About the Role / About the Job
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
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Responsibilities
- Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
- Build and ship features for our AI workspace platform, working across the full product lifecycle from conceptualization through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
- Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
- Travel up to 20–40% to work on-site with customers and partners
Requirements
- You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
- You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
- You have experience owning the full scope of a use case end-to-end
- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
It's a Bonus If You Have:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
