Senior AI/Machine Learning Engineer - Python | TheLoops

About TheLoops

TheLoops, an IFS company, is the first enterprise-grade AI Agent platform designed 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.

Job Description

As a Senior AI/ML Engineer, you will design, develop, and deploy enterprise-scale AI systems that power intelligent agents, copilots, and autonomous workflows. You will combine strong software engineering expertise with advanced AI/ML knowledge to build scalable, production-grade solutions leveraging LLMs, agent frameworks, retrieval systems, and modern cloud platforms.

You will work closely with engineering, product, and domain experts to deliver high-quality AI solutions that drive measurable business value. You will contribute to the evolution of our AI platform by building reliable, secure, observable, and scalable systems while helping establish engineering best practices and sharing technical expertise with the broader team.

Qualifications

• 5+ years of software engineering experience, including 2+ years building AI/ML-powered applications in production environments.
• Strong proficiency in Python and experience designing backend systems and APIs.
• Experience with LLMs, agent frameworks, RAG architectures, vector databases, embeddings, and AI orchestration platforms.
• Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms.
• Solid understanding of software architecture, cloud-native development, microservices, and scalable system design.
• Experience building and operating production applications in cloud environments.
• Strong problem-solving, debugging, and performance optimization skills.
• Effective communication and collaboration skills.

Preferred Experience

• Built agentic AI systems, copilots, multi-agent workflows, or autonomous enterprise applications.
• Experience with AI evaluation frameworks, LLM observability, AI governance, and responsible AI practices.
• Experience with Azure, AWS, or GCP AI ecosystems.
• Experience integrating enterprise platforms such as ERP, CRM, ITSM, HR, Finance, or Developer ecosystems.
• Experience mentoring junior engineers or supporting technical onboarding.