What You'll Do
You'll collaborate directly with customer engineering teams to design and implement robust, production-grade AI agents. This includes leading technical discussions during pre-sales, crafting proof-of-concepts, and ensuring successful deployment and operation of agent-based applications such as interactive assistants, automated research tools, and complex workflow orchestrators.
You’ll lead technical workshops, deliver hands-on training, and provide architectural guidance post-sale, helping teams adopt best practices and make informed roadmap decisions. You’ll also gather insights from the field to create reusable patterns, code examples, and practical guides that improve customer outcomes at scale. When it adds clear value, you may contribute code back to core platforms.
Requirements
- At least three years in a technical role involving software development, solutions engineering, or customer-facing engineering—preferably in a startup or fast-moving environment
- Strong foundation in Python and JavaScript, with deep understanding of systems design
- Experience building agent-based or LLM-driven applications that go beyond basic API usage, including multi-step logic, error resilience, and process orchestration
- Proven ability to engage with developer teams during technical evaluations, POCs, and architecture reviews
- Clear communicator who can articulate technical tradeoffs and earn trust with technical stakeholders
- Ownership mindset—you focus on results, not just advice
- Self-directed and action-oriented, comfortable learning on the fly
- Motivated by deploying AI agents into production, not just prototyping
Preferred Qualifications
- Production experience with AI agents built on LangChain, LangGraph, or similar frameworks
- Background in LLM evaluation, monitoring, or safety mechanisms
- Familiarity with cloud platforms (AWS, GCP, Azure), containerization, and Kubernetes fundamentals
- Track record of shipping and maintaining production software under real-world operational demands
Technical Stack
Python, JavaScript, LangChain, LangGraph, LangSmith, Fleet, AWS, GCP, Azure, Kubernetes, containers
Benefits
- Medical, dental, and vision coverage
- Flexible vacation policy
- 401(k)-equivalent plan with company contributions
- Meals provided on in-office days (for applicable regions)
- Locally competitive compensation and benefits aligned with EU, UK, and APAC standards
- Meaningful equity and variable compensation based on role
