Note - Apply Here on this LInk
******************
https://forms.gle/q8J44LCoKByXQWa6A
*****************
Here is a complete, industry-standard Job Description (JD) tailored for an AI Engineer / AI Trainee hiring fresh graduates or candidates with 1–2 years of experience in India.
You can customize the text in [brackets] to align with your company's specifics.
Job Description: AI Engineer Trainee / Junior AI Engineer
Job Title: AI Engineer Trainee / Junior AI Engineer
Department: Engineering & Innovation
Experience Level: 0 – 2 Years (Fresh Graduates / Early Career Professionals)
Location: [City, India / Hybrid / Remote]
Employment Type: Full-Time
Apply Here on this LInk
******************
https://forms.gle/q8J44LCoKByXQWa6A
*****************
About the Role
We are looking for a highly motivated, curious, and tech-savvy AI Engineer Trainee / Junior AI Engineer to join our core technology team. In this role, you will work on building, evaluating, and deploying real-world Artificial Intelligence, Generative AI, and Machine Learning solutions.
As part of our AI team, you will undergo structured mentorship while actively contributing to production-grade applications. This role is ideal for freshers or developers with up to 2 years of experience who want to grow rapidly at the intersection of AI modeling, cloud engineering, and modern software development.
Key Responsibilities
- AI & LLM Integration: Assist in building, fine-tuning, and integrating Machine Learning models, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) pipelines into software applications.
- Data Processing: Clean, preprocess, and structure multi-modal data (text, images, tabular data) to train and evaluate AI models.
- Prompt Engineering & Agent Workflows: Design, test, and optimize prompts and agentic workflows using orchestration frameworks like LangChain, LlamaIndex, or AutoGen.
- API & Backend Development: Develop scalable RESTful APIs using Python (FastAPI / Flask / Django) to serve AI model outputs to frontend services.
- Testing & Model Evaluation: Track model performance metrics (accuracy, latency, token costs, hallucination rates) and conduct continuous model benchmarking.
- Continuous Learning: Stay current with fast-moving AI advancements (OpenAI, Anthropic, Hugging Face, open-source models) and rapidly prototype Proof-of-Concepts (PoCs).
Qualifications & RequirementsEducation:
- B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc. in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related quantitative field.
- Graduation Year: [2024 / 2025 / 2026 Batch] or up to 2 years of work experience in software development or data engineering.
Core Technical Skills:
Apply Here on this LInk
******************
https://forms.gle/q8J44LCoKByXQWa6A
*****************
- Programming: Strong proficiency in Python (data structures, object-oriented programming, and async programming).
- Data & ML Foundations: Good understanding of linear algebra, probability, and core ML algorithms (regression, classification, clustering, vector embeddings).
- AI Toolkits: Hands-on experience or academic/project familiarity with libraries like Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow.
- Generative AI & LLMs: Basic understanding of Transformer architecture, APIs (OpenAI / Anthropic / Hugging Face), and Vector Databases (e.g., Pinecone, ChromaDB, FAISS, or PGVector).
- Developer Tools: Proficient in Git/GitHub for version control and basic exposure to Linux terminal environments.
Soft Skills:
- Strong logical reasoning, problem-solving mindset, and debugging skills.
- High enthusiasm for continuous learning and adaptation in a fast-paced environment.
- Clear written and verbal communication skills.
Good to Have (Bonus Skills)
- Experience building AI coding pipelines, AI browser automations, or multi-agent systems.
- Basic understanding of containerization (Docker) and deploying services to cloud platforms (AWS, Azure, GCP, or Vercel).
- Prior internships, GitHub project repositories, or Kaggle participation showcasing end-to-end AI applications.
What We Offer
- Structured Mentorship: Direct guidance from senior AI architects and technical leads.
- Hands-on Production Exposure: Opportunity to deploy real customer-facing AI products early in your career.
- Competitive Compensation: Competitive base salary + performance bonuses.
- Benefits: Health insurance, flexible work hours, learning allowance for certifications/courses, and internet/commuter reimbursements.
Selection Process
- Resume Screening (Evaluating projects, GitHub profile, and technical skills).
- Online Technical Assessment (Python programming + Machine Learning concepts / Problem Solving).
- Technical Interview 1 (Live Coding & Discussion on Capstone/Past Projects).
- Technical Interview 2 / AI Practical Challenge (Building a basic API or prompt pipeline).
- HR & Cultural Fitment Discussion.
- Apply Here on this LInk
******************
https://forms.gle/q8J44LCoKByXQWa6A
*****************
Pay: ₹4,000.00 - ₹5,000.00 per month
Work Location: Remote
