AI/Machine Learning Engineer - Python | TheLoops

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.

About TheLoops

TheLoops, 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, it is looking for mission-driven individuals to help deliver the future of AI-powered operations.

At TheLoops, they:

• Lead with Curiosity: They ask questions, learn, and communicate with respect for each other.
• Learn by Making: They iterate fast to deliver tangible solutions with humility.
• Listen to the Loop: They use data and feedback to map their 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.

Job Description

As a Software Engineer, AI/ML, you will design, build, and optimize the backend systems that power intelligent agent workflows. You will work across data pipelines, APIs, and AI/ML frameworks to create reliable, scalable, and production-ready solutions. This role emphasizes strong software engineering fundamentals, with the added dimension of applying AI/ML concepts to real-world enterprise applications.What You'll Do
Backend & Systems Engineering

• Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality.
• Develop reusable libraries, APIs, and frameworks to accelerate AI-driven product capabilities.
• Ensure code quality, maintainability, and scalability through testing, CI/CD, and performance monitoring.

Applied AI/ML Engineering

• Implement and optimize workflows leveraging LLMs, embeddings, RAG systems, and vector databases.
• Integrate AI/ML libraries and external APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, Weaviate).
• Experiment with prompt engineering and fine-tuning to improve reliability and performance of deployed agents.

Collaboration & Delivery

• Partner with product and core engineering teams to translate requirements into technical solutions.
• Contribute to architecture decisions and internal technical documentation.
• Support the deployment of agents into enterprise environments with a focus on stability, accuracy, and scale.

Qualifications

• 2–5 years of professional experience as a Python Engineer / Backend Engineer (experience with AI/ML is a strong plus).
• Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations.
• Hands-on knowledge of AI/ML frameworks and tools (OpenAI, Hugging Face, LangChain, vector DBs, RAG).
• Understanding of system integration patterns and comfort working with RESTful APIs, JSON, and data pipelines
• Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus.
• Strong debugging, testing, and optimization skills.
• Ability to write clean, maintainable, and well-documented code.

What Success Looks Like in 3–6 Months

• Technical Depth: You’ll be proficient in the internal platform, building integrations and Python services with confidence.
• AI/ML Impact: You’ll have delivered backend components that integrate AI/ML capabilities into enterprise workflows.
• Engineering Excellence: You’ll contribute to reusable libraries, deployment pipelines, and system