Looking to start your career in Artificial Intelligence, Generative AI, and Agentic AI? ๐ค
Xccelera is hiring AI Developers (Freshers / 0โ1 Years Experience) in Noida, Uttar Pradesh!
Xccelera is an AI-first company focused on Agentic AI, agent orchestration, and platform-led innovation engineering. The company builds and deploys autonomous AI solutions designed to optimize business operations and accelerate digital transformation.
This opportunity is suitable for candidates with a B.Tech degree in AI, Computer Science, Data Science, or a related field who have practical exposure to Python development, Large Language Models (LLMs), AI agents, and intelligent automation through academic projects or internships.
If you’re passionate about Generative AI and want to work on real-world AI automation solutions, this could be an exciting opportunity to begin your career! ๐
๐ Position Details
๐ข Company: Xccelera
๐ผ Position: AI Developer
๐ Job ID: Not Mentioned
๐ Location: Noida, Uttar Pradesh
๐จโ๐ป Experience Required: 0โ1 Years (Freshers can apply)
๐ Qualification: B.Tech in AI, Computer Science, Data Science, or a related field
๐ข Employment Type: Not Mentioned
๐ Work Mode: Work from Office (Mandatory)
๐ Eligibility: Candidates must be based in the Delhi NCR region
๐ฐ Salary: Not Mentioned
๐ง Apply Via: neha.rana@xccelera.ai
๐ ๏ธ Skills Required
Candidates should have knowledge or hands-on exposure to the following technologies:
โ
Python Programming
โ
Generative AI and Large Language Models (LLMs)
โ
AI Agents and Agentic AI
โ
LangChain, LangGraph, or LlamaIndex
โ
Agent orchestration frameworks such as CrewAI or AutoGen
โ
Retrieval-Augmented Generation (RAG)
โ
Vector Databases: Pinecone, Chroma, Weaviate, or Milvus
โ
Prompt Engineering
โ
REST APIs and LLM Tool Calling
โ
Git and Docker
โ
Basic CI/CD concepts
โ
Problem-Solving and Analytical Thinking
โ
Interest in AI Automation and Intelligent Systems
๐ Position Overview
Xccelera is looking for a technically motivated AI Developer to join its Engineering team. The role focuses on building intelligent, autonomous AI solutions that can reason through tasks, interact with tools, retrieve relevant information, and automate multi-step workflows.
As an AI Developer, you will work with Python, LLMs, AI agent frameworks, and RAG pipelines to develop AI-powered applications.
This opportunity is particularly relevant to fresh graduates who have developed AI projects, experimented with LLM APIs, or built prototypes involving intelligent agents during their academic studies or internships.
The position offers exposure to several important areas of modern AI development, including:
๐น Agentic AI: Developing agents capable of reasoning, automation, and multi-step task execution.
๐น LLM Integration: Connecting applications with language models from providers such as OpenAI, Anthropic, Azure OpenAI, and Hugging Face.
๐น AI Workflow Orchestration: Using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or OpenAI Swarm.
๐น Retrieval-Augmented Generation (RAG): Building systems that retrieve relevant information from documents and use it to generate contextual responses.
๐น Prompt Engineering: Designing system prompts and using few-shot prompting and other prompt-design techniques.
๐น Python Development: Writing clean, maintainable, and well-documented code for AI applications.
Candidates should be eager to learn, comfortable experimenting with new technologies, and interested in solving practical problems through AI.
๐ฏ Key Responsibilities
As an AI Developer at Xccelera, your responsibilities may include the following, based on the advertised role:
1๏ธโฃ Design and develop AI agents for automation, reasoning, and multi-step task execution.
2๏ธโฃ Build intelligent workflows using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or OpenAI Swarm.
3๏ธโฃ Develop prompt engineering strategies to improve the quality and relevance of LLM responses.
4๏ธโฃ Build and maintain Retrieval-Augmented Generation (RAG) pipelines for document understanding and contextual responses.
5๏ธโฃ Integrate Large Language Models from OpenAI, Anthropic, Azure OpenAI, and Hugging Face using APIs.
6๏ธโฃ Implement tool-calling capabilities that enable AI agents to interact with external services and applications.
7๏ธโฃ Work on agent orchestration, memory management, and multi-agent coordination.
8๏ธโฃ Develop Python scripts and applications for AI-powered automation.
9๏ธโฃ Write clean, reusable, maintainable, and well-documented code.
๐ Explore AI frameworks and techniques to improve intelligent automation workflows.
๐ข About Xccelera
Xccelera describes itself as an AI-first company focused on Agentic AI, agent orchestration, and platform-led innovation engineering.
Its stated approach includes developing autonomous AI solutions to optimize business operations and accelerate digital transformation. The company also describes its development approach as an Agentic Assisted Product Development Lifecycle supported by proprietary AI agents.
For candidates interested in Generative AI, AI-assisted software development, and intelligent automation, this role aligns with several emerging areas of AI engineering.
๐ฑ Why This Role Could Be a Good Opportunity for Freshers
Starting a career in AI can be challenging, particularly when many roles expect prior industry experience. This opening accepts candidates with 0โ1 years of experience and recognizes hands-on exposure gained through academic projects or internships.
Potential advantages of this opportunity include:
๐ Apply Python programming skills to AI development.
๐ Explore practical applications of Generative AI and LLMs.
๐ Build experience with AI agent frameworks.
๐ Learn how RAG pipelines support document-based AI applications.
๐ Understand how LLMs connect with APIs and external tools.
๐ Strengthen problem-solving and software development skills.
๐ Explore multi-agent systems and workflow orchestration.
๐ Build a portfolio of AI projects relevant to future opportunities.
These are potential learning opportunities associated with the role, not guarantees of specific training programs or company benefits.
