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.

• 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, $130,000-$130,000 per year