Are you a fresher who wants to build a career in Artificial Intelligence and Generative AI? π€ Hereβs an exciting opportunity for aspiring AI developers to gain exposure to modern AI technologies and work toward building real-world AI solutions. Excellence Technologies is looking for enthusiastic candidates who are eager to learn, experiment, and grow in the rapidly evolving field of AI.
If you have basic knowledge of Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and GenAI frameworks, this opportunity could be a great starting point for your career!
π’ About Excellence Technologies
Excellence Technologies is seeking motivated candidates interested in AI and Generative AI development. This opportunity is aimed at freshers who want to strengthen their technical skills, explore AI-powered applications, and apply their academic knowledge to practical development projects.
For aspiring AI engineers, familiarity with LLMs, RAG pipelines, and frameworks such as LangChain and LangGraph can provide a useful foundation for building intelligent applications.
π Job Overview
- Company: Excellence Technologies
- Job Title: AI Developer
- Experience Required: Fresher (0β1 Year)
- Location: Noida, Uttar Pradesh
- Job Type: Not specified
- Primary Technologies: Artificial Intelligence, Machine Learning, Generative AI
- Technical Skills: Python, LLMs, RAG, LangChain, LangGraph, API Integration
- Application Email: jobs@excellencetechnologies.in
πΌ Key Responsibilities
The exact responsibilities have not been provided in the job description. Based on the advertised skills, the role may involve tasks such as:
- AI Application Development: Assist in developing applications powered by AI and Generative AI technologies.
- LLM Integration: Work with Large Language Models to build intelligent features and conversational applications.
- RAG Implementation: Learn to connect language models with external documents or knowledge sources to generate context-aware responses.
- Framework Usage: Explore LangChain and LangGraph to build AI workflows and multi-step application logic.
- Python Development: Write and maintain Python code for AI-related tasks and application functionality.
- API Integration: Connect AI models and external services through APIs.
- Testing and Debugging: Test AI application outputs, investigate errors, and improve application reliability.
- Continuous Learning: Explore emerging AI tools, development techniques, and best practices.
Note: These are potential responsibilities inferred from the required skills, not a confirmed list from the employer.
β Why Is This Role Good for Freshers?
- Start a career in AI: Build a foundation in one of the fastest-evolving areas of technology.
- Explore Generative AI: Learn how LLMs can be used to create chatbots, assistants, and intelligent applications.
- Work with modern frameworks: Develop familiarity with LangChain and LangGraph.
- Build practical skills: Apply Python and API integration knowledge to AI-based projects.
- Strengthen your portfolio: Academic projects and hands-on practice can help demonstrate your ability to build working solutions.
- Grow your technical expertise: Develop a foundation for future opportunities in AI engineering, GenAI development, and LLM application development.
π§ Skills Required
- AI/ML Fundamentals: Basic understanding of artificial intelligence, machine learning, and common AI concepts.
- Generative AI: Familiarity with how generative models create text and other outputs.
- Large Language Models: Basic understanding of LLMs, prompts, model responses, and common use cases.
- Retrieval-Augmented Generation (RAG): Understanding how external knowledge sources can be used to improve LLM responses.
- LangChain and LangGraph: Familiarity with frameworks for building LLM applications and AI workflows.
- Python Programming: Basic coding knowledge, including functions, data structures, and error handling.
- API Integration: Understanding how to send requests to APIs and process responses.
- Projects and Practice: Academic projects, personal projects, internships, or hands-on AI/GenAI practice will be an advantage.
π― Interview Preparation Tips
1. Revise Python fundamentals
Prepare for questions on data types, lists, dictionaries, functions, loops, exception handling, and basic object-oriented programming.
2. Understand AI, ML, and Generative AI
Be ready to explain the differences between AI, machine learning, deep learning, and Generative AI with simple examples.
3. Prepare LLM concepts
Understand tokens, prompts, context windows, hallucinations, embeddings, and common LLM applications.
4. Learn the basics of RAG
Prepare to explain how a RAG pipeline retrieves relevant information and uses it to generate an answer. Understand document chunking, embeddings, vector databases, retrieval, and response generation.
5. Revise LangChain and LangGraph
Understand their basic purpose and how they can help build LLM applications and structured AI workflows.
6. Practise API integration
Learn how to make HTTP requests in Python, handle JSON responses, use API keys securely, and manage common errors.
7. Prepare your project explanation
If you have built a chatbot, document Q&A application, AI assistant, or other GenAI project, be ready to explain:
- The problem your project solves.
- The technologies and frameworks you used.
- How the application works.
- Challenges you faced and how you solved them.
- How you tested the output and handled incorrect AI responses.
π Resume Tips for Freshers
- Highlight relevant academic projects in AI, ML, or Generative AI.
- List Python, LLMs, RAG, LangChain, and LangGraph only where you have genuine knowledge or practical exposure.
- Include your GitHub portfolio or project demonstrations if available.
- Explain your project contributions and the problems you solved.
- Mention API integration, prompt engineering, embeddings, or vector databases if you have worked with them.
- Showcase relevant coursework, certifications, hackathons, or internships.
- Keep your resume concise, clear, and focused on AI development.
Tip: A small working GenAI project with a clear explanation can be more valuable than listing many AI tools without practical understanding.
π° Salary Expectations
The job description does not mention a salary range for this position. Compensation should be confirmed directly with Excellence Technologies during the recruitment process.
π© How to Apply
Interested candidates who are passionate about AI and Generative AI can contact the hiring team using the details provided in the job post.
π§ Email: jobs@excellencetechnologies.in
π Contact Number: 7817091176
π Location: Noida, Uttar Pradesh
Suggested email subject: Application for AI Developer β Fresher
Before applying, make sure your resume highlights your Python fundamentals, AI/GenAI knowledge, and any relevant academic or personal projects.
π€ Referral Tip
Know someone who has completed an AI/ML course or is building projects with Python and Generative AI? Share this opportunity with them!
A referral or recommendation from your network may help them discover a suitable entry-level opportunity.
β Final Thoughts
This opportunity could be a promising starting point for freshers who want to enter the AI development field. If you have a basic understanding of Python, LLMs, RAG, and Generative AI frameworks, focus on strengthening your fundamentals and demonstrating your skills through practical projects.
π Take the first step toward your AI career. Update your resume, showcase your projects, and apply today!
π’ Please share this post with friends and colleagues looking for fresher opportunities in AI and Generative AI. Follow Job Via Referral for more IT job updates!
