
Real job — pulled straight from GoodLeap’s careers page · Verified May 27, 2026 · No reposts.
Job description
GoodLeap is hiring a Principal AI Engineer — a full-time, based in Roseville, CA role. Apply directly on GoodLeap's careers page below.
Principal AI Engineer, Payments
Team: Engineering
Location: Roseville, CA - HQ, Austin, TX, Bentonville, AR, Dallas, TX, Irvine, CA, Lehi, UT, Plano, TX, San Francisco, CA, West Palm Beach, FL
Commitment: Full Time
Workplace Type: hybrid
Salary:
Key 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
Required Qualifications
- 8+ 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)
Preferred Qualifications
- 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
Preferred Skills
- Experience with AWS Bedrock
Soft Skills & Cultural Fit
- 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
Get Machine Learning Engineer jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs




Frequently asked questions
What skills are required for Principal AI Engineer at GoodLeap?
The required skills for Principal AI Engineer at GoodLeap include: Python, Node.js, C#, TypeScript, API, GraphQL, gRPC, Kafka, AWS, GCP, Azure, LangChain.
What is the seniority level for Principal AI Engineer at GoodLeap?
Principal AI Engineer at GoodLeap is a Staff / Principal level position.
How do I apply for Principal AI Engineer at GoodLeap?
You can view the full description and apply for Principal AI Engineer at GoodLeap on EchoJobs: https://echojobs.io/job/goodleap-principal-ai-engineer-payments-fwlq0.