Are you a fresher looking to kick-start your career in Artificial Intelligence and Machine Learning? π€ Hereβs an opportunity for eligible 2025 and 2026 graduates who are passionate about AI, Large Language Models (LLMs), and building intelligent applications.
System Skills is hiring freshers for the AI Engineer role in Mumbai and Pune. Candidates with a strong academic background and knowledge of Python, Machine Learning, Retrieval-Augmented Generation (RAG), and LLM frameworks can explore this opportunity.
If you meet the academic requirements and are excited to work with emerging AI technologies, check the eligibility criteria and application details below.
π Position Details
π’ Company: System Skills
πΌ Position: AI Engineer
π Job ID: Not Mentioned
π Location: Mumbai / Pune
π¨βπ» Experience Required: Freshers
π Eligible Batch: 2025 / 2026
π Qualification: B.E. / B.Tech in AI/ML
π Academic Criteria: 85% or above in 10th, 12th, and Graduation
π’ Employment Type: Not Mentioned
π Work Mode: Not Mentioned
π° Salary: Not Mentioned
π§ Apply Via: akash.jadhav@systemskills.com
π Contact: 7391060469
π οΈ Skills Required
Candidates should have knowledge of the following technologies:
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Programming: Python
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Python Libraries: Pandas, NumPy
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Retrieval-Augmented Generation (RAG): Chunking, embeddings, retrieval, reranking, and synthesis
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LLM Frameworks: LangChain, LangGraph, or MCP
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Vector Databases: FAISS, ChromaDB, Weaviate, or Elasticsearch
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API Development: FastAPI or Flask
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Web Services: REST APIs
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Machine Learning: Fundamentals and practical concepts
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Deep Learning Frameworks: TensorFlow or PyTorch
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Problem-Solving Skills
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Analytical Thinking and Communication Skills
π Position Overview
The AI Engineer role is aimed at fresh graduates who have a background in Artificial Intelligence and Machine Learning and want to begin their professional journey in the AI domain.
The advertised technical requirements cover Python programming, data processing, machine learning, deep learning, LLM frameworks, vector databases, and API development.
Candidates should be familiar with how Retrieval-Augmented Generation (RAG) works, including document chunking, creating embeddings, retrieving relevant information, reranking results, and synthesizing responses.
Knowledge of frameworks such as LangChain, LangGraph, or MCP, along with vector databases like FAISS, ChromaDB, Weaviate, or Elasticsearch, is also relevant to this opportunity.
Freshers who have explored AI/ML through academic projects, personal projects, or practical learning can use these experiences to demonstrate their understanding during the selection process.
Important: The job posting does not specify the exact project allocation, salary package, training program, or employment terms. Candidates should confirm these details with the recruiter.
π― Key Responsibilities
The official job description does not list detailed day-to-day responsibilities. Based on the advertised technical skills, candidates should be prepared for work that may involve:
πΉ Writing Python code for AI/ML applications.
πΉ Processing and analyzing datasets using Pandas and NumPy.
πΉ Understanding machine learning and deep learning concepts.
πΉ Working with RAG pipelines and document chunking techniques.
πΉ Understanding embeddings and semantic search.
πΉ Exploring retrieval, reranking, and response synthesis.
πΉ Using LLM frameworks such as LangChain, LangGraph, or MCP.
πΉ Working with vector databases for storing and retrieving information.
πΉ Developing or integrating REST APIs using FastAPI or Flask.
πΉ Testing, debugging, and improving AI application workflows.
These are role-relevant examples, not confirmed responsibilities from the employer.
π’ About the Company
System Skills is the organization named in the hiring announcement. The provided job details identify the AI Engineer opening and the associated eligibility and technical requirements.
Further verified information about the company’s products, clients, work culture, benefits, and business operations was not included in the supplied announcement. Candidates can contact the recruiter to learn more about the organization and the position.
π± Why This Role May Be Useful for Freshers
For candidates who meet the eligibility criteria, this opportunity may be worth exploring because it aligns with several growing areas of AI engineering.
π Opportunity to pursue an entry-level career in AI/ML.
π Apply Python programming and data-processing knowledge.
π Strengthen understanding of LLM-based applications.
π Explore Retrieval-Augmented Generation (RAG).
π Learn about embeddings and vector databases.
π Build familiarity with modern LLM frameworks.
π Develop an understanding of REST API integration.
π Connect academic AI/ML knowledge with practical engineering concepts.
These are potential career-development benefits, not guaranteed training or employment benefits.
π° Salary Range
π΅ Salary: Not Mentioned
The hiring announcement does not specify the salary package. Candidates should confirm the compensation, benefits, and other employment terms directly with the recruiter.
π§ͺ Interview Process
The following interview stages are explicitly mentioned in the hiring announcement:
1οΈβ£ Introduction Video Screening β Access will be provided for review.
2οΈβ£ Good Fit Online Assessment
3οΈβ£ Technical Interview β Round 1 β Virtual via MS Teams.
4οΈβ£ Technical Interview β Round 2 β Virtual via MS Teams.
5οΈβ£ HR Round β Face-to-face.
