ML Software Engineer (Python)

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 matters–at 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, we’re flexible, we’re innovative, and we’re 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 society’s 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.

We’re 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, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

About IFSLoops

IFSLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes.

As the company grows, we are looking for mission-driven individuals to help deliver the future of AI-powered operations.

At IFSLoops, we:

Lead with Curiosity: We ask questions, learn, and communicate with respect for each other.

Learn by Making: We iterate fast to deliver tangible solutions with humility.

Listen to the Loop: We use data and feedback to map our path to success and measure it with autonomy and empathy.

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.

We’re 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, we’ll help you make your moment. Join Team Purple. Join IFS.

Key Responsibility

What You'll Do

Design, build, and maintain the platform that enables creation and deployment of AI agents at production scale.

Develop agents end-to-end — from scoping and prototyping to evaluation and deployment — across real-world customer use cases.

Architect and implement LLM-powered systems using modern patterns: tool-use, RAG, multi-agent orchestration, structured outputs, and memory.

Own prompt engineering and context construction strategies; run systematic experiments to improve agent behavior and reliability.

Build evaluation frameworks and feedback loops that surface real-task data back into research and iteration cycles.

Translate loosely defined business or customer problems into well-scoped, production-ready ML solutions.

Guide architecture decisions and contribute to engineering best practices across the team.

Stay current on the latest LLM capabilities, agent frameworks, and AI product development stacks — and bring that knowledge into the team's work.

Qualifications

Required Experience and Education

What We're Looking For

3–6 years of software or ML engineering experience, with meaningful time spent in production environments.

Strong Python proficiency and experience shipping production-grade applications.

Hands-on experience building with LLMs: prompt engineering, agent development, tool use, RAG, and evaluation.

Strong understanding of LLM implementation patterns — how to structure context, design tool-use flows, and build reliable multi-step agent pipelines — without relying on high-level abstractions.

Strong fundamentals in at least one of: ML, software engineering, systems design, or applied research — with the ability to learn quickly across unfamiliar parts of the stack.

Comfort working on zero-to-one problems with real ambiguity and high ownership.

Nice to Have

Experience with model evaluation, LLM fine-tuning or prompt optimization workflows.

Exposure to MLOps practices: experiment tracking, model serving, CI/CD for ML.

Experience building APIs (FastAPI, Flask) to expose model capabilities.

Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker).

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.