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 (Re.

Act, Chain-of-Thought, planning) Familiarity with frameworks such as Lang. Chain, Lang. Graph, 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