AI/Machine Learning Engineer - Python | TheLoops
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: 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.
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
- 401K with Company contribution
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
