Join Mirendil as a staff engineer to build innovative tools and architectures for frontier AI research.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 6 days ago
Skills & Technologies
AI in the day-to-day
We are building a frontier AI research company and training our own models end-to-end.
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the engineer focuses on enhancing the performance of AI models by developing efficient architectures and tools for researchers. Key skills include expertise in agent loop architecture, orchestration systems, and reliability mechanisms, as well as a strong understanding of model capabilities. This position is ideal for experienced engineers who enjoy building infrastructure that supports scalable AI applications. Mirendil is a tech-driven company aiming to advance AI research across various scientific fields.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Mirendil's career page.
- Mirendil has 13 other open roles including Executive Assistant & Operations , Member of Technical Staff, Kernels, Member of Technical Staff, Post-Training, RL Environments.
- 5186 active AI/ML roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Pays more than 89% of the 2252 salaried AI/ML roles we track (median $180,000). See AI/ML salary trends
Quick facts
- What's the salary range?
- Mirendil lists $300,000–$400,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
- What seniority level is this role?
- Mirendil targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff, Agent Harness role at Mirendil.
From the original posting
Mirendil
Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end.
The Role
We are looking for an engineer who is passionate about giving the model tools to perform the best it can. We want people who deeply understand model capabilities and can build efficient architectures for the model and researchers to work across. If you have a penchant for building your own tools, this role will be a good fit. Some example areas you might work on:
Build and innovate on the agent harness: agent loop architecture, tool integrations, prompt scaffolding, execution environments, and capability primitives
Design orchestration systems for horizontal scaling of agents: memory, state management, multi-agent coordination, and task decomposition
Build guardrails and reliability mechanisms that make long-horizon agentic tasks robust across failures, unexpected model behavior, and edge cases
Own the extension layer between our models and external tools, APIs, and environments - making it fast to bring new capabilities online
Develop evaluation and observability tooling so the team can measure agent behavior, catch regressions, and iterate quickly
If you're excited about building the infrastructure that makes agents actually work at scale, we'd love to hear from you.
We offer a base salary of $300,000–$400,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.
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