools and backend services using Python.
• Assembling and integrating custom LLM-centric systems using state-of-the-art frameworks like LangChain.
• Formulating and fine-tuning advanced prompt engineering strategies to consistently optimize model outputs and precision.
• Creating, deploying, and optimizing robust, lightweight REST APIs using FastAPI or Flask architectures.
• Deploying structural vector databases and creating efficient Retrieval-Augmented Generation (RAG) pipelines to parse proprietary enterprise data safely.
• Integrating functional AI models securely with live web applications and distributed enterprise information software.
• Testing, analyzing, debugging, and systematically optimizing generative applications to drive speed and cost efficiency.
• Collaborating smoothly alongside senior software engineers, solution architects, product managers, and enterprise stakeholders.
• Staying continuously updated with rapid advancements, model drops, and tooling shifts across the global Generative AI and ML landscapes.

Skills and Eligibility Criteria

Educational Background: Must hold or be completing a full-time B.E. / B.Tech degree. Specialization Fields: Computer Science, Information Technology, Artificial Intelligence, Data Science, or aligned engineering branches.

Experience: Recent university graduates from the 2025 and 2026 pass-out batches are highly encouraged to submit applications.

Mandatory Technical Skills:

• Programming Proficiency: Strong, unambiguous practical grasp of modern Python programming patterns and libraries.
• Generative AI Concepts: A solid baseline understanding of how Large Language Models (LLMs) operate and underlying GenAI concepts.
• Prompt Engineering: Conceptual clarity on constructing, optimizing, and evaluating effective prompts to guide model responses.
• API Architectures: Foundational knowledge of developing and mapping standard REST APIs.
• Version Control: Practical familiarity with Git version control pipelines and repository management.

Competencies:

• Soft Skills: Excellent structural analytical habits, strong logical troubleshooting qualities, clear communication skills, and a strong drive to learn.
• Hands-on developer exposure to orchestrating tools like LangChain, Langfuse , or equivalent AI development wrappers.
• Basic architectural awareness of Retrieval-Augmented Generation (RAG) concepts, embeddings, and modern Vector Databases (such as ChromaDB, Pinecone, etc.).
• Direct backend experience writing production-ready APIs via web frameworks like FastAPI or Flask .
• Familiarity with scaling applications on hyperscale cloud infrastructure environments (such as AWS, Microsoft Azure, or Google Cloud Platform).
• Completion of formal academic capstones, internships, or individual side-projects focusing explicitly on AI/ML or Generative AI.
• Verified certifications across Python developer tracks, foundational machine learning, or specialized LLM training courses.
• An active GitHub profile or public portfolio demonstrating functional code repositories and AI tool rollouts.
• Prior records of joining code hackathons or driving open-source project contributions.