6οΈβ£ Co-Founder Round β Virtual via MS Teams.
π Preparation tip: Prepare to explain your academic projects, Python knowledge, AI/ML fundamentals, RAG concepts, and the technologies listed in the job description. Confirm the assessment format and interview schedule with the recruiter.
π Preparation Tips for AI Engineer Freshers
If you are planning to apply, focus on the following areas:
β Revise Python fundamentals: Practice functions, loops, data structures, exception handling, and object-oriented programming.
β Practice Pandas and NumPy: Understand data cleaning, filtering, transformations, arrays, and basic numerical operations.
β Review Machine Learning: Prepare supervised and unsupervised learning, model evaluation, overfitting, and underfitting.
β Understand Deep Learning: Review neural networks, training fundamentals, and the basic concepts behind TensorFlow or PyTorch.
β Learn RAG fundamentals: Understand how document loading, chunking, embeddings, retrieval, reranking, and answer generation fit together.
β Revise LLM concepts: Understand prompts, tokens, context windows, hallucinations, and the limitations of language models.
β Explore vector databases: Learn the purpose of FAISS, ChromaDB, Weaviate, and Elasticsearch in information retrieval.
β Practice API development: Understand HTTP methods, request and response formats, JSON, and REST API fundamentals using FastAPI or Flask.
β Prepare one AI project: Be ready to explain its objective, architecture, technologies, challenges, and your contribution.
β Practice explaining technical concepts: Communicate your thought process clearly during online assessments and technical interviews.
β Prepare for video screening: Check your camera, microphone, internet connection, and surroundings before recording.
β Prepare for HR discussions: Be ready to discuss your academic background, career interests, location preferences, and availability.
π Resume Tips for AI Engineer Freshers
Before submitting your application, review your resume carefully.
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Highlight your B.E./B.Tech specialization in AI/ML.
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Clearly mention your 10th, 12th, and graduation percentages, since the announcement requires at least 85% in all three.
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List Python, Pandas, NumPy, and relevant AI/ML technologies you genuinely know.
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Include academic projects related to machine learning, deep learning, LLMs, or RAG, if applicable.
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Describe your projects with their objective, tools, and results.
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Mention hands-on experience with LangChain, LangGraph, MCP, or vector databases only if applicable.
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Include GitHub or portfolio links if they contain relevant work.
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Keep your resume concise, well-formatted, and free from grammatical errors.
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Save your resume as a PDF with a professional filename.
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Ensure your graduation batch and academic scores are clearly visible.
Important: Apply only if you meet the stated eligibility criteria, and ensure all academic information in your resume is accurate.
β Frequently Asked Questions (FAQs)
Q1. Is System Skills hiring freshers for AI Engineer positions?
Yes. The supplied announcement states that freshers are eligible to apply.
Q2. Which graduation batches are eligible?
Candidates from the 2025 and 2026 batches are eligible according to the announcement.
Q3. What qualification is required?
B.E. or B.Tech in AI/ML is specified.
Q4. What is the minimum academic percentage required?
Candidates must have 85% or above in 10th, 12th, and graduation.
Q5. What is the job location?
Mumbai / Pune.
Q6. What technical skills are required?
The announcement lists Python, Pandas, NumPy, RAG, LLM frameworks, vector databases, FastAPI or Flask, REST APIs, and TensorFlow or PyTorch.
Q7. What is the salary package?
The salary has not been mentioned. Contact the recruiter for details.
Q8. Is this a work-from-home or office-based job?
The work mode has not been specified. Confirm it with the recruiter.
Q9. What is the interview process?
The stated process includes introduction video screening, a Good Fit online assessment, two virtual technical rounds, a face-to-face HR round, and a virtual co-founder round.
Q10. How can interested candidates apply?
Email your resume to akash.jadhav@systemskills.com or contact 7391060469 for further information.
π Why Consider This AI Engineer Opportunity?
β¨ Entry-level opportunity for eligible AI/ML graduates.
β¨ Exposure to a technical selection process covering AI engineering skills.
β¨ Relevant technologies include Python, RAG, LLM frameworks, and vector databases.
β¨ Opportunity to demonstrate academic and personal AI/ML projects.
β¨ Potential to begin building a career in AI engineering.
Please confirm the role details, compensation, work mode, and other employment terms with the recruiter before proceeding.
π© How to Apply
Interested and eligible candidates can apply using the contact details below.
π§ Email Your Resume: akash.jadhav@systemskills.com
π Contact Number: 7391060469
π Suggested Email Subject: Application for AI Engineer β Fresher β 2025/2026 Batch
π Include in Your Email:
- Updated resume
- Graduation specialization and passing year
- 10th, 12th, and graduation percentages
- Current location
- Relevant AI/ML projects and technical skills
- Contact number
π Before applying: Verify that you meet the 85% academic requirement across all three levels and the specified B.E./B.Tech AI/ML qualification.
π’ Know someone who is passionate about Artificial Intelligence and Machine Learning? Share this opportunity with eligible 2025 and 2026 graduates who are looking to start their careers in AI engineering.
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