Software Engineer - Platform & Application

About Boson AI: At Boson AI, we are not just building AI solutions; we are pioneering the future of enterprise AI. Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large language models and agentic systems, our mission is to tackle the most complex real-world problems for businesses and unlock significant value. We are a dynamic and collaborative team of researchers and engineers who thrive on pushing the boundaries of what's possible, dedicated to delivering high-quality, reliable products that seamlessly integrate into the fabric of enterprise workflows and set new industry standards.About the Role: Help build and operate the core platform behind Boson's model APIs and agentic products. You'll work alongside senior engineers on the infrastructure that every Boson agent runs on — API serving, state management, data pipelines, context retrieval, and execution runtime — shipping real features while growing into deeper ownership over time. This is a role for someone early in their career who wants to learn distributed systems by building them, with strong mentorship and meaningful production responsibility from day one.ResponsibilitiesContribute to the core platform infrastructure: the API serving layer, state management, policy enforcement, and execution runtime for agentic workflows — starting with well-scoped components and taking on broader ownership as you growHelp build and maintain distributed services that back our model API products, including request routing, rate limiting, and multi-tenant isolation, under the guidance of senior engineersBuild and maintain pieces of our data pipelines (ETL/ELT) for API logs, usage analytics, and billing, with a focus on data correctness and freshnessDevelop and improve internal SDKs and libraries — writing clean, well-tested code with clear contracts that product teams can rely onSupport our context and memory systems for conversational workloads: retrieval, caching, and integration with vector stores and retrieval pipelinesAdd observability across the platform — structured logging, tracing, and metrics — and help investigate and resolve reliability issuesCollaborate with ML and product teams to integrate model serving, voice runtime, and tooling infrastructure, learning how the full stack fits togetherQualifications0–2 years of professional software engineering experience (internships, co-ops, and strong personal or open-source projects count), or a recent CS degree with equivalent hands-on workSolid programming fundamentals and a genuine interest in backend and distributed systems — you understand concepts like concurrency and fault tolerance and are eager to apply them in productionSome exposure to building backend services, APIs, or data processing — through work, coursework, or projectsProficiency in at least one language such as Python, Go, Java, Rust, or C++, and a willingness to pick up new onesFamiliarity with the basics of cloud infrastructure (AWS/GCP), containers (Docker/K8s), version control, and CI/CD — or clear enthusiasm to learn them quicklyCuriosity, strong communication, and a collaborative mindset — you ask good questions, welcome feedback, and want to growBonus pointsCoursework, projects, or internship experience touching LLM serving, retrieval, or agentic systemsExposure to data pipeline tools (Kafka/Kinesis, Spark/Flink, Airflow) or agent frameworksExperience with real-time media (audio/video streaming) or any latency-sensitive systemA track record of shipping something end-to-end — a side project, a hackathon build, or an open-source contribution you're proud ofWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.