GoodLeap - Staff AI Engineer, Payments
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Requirements
• 6+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLMs • Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem • Hands-on experience designing and implementing agentic workflows using LLMs, including orchestration across APIs, tools, and data sources • Experience working with vector databases, embeddings, and semantic search • Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools • Strong experience in one or more of the following languages: Node.js, Python, C#, TypeScript • Strong experience designing and building APIs, including REST, GraphQL, gRPC, and event-driven architectures (e.g., Webhooks, Pub/Sub, Kafka) • Strong experience with cloud architecture on at least one major provider (AWS, GCP, or Azure) • Experience with frameworks for Agent orchestration (e.g., LangChain, Semantic Kernel, Haystack, or custom-built frameworks) • Familiarity with Retrieval-Augmented Generation (RAG) patterns in production systems • Knowledge of payments infrastructure, PCI compliance, and financial-grade security practices is a plus • Track record of technical leadership, including mentoring and influencing engineering culture • Strong collaboration skills with a willingness to mentor junior developers and contribute to code reviews • Problem-solving ability: capable of breaking down complex problems and taking ownership of tasks from start to finish • Customer-centric mindset: ability to align development decisions with delivering an excellent user experience • Opportunities for Growth • At GoodLeap, there are always opportunities for team members to grow and advance within the company. • As you outgrow your current role, we will support your development into new opportunities. • $17,300 - $20,000 a year • In addition to the above salary, this role may be eligible for cash bonus and equity compensation • Additional Information Regarding Job Duties and Job Descriptions:
Responsibilities
• Design and lead backend architecture that supports AI/ML-powered features across Web, Mobile, SMS/Voice, and API surfaces • Own end-to-end technical strategy for embedding LLMs, embedding stores, MCP Servers, and personalized content delivery • Architect and implement agentic workflows, enabling LLM-powered Agents to orchestrate tools, APIs, and data sources to deliver intelligent, adaptive payment experiences • Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact • Build tools and services (including MCP Server integrations) to help other team members experiment and ship AI-enhanced features responsibly and efficiently • Influence engineering standards and promote excellence in observability, performance, and security • Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality • Collaborate with cross-functional partners across QA, Mobile, Data, Product, and Marketing • If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! • We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.
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