Senior AI Engineer

We are looking for AI Engineers to design and deliver intelligent, agent-based solutions powered by Large Language Models (LLMs) and modern AI frameworks. You will work closely with cross-functional teams to embed Generative AI into products and services, building scalable solutions that drive real business impact. What You’ll Do Design and build agent-based AI solutions using LLMs and advanced frameworks Integrate Generative AI into production systems and business applications Develop APIs and backend services using Python (FastAPI / Flask) Deploy AI applications on Azure, AWS, or GCP using Docker, Kubernetes, and serverless technologies Optimize prompts, fine-tune LLMs, and implement MLOps/LLMOps pipelines Collaborate with product, engineering, and business teams in a fast-paced environment Requirements What You’ll Bring Strong proficiency in Python, including asynchronous programming Hands-on experience with Generative AI and LLM techniques (RAG, fine-tuning) Experience designing agent workflows (ReAct, Chain-of-Thought, planning) Familiarity with frameworks such as LangChain, LangGraph, Vertex AI, Claude SDK, or Microsoft Agent Framework Experience with cloud platforms (Azure, AWS, or GCP) and containerization Solid understanding of MLOps/LLMOps best practices Strong communication and problem-solving skills Experience Levels Junior (1–2 years): Build agent tasks, develop and test prompts, support deployments Mid-Level (3–5 years): Design workflows, optimize prompts, mentor junior engineers Senior (5+ years): Architect multi-agent systems, define standards, lead large-scale deployments Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Scrum or Project Management certification is a plus Immediate availability is advantageous