Software Engineer

Boson AI USA Inc.
Santa Clara, United States
1 day ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Airflow Amazon Web Services C++ (Programming Language) Cloud Computing Continuous Integration Extract Transform Load (ETL) Distributed Systems Fault Tolerance Python (Programming Language) Open Source Technology
+20 more
Software Engineering Rust (Programming Language) Data Logging Data Processing Large Language Models Multi-Agent Systems Apache Spark Caching Backend Rate Limiting Kubernetes Apache Flink Apache Kafka Machine Learning Operations Video Streaming Software Version Control Data Pipelines Api Management Docker Golang

Job description

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., * Contribute 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 grow.

  • Help 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 engineers.
  • Build and maintain pieces of our data pipelines (ETL/ELT) for API logs, usage analytics, and billing, with a focus on data correctness and freshness.
  • Develop and improve internal SDKs and libraries - writing clean, well-tested code with clear contracts that product teams can rely on.
  • Support our context and memory systems for conversational workloads: retrieval, caching, and integration with vector stores and retrieval pipelines.
  • Add observability across the platform - structured logging, tracing, and metrics - and help investigate and resolve reliability issues.
  • Collaborate with ML and product teams to integrate model serving, voice runtime, and tooling infrastructure, learning how the full stack fits together.

Requirements

  • 0-2 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 work.
  • Solid 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 production.
  • Some exposure to building backend services, APIs, or data processing - through work, coursework, or projects.
  • Proficiency in at least one language such as Python, Go, Java, Rust, or C++, and a willingness to pick up new ones.
  • Familiarity with the basics of cloud infrastructure (AWS/GCP), containers (Docker/K8s), version control, and CI/CD - or clear enthusiasm to learn them quickly.
  • Curiosity, strong communication, and a collaborative mindset - you ask good questions, welcome feedback, and want to grow., * Coursework, projects, or internship experience touching LLM serving, retrieval, or agentic systems.
  • Exposure to data pipeline tools (Kafka/Kinesis, Spark/Flink, Airflow) or agent frameworks.
  • Experience with real-time media (audio/video streaming) or any latency-sensitive system.
  • A track record of shipping something end-to-end - a side project, a hackathon build, or an open-source contribution you’re proud of.

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

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Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

4:18 min

Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · World Congress 2021

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Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Event-driven Golang backend architecture and cloud deployment

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