About AirSignal
We're a seed-stage, VC-backed startup building intelligent applications to transform internal data into actionable insights. Operating in a fast-paced, dynamic environment, we thrive on ingenuity, adaptability, and a shared passion for pushing the boundaries of what's possible with AI and modern distributed systems.
Role Overview
We're seeking a Senior/Staff Software Engineer to architect and build the core systems that power our enterprise applications.You'll design high-performance data pipelines, implement scalable backend systems, and work directly with cutting-edge AI technologies. This role requires a builder mentality, deep technical expertise, high agency, a proactive mindset, and the ability to thrive in an environment where customer feedback and market shifts drive rapid iteration.
Key Responsibilities
• Production ML Infrastructure: Design and implement performant and scalable analysis pipelines pipelines processing thousands of requests per day with strict performance and precision targets
• Distributed Data Processing: Build event-driven systems handling streaming and batch workloads across multiple data sources
• Graph Intelligence Pipelines: Architect data flows from data ingestion through LLM processing to relationship/graph storage
• Scalable Backend Systems: Own end-to-end features from prototype to production, including instrumentation, observability, and reliability patterns
Qualifications
• 6+ years building production systems with demonstrated experience in distributed systems, high-throughput APIs, or real-time data processing
• Modern Python expertise: Strong asynchronous programming knowledge and experience (asyncio, multiprocessing, etc.), type systems (Pydantic), and production Python practices
• System design for reliability: Track record implementing monitoring, incident response, capacity planning, and failure recovery
• Production deployment experience: Understanding of containerization, cloud infrastructure, and infrastructure-as-code
Preferred, Optional Qualifications
• Experience with event-driven and/or job execution architectures
• Graph database expertise: Deep experience with graph data modeling, query languages (Cypher, Gremlin), and performance tuning
• NoSQL at scale: Production experience with non-relational databases including data modeling, consistency patterns, and operational challenges
• Previous startup experience
• Open-source contributions or technical writing/speaking
Why Join Us?
• Collaborate closely with leadership on high-impact projects that shape internal systems and operational scale
• Work in a flexible, fast-paced environment where autonomy and clarity are valued
• Join a team that invests in building thoughtful infrastructure to support long-term growth
