Senior Python Engineer, AI

About Our Client

The organization operates a B2B marketplace designed for professional automotive and truck parts businesses. This platform helps customers efficiently source and purchase parts essential for maintaining their operations and serving their own clients promptly. The company supports millions of buyers and sellers across more than 190 markets globally, focusing on reinventing ecommerce and building communities to create economic opportunities.

About the Opportunity

The Senior Python Engineer, AI will design, develop, and maintain scalable backend services and platform capabilities critical to business workflows and product innovation. This role drives the performance, resilience, and reliability of the marketplace technology by collaborating with cross-functional teams to deliver practical solutions that support core operations. The position also focuses on integrating AI and large language model (LLM) technologies to enhance platform features and efficiency.

Responsibilities

* Technical Design and Collaboration: Define clear technical requirements with product, business, and engineering partners. Lead backend system design focused on long-term reliability, scalability, maintainability, and operational excellence.

* Backend Service Development: Develop and maintain Python-based applications and core services. Build and integrate scalable APIs and microservices for both internal systems and external customer integrations.

* Performance Optimization: Optimize high-traffic system performance using distributed technologies, caching mechanisms, and message queues.

* Resilience and Observability: Implement observability tools, troubleshoot live production issues, and enhance general system resiliency. Maintain clear system and technical documentation.

* Code Quality Standards: Participate actively in peer code reviews and contribute to corporate engineering standards. Collaborate across development, QA, and business teams to ensure high-quality releases.

* Productive Tooling: Leverage AI-powered development tools to improve daily engineering productivity, code quality, and delivery speed.

Applied AI and LLM Focus

* AI Feature Implementation: Build and deploy production-ready LLM-enabled features, including workflow automation, intelligent routing, and multi-step task orchestration with tool or function calling.

* Data Retrieval Engineering: Implement retrieval-augmented generation (RAG) patterns to enhance AI output reliability and accuracy.

* Evaluation and Safety: Develop evaluation frameworks for AI outputs, incorporating regression testing and safety constraints.

* Responsible AI Frameworks: Collaborate on responsible AI practices, ensuring data handling policies are correct and auditability guidelines are met.

Requirements

* Python Expertise: 5+ years of professional Python development experience in live production environments.

* Microservices and APIs: Hands-on experience developing asynchronous, API-driven microservices using modern libraries like FastAPI and asyncio. Strong understanding of REST APIs, authentication protocols, authorization schemas, and secure design patterns.

* Distributed Systems: Familiarity with distributed systems patterns, including message queues, caching layers, and pub/sub architectures.

* Engineering Infrastructure: Experience establishing CI/CD pipelines and managing containerized application deployments. Proficient with Git and modern version control branching workflows.

* Professional Traits: Excellent written and verbal English communication skills. Ability to work effectively in cross-functional, fast-paced teams.

* Education: BA/BS in Computer Science or a related technical field, or equivalent practical experience.

Preferred Qualifications

* AI Integration: Direct experience integrating LLM APIs and building AI-enabled software services. Familiarity with prompt design, structured outputs, and workflow state management.

* Vector and Information Retrieval: Foundational knowledge of embeddings, vector databases, retrieval pipelines, and semantic ranking methods.

* Machine Learning Foundations: Understanding of core machine learning concepts, including classification, data extraction, and personalization.

* Advanced Systems: Experience building custom AI evaluation tools and testing frameworks. Experience dealing with real-time or conversational interfaces, streaming systems, and supporting high-traffic, consumer-facing applications.

* Language Capabilities: Proficiency in Spanish or other major marketplace languages to support multilingual AI output validation.

Compensation & Benefits

Compensation

* Base Pay Range: $118,800 - $205,600 annually.

* Note: Actual base pay placement within the band varies based on geographic location, specific skill proficiency, and matching work experience.

* Total Rewards: Total compensation packages may include an annual target bonus, restricted stock units (RSUs), and comprehensive medical benefits.

Benefits & Perks

* Competitive total compensation package.

* Comprehensive health, wellness, and medical coverage plans.

* Opportunity to pioneer AI and LLM feature integrations across a massive, global marketplace platform.

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

About RemoteHunter

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.