We Love AI JobsAI/ML Engineer
Jade GlobalBuild and deploy LLM-based applications, including agentic systems, RAG pipelines, and document intelligence solutions. The role covers backend and user-interface integration as well as production deployment, monitoring, and responsible AI practices.
Skills & Expertise
Key Responsibilities
Build and deploy end-to-end LLM applications, agentic systems, and RAG pipelines.
Develop AI backend services and integrate chat interfaces, copilots, and dashboards.
Deploy and monitor AI systems while addressing performance, security, scalability, and responsible AI compliance.
Full Description
AI/ML Engineer1
Key Responsibilities
• Build and deploy LLM-based GenAI applications end-to-end
• Work with multiple LLMs (OpenAI/Azure OpenAI, Gemini, Claude, LLaMA, Mistral)
• Design and implement agentic and multi-agent systems using MCP and A2A
• Develop RAG pipelines and document intelligence solutions
• Use modern GenAI frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Google ADK, MS CoPilot)
• Build AI backend services using FastAPI and Flask
• Develop and integrate chat UIs, copilots, and dashboards with AI APIs
• Productionize, deploy, and monitor AI systems on cloud platforms
• Ensure performance, security, scalability, and Responsible AI compliance
Required Skills
• Strong Python programming with FastAPI and Flask
• Solid understanding of ML, Deep Learning, NLP, and GenAI concepts
• Hands-on experience with LLMs, embeddings, and prompt engineering
• Experience designing agentic systems with MCP / A2A
• Expertise in RAG architectures and vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus)
• Working knowledge of front-end technologies: HTML, CSS, JavaScript, Stremlit; React preferred
• API design and integration (REST / WebSockets)
• Strong deployment & MLOps experience: Azure / AWS / GCP, Docker, Kubernetes, CI/CD, MLflow / Azure ML / SageMaker / Vertex AI
Good to Have
• Fine-tuning open-source LLMs (LoRA, PEFT, Hugging Face)
• Experience with autonomous agents and async workflows
• Exposure to RPA + Agentic AI integration
• Knowledge of AI governance, monitoring, and security