Artificial Intelligence Engineer

Job Title: AI Engineer

Location: Hyderabad / Bangalore

Experience: 3-8 years

Employment Type: Full-Time

About the Company

We are a fast-growing technology firm focused on building next-generation AI solutions that drive automation, intelligence, and decision-making across industries. Our team combines expertise in machine learning, natural language processing, and generative AI to solve complex business challenges using data-driven innovation.

About the Role

We are looking for a passionate and skilled AI Engineer to join our AI/ML team. The ideal candidate will have strong hands-on experience in Python, Machine Learning, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) techniques. You will work on designing, developing, and deploying intelligent models and AI-driven applications in real-world environments.

Key Responsibilities

• Design, develop, and deploy AI and ML models to solve business and product challenges.
  
• Build and optimize NLP pipelines for tasks such as text classification, entity extraction, and sentiment analysis.
  
• Implement Retrieval-Augmented Generation (RAG) architectures using LLMs and vector databases.
  
• Fine-tune pre-trained Large Language Models (LLMs) for domain-specific applications.
  
• Develop and integrate AI solutions into production systems using Python APIs or web frameworks.
  
• Collaborate with data engineers, backend developers, and product teams to ensure scalable AI deployment.
  
• Research and experiment with emerging AI/ML tools, frameworks, and architectures to improve model performance.
  
• Evaluate and monitor AI model performance using key metrics (accuracy, F1-score, perplexity, etc.).
  

Required Skills

• 3-8 years of hands-on experience in AI/ML model development and deployment.
  
• Strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
  
• Experience with Natural Language Processing (NLP) tokenization, embeddings, and transformer-based architectures (BERT, GPT, etc.).
  
• Practical knowledge of Retrieval-Augmented Generation (RAG) using tools like LangChain, LlamaIndex, or FAISS.
  
• Proficiency in vector databases (Pinecone, ChromaDB, Weaviate, Milvus, etc.).
  
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
  
• Experience in cloud deployment (AWS, GCP, or Azure) and containerization (Docker).
  
• Experience working with LLM APIs (OpenAI, Anthropic, Mistral, etc.).
  
• Familiarity with knowledge graph construction or semantic search systems.
  
• Understanding of data pipelines and ETL workflows.
  
• Knowledge of API development or backend integration with Flask/FastAPI.