AI Engineer

Job Description: AI Engineer (GenAI / Agentic AI) About the Role: We are seeking an experienced AI Engineer with strong expertise in Generative AI and Agentic AI , combined with solid production engineering capabilities. The ideal candidate will need to have hands-on experience building, deploying, and scaling LLM-powered systems moving beyond prototypes into robust, enterprise-grade AI applications. Key Responsibilities: Design, build, and deploy GenAI / Agentic AI solutions , including: LLM pipelines Retrieval-Augmented Generation (RAG) systems o Autonomous AI agents Develop scalable APIs, microservices, and model-serving architectures using cloud platforms (Azure preferred). Implement: Prompt engineering and prompt workflows o Embeddings and vector search Guardrails and safety mechanisms for responsible AI Deploy production AI systems using: Docker, Kubernetes o CI/CD pipelines Monitoring and observability frameworks Integrate AI solutions with enterprise systems, data sources, and external APIs. Ensure reliability, performance, compliance, and alignment with Responsible AI standards. Must-Have Skills (GenAI / Agentic AI): Hands-on experience in Generative AI development using models such as: o GPT, Claude, Llama, Mistral, etc. Strong experience in Agentic AI , including: Multi-step AI agents o Tool-calling workflows o Autonomous task pipelines Expertise in RAG architectures and vector databases such as: Pinecone, FAISS, Chroma, Azure Cognitive Search Proficiency in Python or JavaScript/TypeScript . Experience with frameworks like: o Azure OpenAI, LangChain, LlamaIndex, or similar Strong production engineering skills: Docker, Kubernetes o CI/CD pipelines API development and deployment best practices Nice to Have: Model fine-tuning, quantization, or optimization experience. Familiarity with LLM evaluation frameworks such as: o Ragas, TruLens, DeepEval Exposure to event-driven or real-time AI systems.