At a Glance
- Tasks: Lead the development of an innovative AI platform transforming industrial workflows.
- Company: Exciting AI-driven startup with a focus on cutting-edge technology.
- Benefits: Massive equity potential, technical ownership, and a dynamic work environment.
- Other info: Collaborate directly with customers and tackle complex challenges in a fast-paced setting.
- Why this job: Join a foundational team and make a real impact in the chemical industry.
- Qualifications: Experience in shipping end-to-end products and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Company Description: AI-driven industrial SaaS startup.
As a Founding Engineer, you will spearhead the development of an agentic platform disrupting traditional industrial workflows. You will own the entire stack, from building sophisticated multi-agent orchestration systems to deploying scalable microservices. This is a high-impact role for a cracked engineer who thrives in ambiguity and ships end-to-end solutions.
Location: San Francisco, USA.
Why this role is remarkable: Join a well-funded startup as a foundational team member with massive equity potential and technical ownership. Work at the bleeding edge of AI, building complex systems with agentic orchestration, MCP servers, and RAG. Tackle real-world complexity in the chemical industry by automating workflows that were previously manual and friction-heavy.
What you will do:
- Build and optimize agentic tool orchestration and multi-agent systems using Pydantic AI and chain-of-thought reasoning.
- Own the end-to-end lifecycle of features, from React/Next.js frontends to Postgres and containerized microservices on AWS.
- Collaborate directly with customers to iterate on product direction and integrate various APIs via REST, OAuth2, and webhooks.
The ideal candidate:
- Has a couple of years of experience post-university and a proven track record of shipping end-to-end products.
- Deeply understands information retrieval, message brokers like Redis/Kafka, and security considerations specific to LLM systems.
- Highly agentic personality who works on side projects for fun and possesses an obsessive, problem-solving mindset.
Required skills: AWS, REST, Redis, Kafka, Microservices, React, SaaS, Postgres.
English language proficiency.
Founding Engineer: AI Agentic Orchestration for Industrial SaaS employer: Jack & Jill
Join a pioneering AI-driven industrial SaaS startup in San Francisco, where you will play a crucial role as a Founding Engineer, shaping the future of agentic orchestration in the chemical industry. Enjoy a vibrant work culture that fosters innovation and collaboration, with significant equity potential and opportunities for personal and professional growth as you tackle complex challenges at the forefront of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer: AI Agentic Orchestration for Industrial SaaS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and orchestration systems. We want to see your problem-solving mindset in action, so make sure to highlight your best work.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and thought processes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission to disrupt traditional workflows in the industrial sector.
We think you need these skills to ace Founding Engineer: AI Agentic Orchestration for Industrial SaaS
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and industrial SaaS shine through. We want to see how you can contribute to our mission of disrupting traditional workflows with innovative solutions.
Highlight Relevant Experience:Make sure to showcase your experience with multi-agent systems, microservices, and any relevant projects you've worked on. We’re looking for someone who has a proven track record of shipping end-to-end products, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand. Avoid jargon unless it’s absolutely necessary!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity as a Founding Engineer.
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, React, and Postgres. Brush up on your knowledge of microservices and message brokers like Redis and Kafka, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems, especially in a SaaS or industrial context. Highlight any side projects that demonstrate your agentic personality and obsessive problem-solving mindset.
✨Understand the Company’s Vision
Research the startup's mission and how they aim to disrupt traditional workflows with AI. Be ready to share your thoughts on their approach and how you can contribute to building their agentic platform.
✨Prepare for Customer Collaboration Questions
Since the role involves direct collaboration with customers, think about past experiences where you’ve gathered feedback or iterated on product direction. Be prepared to discuss how you would integrate various APIs and work with clients to refine solutions.
