Developer Experience Engineer - IFS Loops

IFS•Palo Alto, CA

2d•$97,000 - $130,000•Hybrid

About The Position

We are looking for a Developer Experience Engineer to help make Agentic Studio easier to build with, adopt, validate, and scale across Engineering, Product, FDEs, Presales, and Partners. This is a hands-on engineering role at the intersection of developer experience, agentic AI, technical enablement, and product validation. You will build sample agents and reference implementations, create reusable patterns and templates, dogfood new platform capabilities, test real-world use cases, and work closely with Engineering and Product to turn what you learn into improvements to Agentic Studio. This is not a traditional Developer Relations, documentation, or training role. You will be expected to build, experiment, test, troubleshoot, and work directly with the platform. The role involves building sample agents and reference implementations, creating reusable templates, patterns, and examples, building feature validation environments and proof-of-concepts, experimenting with new agentic patterns, tools, integrations, MCPs, and AI capabilities, and turning real-world use cases into working examples. You will also identify opportunities to simplify the developer experience, help onboard teams to Agentic Studio, create technical workshops, demos, and examples, help teams understand how and when to use different capabilities, support technical enablement, and create reusable technical assets. Additionally, you will dogfood new capabilities, test features against realistic use cases, identify gaps, challenge new capabilities, reproduce issues, provide feedback to Product and Engineering, and help validate readiness for adoption. You will also create how-to guides, define patterns and anti-patterns, create reference architectures, develop adoption playbooks, keep guidance aligned with platform capabilities, and turn lessons learned into reusable knowledge. Finally, you will work closely with Engineering to communicate friction and use cases, partner with Product Managers, work with FDEs to identify patterns, support Presales with demos, and translate field learnings into improvements.

Requirements

2–4 years of software engineering or related technical experience.
Hands-on experience building applications using LLMs or generative AI.
Strong programming skills in Python, TypeScript, JavaScript, or a similar language.
Experience working with APIs, integrations, and cloud-based services.
Understanding of modern AI application concepts such as agents, tool/function calling, RAG, prompts, evaluations, and guardrails.
Ability to quickly learn new technologies and turn them into working prototypes.
Strong debugging and problem-solving skills.
Excellent written and verbal communication skills.
Ability to explain technical concepts clearly to both technical and non-technical audiences.
A strong bias toward experimentation, learning, and building.
Comfortable working across Engineering, Product, FDE, and Presales teams.

Nice To Haves

Experience building agentic applications or AI-powered enterprise software.
Experience with MCP, agent frameworks, AI SDKs, or similar technologies.
Experience creating developer tools, SDK examples, templates, or reference implementations.
Experience with enterprise applications, workflow automation, or business processes.
Experience creating technical demos, workshops, or enablement content.
Familiarity with AI application testing, evaluation, observability, or monitoring.
Experience working with developer platforms or APIs.

Responsibilities

Build sample agents and reference implementations that demonstrate Agentic Studio capabilities.
Create reusable templates, patterns, and examples for common enterprise AI use cases.
Build feature validation environments and proof-of-concepts for new platform capabilities.
Experiment with new agentic patterns, tools, integrations, MCPs, and AI capabilities.
Turn real-world use cases into working examples that can be reused by Engineering, FDEs, Presales, and Partners.
Identify opportunities to simplify the developer experience through better tooling, examples, and platform capabilities.
Help onboard Engineering, FDEs, Product Managers, Presales, and Partners to Agentic Studio.
Create hands-on technical workshops, demos, walkthroughs, and examples.
Help teams understand how and when to use different Agentic Studio capabilities.
Support technical enablement for new features and releases.
Create reusable technical assets that help teams become productive without requiring direct engineering support.
Dogfood new Agentic Studio capabilities before and during releases.
Test new features against realistic enterprise AI use cases.
Identify usability, technical, workflow, and developer-experience gaps.
Challenge new capabilities from the perspective of someone actually building agents.
Reproduce issues and work with Engineering to diagnose and resolve them.
Provide structured feedback and recommendations to Product and Engineering.
Help validate whether new platform capabilities are ready for broader adoption.
Create practical how-to guides and technical implementation examples.
Define patterns and anti-patterns for building agents with Agentic Studio.
Create reference architectures and recommended implementation approaches.
Develop technical adoption playbooks for common scenarios.
Keep examples and guidance aligned with the latest platform capabilities.
Turn lessons learned from real implementations into reusable knowledge.
Work closely with Engineering to communicate real-world developer friction and use cases.
Partner with Product Managers to validate requirements and feature experiences.
Work with FDEs to identify recurring patterns across implementations.
Support Presales with technically credible demos and reference implementations.
Help translate field and customer learnings into actionable improvements for Agentic Studio.