Staff AI Engineer
Posted on:
August 8, 2025
Job description
The Role 🥳
We’re seeking exceptional staff-level engineers (full-stack) to join our team and build next-generation AI-powered applications. This role would be ideal for individuals who are excited by the intersection of software development and applied AI.
This is not your traditional ML engineer/ MLops role. Your day to day will be varied and you’ll work on building real, user-facing AI features—powering workflows, tools, and experiences that leverage large language models and agents across the product. Expect to dive deep into prompt engineering, AI-powered backend services, and full stack implementations (APIs, microservices, and frontends alike).
You’ll collaborate closely with a visionary product and engineering team, contribute to our open-source SDKs, expand internal agent frameworks, and shape the future of AI agent interfaces and infrastructure.
Responsibilities
Your impact💥
- Develop Agents and Multi-agent systems: Design and implement AI agent and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.).
- Develop Tools for agents: Develop complex tools for agents like computer use, browser use, etc.
- Multi-agent orchestration and tool calling: Research and develop systems on how agents should collaborate, and how agents should call tools.
- Fullstack development: Build and maintain production-grade APIs and AI-powered features, from backend services to user-facing experiences.
- Evaluate and improve: Evaluate AI’s performance using evaluations and tests to then iterate on prompts, agent tools and agents orchestration to improve output quality and reliability.
Job requirements
What We’re Looking For 🧠
- Proven staff-level experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilise Gen AI/ LLMs / RAG.
- Strong programming skills in Python and Typescript, including experience using AI-assisted coding tools.
- Deep understanding of foundational models, prompt engineering, and fine-tuning techniques.
- Understanding of software design, service architecture, and scalable systems.
- Passion for building AI-enhanced user experiences, not just theoretical ML solutions.
- Prior start-up or tech company experience is a plus—especially where you’ve worn multiple hats or shaped early products.
- Bonus: Side projects or open-source contributions involving building AI agents, RAG pipelines, or open-source LLM tooling.
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