Artificial Intelligence Engineer

Required Skills & Experience

Core Technical Skills

• Hands-on experience with

  Generative AI

  , including:
• Large Language Models (LLMs)
  
• Prompt Engineering
  
• Model fine-tuning and optimization
  
• RAG-based system development
  
• Strong programming skills in:
  

• Python

  (NumPy, Pandas, PyTorch, TensorFlow)
• API development (FastAPI, Flask)
  
• Experience with vector databases:
  
• FAISS, Pinecone, Chroma, Weaviate, Milvus
  
• Practical exposure to open-source LLM frameworks:
  
• Hugging Face Transformers, LangChain, LlamaIndex, Haystack
  
• Understanding of ML Ops pipelines:
  
• Model deployment, CI/CD, Docker, Kubernetes
  
• Cloud experience:
  

• AWS / Azure / GCP

  AI/ML services (SageMaker, Vertex AI, Azure OpenAI)

Good-to-Have Skills

• Knowledge of

  Agentic AI

  frameworks and autonomous agents.
• Experience with multimodal models (image, speech, documents).
  
• Understanding of

  data engineering

  workflows.
• Familiarity with

  SQL/NoSQL

  databases.
• Experience with monitoring tools for production ML systems.
  
• Exposure to enterprise document automation or workflow automation platforms.

  Role & responsibilities

Preferred candidate profile