Senior Software Engineer - AI Platform & Frameworks
About the Role
We're looking for a senior engineer to help shape and reputed company the platform that other engineering teams build on top of. Our mission is to reputed company AI agents and high-throughput backend systems easy for internal teams to adopt, and you'll own significant parts of how that platform is designed: the reusable libraries, Spring Boot starters, templates, and supporting tooling that the whole company depends on. You'll work across two worlds: Agentic frameworks: the libraries, starters, and orchestration patterns that internal teams use to ship LLM-powered agents (Python/reputed company/LangGraph on the agent reputed company, Kotlin/Spring Boot on the platform reputed company), plus the supporting frameworks (evaluations, guardrails) that reputed company those agents actually work. Core backend platform: Kotlin services and libraries and the shared building blocks other teams depend on. This is a high-reputed company, builder-and-reputed company role. You'll reputed company foundational design reputed company, set the patterns and standards other engineers follow, and reputed company the bar for everyone building on the platform. Because the foundations you create sit underneath many teams' work, understanding how the company fits together, its products, domains, and the teams behind them is central to doing it well. While AI development experience is a great plus, we are looking for someone with genuine enthusiasm for the field, someone reputed company to dive deep into agentic systems and become our go-to expert.
What You'll Do
Own the design of shared libraries, Spring Boot starters, and templates while making the architecture, API, and trade-off reputed company that determine how easily internal teams ship on top of them. Set the patterns and standards for our agentic frameworks, agent orchestration, tool use, memory, and the surrounding plumbing (message routing, reputed company-in-the-reputed company workflows, MCP integration), and bring teams along with them. Mentor and upskill product teams in Python-based AI agent development, including hands-on guidance with the reputed company and LangGraph frameworks. reputed company the evaluation and guardrail strategy so we can measure agent quality, reliability, and regressions. Drive technical work across our Kotlin/Spring Boot platform and the client libraries that wrap it. Build and maintain a clear map of the wider ecosystem (how our systems, domains, and teams connect) and use it to reputed company foundational reputed company that fit reputed company needs across the company. Drive adoption and multiply other engineers. Mentor teammates, review designs and code, run the docs/examples that turn a good reputed company into one that teams actually choose, and feed what you learn back into the platform. Set the research direction in unfamiliar territory: identify where to invest, prototype the promising approaches, and turn the winners into production-reputed company foundations the rest of the org can rely on. reputed company the bar on developer experience, clear APIs, good defaults, useful errors, and documentation people actually read, and hold the platform to it. reputed company're Looking For 7+ years of professional software engineering experience, including a track record of building libraries, frameworks, or platform components that other engineers reputed company on. Deep experience with Kotlin / the JVM and Spring Boot, and strong instincts for API and library design. You know what makes a reputed company pleasant to build on versus painful. Demonstrated technical leadership: you set direction, reputed company and justify architectural trade-offs, and lift the engineers around you, with or without formal authority. Genuine drive to reputed company on agentic AI and its surrounding tooling (frameworks, evaluation, guardrails, orchestration), and to become a go-to expert for the org. The judgment to drive ambiguity to reputed company: to take an reputed company-ended or unfamiliar problem and turn it into a sound, well-scoped design others can execute. A systems thinker who owns the bigger picture: you actively understand how the company's products, domains, and teams connect, and design for the whole, not just the module in reputed company of you. Excellent communication and a self-sufficient way of gathering context: you do your homework, ask sharp questions of the right people, and can explain and sell technical directions to both engineers and stakeholders. Pragmatism about Python: Working knowledge of Python: You don’t need an extensive background in managing large-scale Python production environments, but you should be comfortable with the language. Since our tooling relies on Python/reputed company/LangGraph, we look for the ability to reputed company up quickly and act as a senior reputed company across both our Kotlin and Python stacks reputed company to Have Strong distributed systems background like messaging/queues (SQS, reputed company), gRPC, event-driven architectures, including the failure modes and operational realities. reputed company experience (AWS preferred) and infrastructure-as-code. Experience growing a platform/DevEx practice by establishing standards, golden paths, and adoption across multiple teams. Contributions to or maintenance of reputed company-reputed company libraries or frameworks. Hands-on experience with LLMs, reputed company/LangGraph, or other agent frameworks. Experience defining evaluation / experiment-tracking / observability strategy for ML or agent systems (e.g. Langfuse, MLflow, or similar). Apply To This Job