๐ฐ Salary Range
๐ต Salary: Not Mentioned in the job announcement.
Candidates should confirm the compensation range directly with the recruiter during the application or interview process.
๐งช Expected Interview Rounds
The actual interview process has not been specified in the job announcement. Candidates may generally prepare for some combination of the following stages:
1๏ธโฃ Resume Shortlisting: Review of educational qualifications, projects, internships, and technical skills.
2๏ธโฃ Initial Screening: Discussion of interest in AI development, experience, and role eligibility.
3๏ธโฃ Python Assessment: Questions on Python fundamentals, data structures, functions, and coding.
4๏ธโฃ Technical Interview: Discussion of LLMs, Generative AI, prompt engineering, and AI agent frameworks.
5๏ธโฃ Project Discussion: Explanation of academic projects, AI prototypes, RAG implementations, or LLM integrations.
6๏ธโฃ Final Discussion: Potential discussion of availability, work-from-office requirements, location eligibility, and compensation.
These are general preparation suggestions, not confirmed Xccelera interview rounds.
๐ Preparation Tips for AI Developer Interviews
If you plan to apply, consider preparing the following topics:
โ Revise Python fundamentals: Functions, classes, exception handling, collections, modules, and file operations.
โ Understand LLMs: Learn the basics of Large Language Models, tokens, context windows, and model limitations.
โ Practice prompt engineering: Understand system prompts, user prompts, few-shot prompting, and structured outputs.
โ Explore LangChain or LangGraph: Build a small application using one framework mentioned in the job description.
โ Learn RAG fundamentals: Understand document loading, text chunking, embeddings, vector search, and retrieval.
โ Study vector databases: Understand how tools such as Chroma, Pinecone, and Weaviate support semantic search.
โ Practice API integration: Build a Python application that calls an LLM API and handles responses and errors.
โ Understand AI agents: Learn about tools, planning, memory, orchestration, and multi-step execution.
โ Learn Git and Docker basics: Practice version control and understand how applications can be packaged and deployed.
โ Build a practical project: Create a document-question-answering chatbot, research assistant, or simple tool-using AI agent.
โ Prepare to explain your code: Be ready to discuss design choices, challenges, limitations, and possible improvements.
โ Review your academic projects: Clearly explain your individual contribution, technologies used, and results achieved.
๐ Resume Tips for Aspiring AI Developers
Make your resume relevant to AI engineering and highlight practical skills.
โ Keep your resume clear, concise, and easy to scan.
โ Highlight Python, Generative AI, LLMs, and relevant frameworks.
โ Add academic projects involving AI agents, chatbots, RAG, or API integrations.
โ Mention internships and practical experience, if applicable.
โ Include GitHub links to relevant projects when available.
โ Describe your contribution rather than simply listing project titles.
โ Highlight the tools and technologies used in each project.
โ Mention relevant AI, Python, or cloud certifications, if you have them.
โ Include measurable outcomes only when you can substantiate them.
โ Clearly mention your current location within Delhi NCR if applicable.
โ Frequently Asked Questions (FAQs)
Q1. Is Xccelera hiring freshers for the AI Developer role?
Yes. The advertised experience requirement is 0โ1 years, and candidates with relevant academic projects or internship experience can apply.
Q2. What is the job location?
The position is based in Noida, Uttar Pradesh.
Q3. Is the role remote or work from office?
Work from office is mandatory, with daily on-site attendance.
Q4. Can candidates from outside Delhi NCR apply?
The announcement specifies that candidates should be based in the Delhi NCR region only.
Q5. What qualification is required?
A B.Tech degree in AI, Computer Science, Data Science, or a related field is specified.
Q6. Which programming language is required?
Python development experience is required, including practical exposure gained through academic projects or internships.
Q7. Is prior professional experience mandatory?
The advertised experience range is 0โ1 years. Relevant academic and internship projects count as practical exposure.
Q8. Which AI frameworks are relevant to this role?
Relevant frameworks include LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and OpenAI Swarm. The announcement specifically asks for working knowledge of at least one LLM framework, such as LangChain, LangGraph, or LlamaIndex.
Q9. What is the salary offered?
The salary has not been mentioned in the announcement. Candidates should confirm it with the recruiter.
Q10. How can candidates apply?
Send your updated resume to neha.rana@xccelera.ai.
๐ Why Consider This Opportunity at Xccelera?
For candidates interested in building a career in AI engineering, this position aligns with several relevant technical areas:
โจ Exposure to Agentic AI and intelligent automation.
โจ Opportunity to work with LLM-based applications.
โจ Practical relevance of Python programming skills.
โจ Exposure to AI workflow orchestration frameworks.
โจ Opportunity to explore RAG and document understanding.
โจ Experience with API-based LLM integrations.
โจ Scope to apply problem-solving skills to AI development.
โจ Relevance to emerging Generative AI engineering skills.
These points describe the technical relevance of the position and potential learning opportunities. Specific employee benefits, compensation, and training arrangements have not been confirmed.
๐ฉ How to Apply
๐ง Email Your Resume: neha.rana@xccelera.ai
๐ Application Link: Not provided.
๐ Suggested Email Subject: Application for AI Developer โ Noida
๐ Include in Your Email:
- Position applying for: AI Developer
- Educational qualification
- Relevant Python and AI skills
- Academic projects or internship experience
- Current location
- Notice period or availability
- Updated resume
- Contact number
๐ Important: This position requires daily work from the Noida office. Candidates should be based in the Delhi NCR region.
๐ข Share this opportunity with friends, classmates, recent graduates, and aspiring AI engineers who are looking to begin their careers in Generative AI, Agentic AI, and Python development.
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