Generative AI Engineer
About This Role
We are looking for a Generative AI Engineer to design, build, and deploy LLM‑powered applications such as AI assistants, chatbots, and knowledge‑based systems. The role focuses on production‑grade Generative AI , not research only.
You will work closely with product, data, and engineering teams to deliver reliable, scalable, and secure GenAI solutions .
🔹 Key Responsibilities
- Design and develop Generative AI applications using Large Language Models (LLMs)
- Build Retrieval‑Augmented Generation (RAG) pipelines for document and knowledge search
- Implement prompt engineering and context‑management strategies
- Integrate LLMs with enterprise systems via APIs and tools
- Work with vector databases for semantic search and retrieval
- Deploy and monitor GenAI solutions in production environments
- Evaluate model performance, reduce hallucinations, and ensure output quality
- Collaborate with cross‑functional teams on AI use cases and architecture
🔹 Required Skills & Experience
- 5+ years of experience as an AI / ML Engineer , with hands‑on GenAI experience
- Strong proficiency in Python
- Solid experience with LLMs (GPT, Claude, LLaMA, Mistral, etc.)
- Hands‑on experience with RAG architectures
- Experience with prompt engineering
- Experience using frameworks such as LangChain / LlamaIndex
- Familiarity with API development and system integration
- Experience deploying AI solutions using Docker / Cloud platforms
🔹 Nice to Have
- Experience with AI agents / agentic workflows
- Exposure to MLOps / LLMOps
- Experience with Azure OpenAI or similar cloud AI services
- Background in government or large‑scale enterprise systems
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