Senior Software Engineer - Infrastructure / Platform (AI Startup)

Job Description

Job Description

Build the Infrastructure Powering the Next Generation of AI

Are you passionate about building highly scalable distributed systems that power cutting-edge AI applications?

We're partnering with a rapidly growing, venture-backed AI startup that's building the infrastructure behind some of the world's most advanced artificial intelligence systems. This is an opportunity to work alongside exceptional engineers and researchers while solving complex infrastructure challenges at scale.

If you thrive in fast-paced environments, enjoy owning critical systems from architecture through production, and want your work to directly influence the future of AI, we'd love to hear from you.

What You'll Do

• Design and build scalable platform and infrastructure services supporting AI data generation and evaluation.
• Develop reliable, high-performance distributed systems capable of handling large-scale workloads.
• Build reusable backend services, APIs, and internal platforms that enable engineering teams to move faster.
• Design resilient cloud-native systems with strong monitoring, observability, and fault tolerance.
• Architect data pipelines, asynchronous workflows, and event-driven systems.
• Collaborate closely with software engineers, AI researchers, and technical leadership to solve challenging engineering problems.
• Help define engineering best practices around scalability, reliability, deployment, and system design.

What We're Looking For

• 5+ years of professional software engineering experience.
• Strong experience building production distributed systems or platform infrastructure.
• Proficiency in Python and/or JavaScript (Node.js/Next.js) .
• Experience with cloud platforms such as AWS or Google Cloud Platform (GCP) .
• Hands-on experience with event-driven architectures using technologies like Kafka, RabbitMQ, Pub/Sub , or similar.
• Strong understanding of scalability, asynchronous processing, performance optimization, and system reliability.
• Experience designing, deploying, and maintaining production systems at scale.
• Background in high-growth startups or top-tier technology companies is highly preferred.

Bonus Skills

• AI infrastructure or machine learning platform experience.
• Large-scale data processing pipelines.
• Workflow orchestration systems.
• Internal developer platforms.

\nCompany Description

We are an elite, high-growth AI research and infrastructure company building next-generation LLM interpretability and context optimization systems. Our custom ML models analyze and compress token contexts before they hit underlying models—slashing inference costs by ~50%, dropping latency, and boosting accuracy.

Just seven months post-launch with over 1,000 paying customers, we are backed by $11.7M from First Round Capital, Y Combinator, and the founders of Hugging Face, Slack, and Dropbox.

Company Description

We are an elite, high-growth AI research and infrastructure company building next-generation LLM interpretability and context optimization systems. Our custom ML models analyze and compress token contexts before they hit underlying models—slashing inference costs by ~50%, dropping latency, and boosting accuracy.\n\nJust seven months post-launch with over 1,000 paying customers, we are backed by $11.7M from First Round Capital, Y Combinator, and the founders of Hugging Face, Slack, and Dropbox.