Developer Experience Engineer - IFS Loops

IFS North America, Inc.; Palo Alto (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

IFS North America, Inc. is seeking 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 and AI capabilities. You will build sample agents, reusable templates, and reference implementations, while testing real-world use cases and turning insights into platform improvements.

Qualifications

• 24 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.
• 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.

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.

Skills

LLMs

Generative AI

Python

TypeScript

JavaScript

APIs

Cloud services

Debugging

Tools

MCP

AI SDKs

Agent frameworks

Developer tools

Job description

Full-time

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really mattersat the Moment of Service. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, were flexible, were innovative, and were focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of societys greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

Were looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, well help you make your moment. Join Team Purple. Join IFS.

Job Description

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.

What You'll Do

Build

• 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.

Enable

• 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.

Validate

• 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.

Document

• 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.

Bridge

• 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.

Qualifications

What You'll Bring

• 24 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 Have

• 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.