Architect and implement scalable infrastructure to support LLM-based Agentic systems, including multi-agent pipelines, and real-time orchestration.
Design APIs, SDKs, and internal tooling to accelerate productivity through AI agent adoption.
Drive developer advocacy by partnering to produce technical content, samples, and reference architectures that simplify integration with our platform.
Partner with cross-functional stakeholders to align technical solutions with product strategy, ensuring high developer productivity and agent performance.
Provide consulting and hands-on support to teams integrating with our agentic marketplace, advocating for best practices and evolving the ecosystem based on feedback.
Contribute to AI/ML research initiatives where applicable, representing Upwork at conferences and in technical communities.
Requirements
Proven experience designing and deploying agent architectures, protocols, or LLM-powered workflows in production environments.
Strong engineering foundation with expertise in Python and Agent frameworks (e.g., LangChain, Autogen) and protocols (e.g., MCP, A2A).
Demonstrated success building developer platforms, APIs, SDKs, tools, or frameworks focusing on usability, extensibility, and developer support.
Familiarity with developer relations or solutions engineering, including documentation, demos, and consultative technical work.
You have a growth mindset, strong communication skills, and an inclusive approach to leadership.
Benefits
comprehensive medical coverage for you and your family
unlimited PTO
401(k) plan with matching
12 weeks of paid parental leave
Employee Stock Purchase Plan
Applicant Tracking System Keywords
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