We are looking for a Senior Full-Stack Engineer to join us in building a new production-grade system for the enterprise from scratch. This is a role for an experienced engineer who knows what it takes to bring such a system to production end to end, and treats AI as a core part of the toolkit, both as a force multiplier in how they build and as a first-class capability in what they build. In this role, you will be a key member of our growing team of developers, data scientists, and analysts. You will build a complex, data-intensive system that is powered by LLMs and intelligent agents, and provides a delightful experience to our users.
Responsibilities:
Help architect and build a new AI-native system from the ground up, making foundational design and technology decisions.
Own features end to end, from design through production, deployment, and maintenance.
Build AI-powered product features - integrate LLMs, RAG pipelines, agents, and ML models into production with attention to performance, reliability, guardrails, and observability.
Work AI-natively - use AI coding assistants and agentic tools to accelerate design, implementation, testing, and review, while owning correctness and quality.
Establish and improve the platforms, patterns, and tooling the team builds on.
Requirements: At least 7 years of hands-on experience as a full-stack engineer, including senior-level ownership of design and delivery.
Strong full-stack proficiency in a Linux ecosystem across modern languages, frameworks, and runtimes (e.g., Python, JavaScript, TypeScript, React, Node.js).
Experience building client/server applications that serve thousands of users or more with user-friendly web interfaces, complex application logic, and robust databases.
Practical experience with AI-assisted development workflows.
Experience working with production systems, including feature delivery, deployments, and ongoing maintenance.
Strong ownership and sense of responsibility with excellent teamwork and communication skills.
Advantages:
B.Sc. in Computer Science, Software Engineering, or a related field.
Experience building systems that integrate self-hosted LLMs or third-party AI APIs.
Experience building agentic AI-native systems.
Exposure to ML/AI fundamentals - model training, fine-tuning, and serving.
This position is open to all candidates.