Senior Engineer, Agentic AI & MLOps Engineering (5-8 years)

Job Description As our AI practice scales, we are seeking an experienced AI Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale. You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds. This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide. Required skills & experience: - Strong hands-on engineer who can Design, build, and deploy agentic AI systems using LLMs, tool orchestration, and multi-agent workflows. Experience building multi-agent systems or autonomous workflows. - Proven expertise to structurally debug the AI production issue and apply the right fix. - Experience evaluating the Agents so that the production system remain robust. - Develop and optimize MLOps pipelines, RAG, vector databases and retrieval strategies. - Build robust prompt frameworks, evaluation pipelines, and guardrails for safe and reliable AI behaviour. - Integrate LLM-based systems with enterprise APIs, data platforms, and operational systems. - Implement observability, feedback loops, and performance monitoring for agentic systems in production.