Evnek Hiring Freshers: Junior Generative AI Engineer in Bengaluru

Last updated: November 4, 2026. Always confirm current details on the official LinkedIn listing before applying.

Introduction

Generative AI is moving quickly from experiments to real business products, and companies are looking for early-career engineers who can build with large language models. Evnek, a technology company based in India, has posted an opening for a Generative AI Engineer (listed as a Junior Generative AI Engineer role) in Bengaluru, Karnataka. The position follows a hybrid work model and is aimed at freshers and candidates with up to one year of experience. This guide explains the role, who fits it, how to shape your resume, and what to expect from the hiring process.

1) Job Summary

Company: Evnek
Job title: Generative AI Engineer (Junior Generative AI Engineer)
Location: Bengaluru, Karnataka, India
Work mode: Hybrid
Experience required: 0–1 year
Notice period: Immediate joiner preferred
Application method: Through the external link on the LinkedIn listing

The listing was posted recently and had drawn a large number of clicks at the time it was reviewed, so early applications are sensible.

2) Job Description

Evnek is looking for an enthusiastic AI engineer with a solid grounding in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Generative AI technologies. Hands-on projects or relevant internships are encouraged.

Key responsibilities include:

Developing and implementing AI-powered applications using LLMs and Generative AI.
Building and optimizing RAG pipelines for intelligent document retrieval and question-answering systems.
Working with frameworks such as LangChain, LlamaIndex and Hugging Face.
Integrating LLM APIs such as OpenAI, Azure OpenAI or open-source models.
Implementing embeddings, semantic search and vector databases.
Developing Python-based APIs and backend services using FastAPI or Flask.
Performing prompt engineering, LLM response evaluation and model optimization.
Collaborating with senior engineers to develop and deploy scalable AI solutions.

Good to have: exposure to AI agents, tool calling and agentic workflows; knowledge of fine-tuning techniques such as LoRA and PEFT; familiarity with AWS, Azure or GCP; basic understanding of Docker and AI application deployment; and academic or personal projects involving LLMs, RAG or chatbots.

3) Eligibility Criteria

Educational qualification: B.E./B.Tech/M.Tech/MCA in Computer Science, AI/ML, Data Science or a related field.

Experience: 0–1 year of relevant experience, including internships or project work.

Required technical skills:

Programming: Strong knowledge of Python.
Generative AI: Basic understanding of LLMs, prompt engineering and transformers.
RAG: Document chunking, embeddings, retrieval and vector search.
Frameworks: LangChain, LlamaIndex or Hugging Face.
Vector databases: FAISS, ChromaDB, Pinecone or similar.
API integration: REST APIs and LLM API integration.
Databases: Basic SQL and database concepts.
Tools: Git, Jupyter Notebook and VS Code.

Soft skills: strong problem-solving and analytical ability, good communication, and a willingness to learn emerging AI technologies.

Who Should Apply?

Recent graduates in computer science, AI/ML or data science who have built LLM or RAG projects.
Candidates with a short internship in AI or backend development.
Python developers who have started learning LangChain, LlamaIndex or Hugging Face and can show working code.
Professionals able to join quickly, since an immediate joiner is preferred.
Candidates comfortable with a hybrid arrangement in Bengaluru.

Who May Not Be a Good Fit?

Candidates with several years of experience seeking a senior or lead role, since this opening targets 0–1 year.
Applicants with no Python background or no hands-on exposure to LLM concepts.
Those who cannot work from or travel to Bengaluru for hybrid work.
People with long notice periods, given the preference for immediate joiners.
Candidates who only list AI buzzwords without any project to demonstrate them.

4) What Should Be Highlighted in the Resume?

Keep your resume to one page and make it easy to scan.

A skills section that mirrors the listing honestly: Python, LangChain, LlamaIndex, Hugging Face, FAISS or ChromaDB, FastAPI or Flask, SQL, Git.
Two or three projects with a one-line outcome each, such as a RAG-based document question-answering app, a chatbot, or an embeddings-powered semantic search tool. Add GitHub links.
Internship experience, focusing on what you built and which tools you used.
Evaluation and optimization work, such as how you tested prompts or improved response quality.
Deployment exposure, including Docker, or any cloud platform (AWS, Azure or GCP) you have used.
Education and certifications relevant to AI/ML.
Availability, stating your notice period clearly.

Avoid exaggeration; interviewers often ask detailed questions about every project listed.

5) What Candidates Should Expect During the Recruitment Process?

Evnek has not published its selection stages in the listing, so the following reflects what is typical for junior AI roles. Actual steps may differ.

Application screening: Resume review against the listed skills.
Technical screening: Questions on Python, LLM basics, embeddings and RAG concepts.
Technical interview: Discussion of your projects, framework choices, and perhaps a coding or problem-solving exercise involving APIs or prompt design.
HR or managerial round: Communication, learning attitude, availability and expectations.
Offer and onboarding: Documentation and joining formalities.

Prepare by revisiting how RAG pipelines work, being able to explain chunking and vector search, and practising short Python exercises.

6) About the Company

Evnek operates in the technology, information and internet sector. According to its LinkedIn page, the company has 51–200 employees and more than 26,000 followers. Its profile states that it aims to lead in cloud and analytics services, delivering insights and quality services, building trust with clients, and developing strong relationships. It also describes a focus on challenging traditional technologies and seeking new opportunities.

7) Why Join This Company?

Hands-on AI work: The role centres on building LLM and RAG applications rather than only maintaining existing systems.
Mentorship: You would collaborate with senior engineers while developing and deploying AI solutions.
Modern tool stack: Exposure to LangChain, LlamaIndex, Hugging Face, vector databases and major LLM APIs.
Fresher-friendly: The opening is designed for early-career talent.
Hybrid flexibility: A hybrid model in Bengaluru, one of India’s largest technology hubs.

Compensation and benefits were not stated in the listing, so ask about them during the process.

8) Frequently Asked Questions (FAQ)

Can freshers apply for this role? Yes. The listing asks for 0–1 year of experience, and internships or project work count.

Is the job remote? It is listed as hybrid, based in Bengaluru, Karnataka.

What is the notice period requirement? The listing mentions immediate joiners.

Which programming language is essential? Python is the core requirement, along with basic SQL.

Do I need deep learning research experience? No. A basic understanding of LLMs, prompts and transformers is expected, with practical application development valued more.

How do I apply? Use the Apply button on the official LinkedIn listing: https://www.linkedin.com/jobs/view/4486348390/. Responses are managed off LinkedIn, so you will be redirected to an external site.

Is the salary mentioned? No. Please confirm compensation directly with the employer.

Disclaimer: This article is for informational purposes only and is not affiliated with Evnek. Job details can change or close at any time. Never pay any fee to obtain a job, and apply only through official channels.

How to Apply?

Interested candidates meeting the eligibility criteria have to apply at the following link: