Principal Software Engineer
Our client, an early-stage, venture-backed AI Startup, is hiring a Principal Software Engineer to join the team remotely on an initial 12-month contract. The successful candidate will work closely with the technical co-founder to strengthen the platform’s architecture, expand engineering capacity and prepare the product for production.
Responsibilities
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Evaluate the existing codebase, system architecture and key technical decisions.
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Partner closely with the technical co-founder to prepare the platform for its initial production release.
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Design, build and maintain reliable backend services using Rust and Java.
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Develop high-performance proxy, gateway and networking capabilities for managing AI traffic.
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Enhance the platform’s performance, consistency, scalability and maintainability.
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Build robust observability, monitoring, logging and cost-management capabilities.
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Identify and address architectural risks ahead of deployments with design partners.
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Review, test and refactor AI-assisted code produced using tools such as Claude and Codex.
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Introduce pragmatic engineering standards across testing, documentation and code quality.
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Shape the long-term technical architecture as the company progresses from pre-commercial development to customer deployments.
Skillset
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Significant software engineering experience at Principal, Staff or Senior Staff level.
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Deep expertise in backend engineering and distributed systems architecture.
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Hands-on experience building proxies, gateways, networking infrastructure or high-performance data-processing systems.
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Strong proficiency in at least one systems or backend programming language, ideally Rust or Java.
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Experience designing, deploying and operating production infrastructure on AWS.
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A strong understanding of system reliability, scalability, latency and performance optimization.
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The ability to assess an early-stage codebase and implement pragmatic architectural improvements.
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Experience working within startups, innovation teams or similarly fast-moving and lightly structured environments.
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The confidence to work independently while collaborating closely with a technical co-founder.
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Familiarity with AI infrastructure, model gateways, observability or FinOps is a plus.
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