AI Engineer (Generative AI / AI-ML / Microsoft Copilot)

Job Summary

We are looking for an experienced AI Engineer with strong expertise in Generative AI, AI/ML, or Microsoft Copilot/Agentic AI development. Candidates should have hands-on experience building AI-powered applications, integrating LLMs, and delivering enterprise AI solutions. Professionals with expertise in any one of these core areas are encouraged to apply.

Key Responsibilities

• Design, develop, and deploy AI-powered applications using modern AI frameworks.
• Build and integrate Generative AI solutions using Large Language Models (LLMs).
• Develop AI agents, copilots, chatbots, and workflow automation solutions.
• Fine-tune, prompt engineer, and optimize LLM-based applications.
• Build scalable AI/ML models and deploy them in production environments.
• Integrate AI services with enterprise applications and cloud platforms.
• Collaborate with business stakeholders to identify AI use cases and deliver innovative solutions.
• Ensure AI solutions follow security, governance, and responsible AI practices.

Required Skills

Option 1 – Generative AI

• Hands-on experience with OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama.
• Prompt Engineering and RAG (Retrieval-Augmented Generation).
• LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
• Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS, Azure AI Search).
• AI Agent development and orchestration.

Option 2 – AI / Machine Learning

• Strong Python programming skills.
• Machine Learning and Deep Learning.
• TensorFlow, PyTorch, Scikit-learn.
• NLP, Computer Vision, Predictive Analytics, or Recommendation Systems.
• Model training, evaluation, deployment, and MLOps.

Option 3 – Microsoft Copilot / Agentic AI

• Microsoft Copilot Studio.
• Copilot Agents development.
• Microsoft Power Platform.
• Microsoft Graph API.
• Azure AI Services.
• Power Automate.
• Microsoft 365 Copilot extensibility.
• Agentic AI solutions and workflow automation.