Ai Engineer
5 days ago
**Join us at Lasso**:
Lasso is an AI-powered agent designed to manage and resolve issues in production environments autonomously. It uses an LLM based reasoning engine to react to, interpret, and implement solutions to production issues, even those it's encountering for the first time.
Technology companies are grappling with the complexity of production environments, distracting engineers from their core task of software development. Engineers are drowning in a sea of observability data, but still require manual intervention to solve problems.
We envision a future where engineers can concentrate on software development while Lasso takes care of the production environment. Our mission is to develop autonomous software that can manage, repair, and optimize itself—the holy grail.
Now is a magical time to join. We're a small group of veterans in AI, software, and infrastructure, backed by a leading AI venture capital firm and Silicon Valley angels.
**About the role**:
**Ideally, these qualities describe you**:
- You’re obsessed with the customer.
- You have a solid foundation in software engineering and are comfortable with Python, TypeScript, and Go.
- You love building with generative AI and have a track record of shipping projects. You may have a background in ML, or maybe you’re self taught.
- You have experience in integrating, tuning, or training foundation models. Either locally or using managed services.
- You understand how to build an evaluation stack for your projects. You’re test driven by nature.
- You move quickly. You’re already augmented by LLMs. You are able to rapidly evaluate, apply, and productize AI technologies.
- You are skilled in using a range of AI tools for chaining, retrieval, and vector search, and evaluations.
- You have a strong grasp of prompt engineering, enabling you to effectively interact with language models to elicit desired responses or behaviors.
**Examples of what you’ll do**:
- As an AI Engineer, you will work closely with the product team to enhance the performance and accuracy of our LLM-based reasoning engine, memory module, evaluation stack, and simulation environment.
- You will help us iterate towards product-market fit in an early-stage, open-ended environment.
- Embody our end users (engineers with operational responsibilities), immersing yourself in their needs, pains, and aspirations.
**How we work**:
- Less is more: Small teams deliver impactful outcomes. Our focus is on meaningful work rather than long hours.
- Culture is critical: We value excitement and chemistry. We only bring in the right people who align with our vision.
- Transparent compensation: We’ll give you levers to adjust your compensation. $120k-$160k base, and 0.5-1% equity. 401k matching. Great healthcare.
- We’re in-person: We move faster when we work from the same room. We have offices in Singapore and San Francisco. We’re flexible, but prefer in-person.
- An AI-first approach: We don't simply build AI products; we augment ourselves with it.
**Interview process**:
The whole process takes less than one day
- Screen: A quick call with one of the founders.
- Technical assessment: You don’t have to grind Leetcode for weeks. We just need to work through a problem together in a call to understand how you think.
- Culture fit: We’ll talk through your background, what drives you, and share a bit more about our team and culture.
- Food: Grab lunch or dinner with us
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