AI/Machine Learning Engineer - Python | TheLoops

IFS • San Francisco, CA

76d • $120,000 - $150,000

About The Position

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

Requirements

• 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
• Strong debugging, testing, and optimization skills.
• Ability to write clean, maintainable, and well-documented code.

Nice To Haves

• Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• Flexible paid time off, including sick and holiday
• Medical, dental, & vision insurance
• Flexible spending accounts
• Life insurance and disability benefits
• Tuition assistance
• Community involvement and volunteering events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees