AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Posted
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
Candidates should possess strong expertise in
one or more
of the following: 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.
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
Candidates should possess strong expertise in
one or more
of the following: 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.
Skills
- Agentic AI
- AI
- Analytics
- Anthropic
- API
- Automation
- Azure
- ChromaDB
- Claude
- Cloud
- Computer Vision
- Deep Learning
- FAISS
- Generative AI
- LangChain
- LlamaIndex
- LLM
- Machine Learning
- Microsoft Copilot
- MLOps
- NLP
- OpenAI
- Pinecone
- Power Automate
- Power Platform
- Predictive Analytics
- Prompt Engineering
- Python
- PyTorch
- RAG
- Recommendation Systems
- scikit-learn
- Semantic Kernel
- TensorFlow
- Vector Databases
- Weaviate