Senior Software Engineer @ Maersk
Senior Software Engineer – Back end and Inferencing– Technology (Maersk)This position will be based in India – Bangalore/PuneA.P. Moller - MaerskA.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.The BriefWe are seeking a Senior Software Engineer with deep backend expertise to lead the development of scalable infrastructure for LLM inferencing, Model Context Protocol (MCP) integration, Agent-to-Agent (A2A) communication, prompt engineering, and robust API platforms. This role sits at the core of our AI systems stack — enabling structured, contextual, and intelligent communication between models, agents, and services. You'll design modular backend services that interface seamlessly with inferencing engines, orchestrate model contexts, and expose capabilities via APIs for downstream products and agents.What I'll be doing – your accountabilities?Architect and implement backend services that support dynamic model context management via MCP for LLM-based systems.Build scalable and token-efficient inference pipelines with support for streaming, context merging, memory, and retrieval.Enable Agent-to-Agent (A2A) messaging and task coordination through contextual protocols, message contracts, and execution chains.Design and maintain developer-friendly, secure, and versioned APIs for agents, tools, memory, context providers, and prompt libraries.Lead efforts in prompt engineering workflows including templating, contextual overrides, and programmatic prompt generation.Collaborate across engineering, ML, and product teams to define and implement context-aware agent systems and inter-agent communication standards to enable closed-loop enterprise AI Services ready for consumption by the enterprise.Own end-to-end delivery of infrastructure, inferencing, back-end, API and communication management in… Apply To This Job