Here is a professional Job Description (JD) and Skill Set for an AI Engineer (0–6 Years Experience):
Job Title: AI Engineer
Experience: 0 to 6 Years
Location: Bangalore / Hyderabad / Pune / Remote
Employment Type: Full-Time
Job Summary
We are looking for passionate AI Engineers to design, develop, and deploy Artificial Intelligence and Machine Learning solutions. The candidate will work on building intelligent applications using Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), NLP, and Computer Vision technologies.
Roles & Responsibilities
- Develop and implement Machine Learning and Deep Learning models.
- Build AI-powered applications using Python and modern AI frameworks.
- Work on Generative AI, LLMs, Chatbots, and AI Agents.
- Perform data preprocessing, feature engineering, and model optimization.
- Train, evaluate, and deploy AI/ML models in production environments.
- Develop REST APIs for AI model integration.
- Work with Vector Databases, RAG (Retrieval-Augmented Generation), and Prompt Engineering.
- Collaborate with product, engineering, and business teams.
- Monitor model performance and continuously improve accuracy.
- Stay updated with the latest AI research and technologies.
Required Technical Skills
Programming Languages
- Python (Mandatory)
- JavaScript (Preferred)
- SQL
Machine Learning
- Supervised & Unsupervised Learning
- Classification & Regression
- Clustering
- Recommendation Systems
- Model Evaluation Techniques
Deep Learning
- Neural Networks
- CNN
- RNN
- LSTM
- Transformers
AI Frameworks
- TensorFlow
- Keras
- PyTorch
- Scikit-Learn
Generative AI
- OpenAI GPT Models
- Claude
- Gemini
- Llama Models
- Prompt Engineering
- Fine Tuning
LLM & Agentic AI
- LangChain
- LangGraph
- CrewAI
- AutoGen
- AI Agents
- Multi-Agent Systems
NLP
- Text Classification
- Sentiment Analysis
- Entity Recognition (NER)
- Text Summarization
- Chatbots
Computer Vision
- OpenCV
- Image Classification
- Object Detection
- OCR
Data Science
- Pandas
- NumPy
- Matplotlib
- Data Analysis
- Feature Engineering
Databases
- MySQL
- PostgreSQL
- MongoDB
- Vector DB (Pinecone, Weaviate, ChromaDB, FAISS)
Cloud & Deployment
- AWS
- Azure
- Google Cloud Platform (GCP)
- Docker
- Kubernetes (Preferred)
API Development
- FastAPI
- Flask
- Node.js (Preferred)
- REST APIs
Version Control
Preferred Skills
- Experience with RAG Architecture.
- Knowledge of MLOps and Model Deployment.
- Experience in AI Chatbot Development.
- Exposure to Hugging Face Models.
- Experience working with Vector Databases.
- Knowledge of Prompt Engineering and AI Agent Frameworks.
Educational Qualification
- BE / B.Tech / ME / M.Tech in Computer Science, IT, AI, Data Science, or related field.
- Freshers with AI/ML projects can also apply.
Keywords for Sourcing
AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Generative AI Engineer, LLM Engineer, NLP Engineer, Computer Vision Engineer, Python Developer, Data Scientist, LangChain Developer, LangGraph Developer, AI Agent Developer, Prompt Engineer, RAG Engineer, MLOps Engineer.
Experience-wise Expectation
0-2 Years
- Python, Machine Learning, SQL, Scikit-Learn
- Academic or personal AI projects
- Basic NLP and Deep Learning
3-4 Years
- Production AI models
- LLMs, LangChain, Vector Databases
- Cloud deployment experience
5-6 Years
- AI solution architecture
- Agentic AI systems
- RAG pipelines
- Team mentoring and model optimization