AI/Machine Learning Engineer - Python - Loops

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. 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 reliability practices. Team Contribution: You’ll collaborate effectively with other engineers and product teams, influencing technical direction. What We’re Offering Salary Range:  $130,000 to $150,000 plus bonus potential 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 …