AI Engineer | Agentic AI & GenAI

Key Responsibilities

• Develop scalable and optimized enterprise AI solutions.
  
• Build and manage AI agents and multi-agent systems.
  
• Perform hands-on fine-tuning, transfer learning and optimization of Transformer-based models.
  
• Develop GenAI and LLM applications using modern AI frameworks.
  
• Implement prompt engineering and optimize model performance.
  
• Deploy AI/ML models using Docker and Kubernetes.
  
• Build APIs and AI applications using Python, Flask and FastAPI.
  
• Implement MLOps practices and CI/CD pipelines for ML solutions.
  
• Work with SQL, NoSQL and vector databases.
  
• Optimize Python applications using memory profiling tools such as Scalene or Filprofiler.
  
• Integrate OpenAI GPT models with Python applications for processing PDF/PPTX documents using tools such as PyMuPDF and python-pptx.
  

Requirements

? Must-Have Skills

• Agentic AI, Generative AI & LLMs
  
• Prompt Engineering & Fine-Tuning
  
• AI Agents & Multi-Agent Systems
  
• Python
  
• Transformer / Deep Learning Models
  
• LangChain / LangGraph / AutoGen / Semantic Kernel
  
• NLP – BERT, Word2Vec, NLTK, spaCy, GloVe
  
• Azure / AWS / Google Cloud
  
• Flask & FastAPI
  
• Docker & Kubernetes
  
• SQL, NoSQL & Vector Databases
  
• MLOps & CI/CD
  
• Model Performance Optimization