We are looking for a Senior Software Engineer to lead the production systems for our Context Services team. You will serve as the bridge between our applied scientists/AI engineers and the central platform engineering team. In this role, you will focus on turning complex analytical solutions, ranging from traditional ML/DL models to modern LLM agents, into highly reliable, production-grade software services.

Responsibilities :

- Architecture and Scale : Design robust system architectures and develop low-latency APIs/services capable of supporting thousands of concurrent users with sub-second response times.

- Cross-Functional Problem Solving : Collaborate closely with product, architecture, and AI teams to translate complex industrial data problems into scalable solutions.

- AI and LLM Orchestration : Architect frameworks for model serving, vector databases, and agentic workflows (LLM agents), ensuring reliable state management and prompt tracking.

- Platform Integration : Act as the technical liaison with the central platform team, leveraging core infrastructure to build reliable AI pipelines and workflows.

- Innovation : Drive technical innovation through research, prototyping, and potential contributions to open-source initiatives.

Requirements :

- Experience : 6 - 10 years of industry experience in software engineering, backend engineering, or systems engineering, with exposure to AI, ML, or LLM-based production systems.

- Programming : Strong proficiency in Python and experience building high-concurrency applications, asynchronous programming, or REST/gRPC APIs.

- Systems : Solid understanding of containerization (Docker) and modern deployment environments (such as Kubernetes or cloud platforms).

- AI Knowledge : Familiarity with the broader AI lifecycle, including traditional model registries, vector databases, or LLM evaluation frameworks, is a major plus, but a strong ability to learn new paradigms is essential.