Generative AI / NLP Engineer

JOB SUMMARY:

The Generative AI / NLP Engineer is responsible for designing, developing, and deploying AI-powered applications using deep learning, Natural Language Processing (NLP), and Large Language Models (LLMs) . The role involves building scalable GenAI solutions, implementing prompt engineering techniques, and integrating vector databases for AI-driven data retrieval. The engineer will develop Python-based machine learning solutions, orchestrate LLM workflows using frameworks like LangChain, and deploy AI applications on cloud platforms such as Azure or GCP.

Key Responsibilities

• Design and develop Generative AI and NLP solutions using deep learning techniques .
• Build, fine-tune, and deploy LLM-based applications using Python .
• Implement prompt engineering strategies and vector database integrations for AI-powered data retrieval.
• Develop deep learning models for text classification, sentiment analysis, summarization, and other NLP tasks .
• Build rapid AI applications using Streamlit, FastAPI, and Flask frameworks .
• Implement LLM orchestration using frameworks such as LangChain or similar tools .
• Deploy and scale machine learning models on cloud platforms such as Azure or Google Cloud Platform (GCP) .
• Design and implement agentic AI architectures and multi-agent systems using frameworks like AutoGen or similar tools.
• Collaborate with cross-functional teams to design scalable, production-ready AI solutions .
• Ensure AI models are optimized for performance, scalability, and reliability .

Required Skills & Experience

• 6+ years of experience in software development, data science, or data analytics .
• Minimum 2 years of hands-on experience in Generative AI, NLP, and deep learning models .
• Strong expertise in Python programming for AI/ML development .
• Hands-on experience with TensorFlow, PyTorch, and Hugging Face Transformers .
• Strong understanding of Large Language Models (LLMs) and real-world applications .
• Experience implementing prompt engineering techniques for GenAI solutions .
• Experience working with vector databases for AI-driven data storage and retrieval .
• Familiarity with LLM orchestration frameworks such as LangChain .
• Experience deploying AI/ML solutions on Azure or Google Cloud Platform (GCP) .

Competencies

• Strong analytical and problem-solving skills .
• Ability to design scalable AI architectures and production-ready ML systems .
• Strong collaboration and communication skills to work with cross-functional teams.
• Ability to adapt to rapidly evolving AI technologies and frameworks .

Preferred Skills

• Experience with agentic AI architectures and multi-agent frameworks (AutoGen or similar).
• Knowledge or experience in the healthcare domain .
• Experience with AI-powered enterprise applications and scalable ML pipelines .