Software Engineer - Internal Operations and Tools

Tereina • San Francisco, CA

4d

About The Position

Tereina is hiring the first engineer for its new Internal Operations and Tools team, which reports directly to the CTO. The team builds AI agents and internal tools within Tereina’s platform to help a small team operate a global payments business at scale. The role focuses on automating payment operations and enabling internal analytics, using Tereina’s Java and Spring Boot microservices, Kubernetes, event-driven messaging, large language models, and agent frameworks.

The engineer will design, build, and ship AI agents and internal tools end to end, working closely with the Payment Operations team. The role includes experimenting with new AI models and frameworks, evaluating what works, and taking successful solutions into production for real financial workflows. As the first engineer on the team, the successful candidate will also help shape its technology, practices, and culture as it grows.

Requirements

• At least 3 years of software engineering experience building and shipping backend or full-stack systems to production.
• Hands-on experience building applications with large language models and enterprise agentic frameworks, including tool use or function calling, agents, retrieval, or prompt engineering.
• Real-world experience with Google ADK is required.
• Proficiency in Java and Spring Boot, Python, or TypeScript.
• Solid understanding of REST APIs, SQL, and relational databases.
• Familiarity with cloud platforms, preferably GCP, containers, Kubernetes, and distributed systems fundamentals.
• Fluent daily use of modern AI coding assistants such as Claude Code, GitHub Copilot, or similar.
• Self-directed ownership from end to end, comfort with ambiguity, and energy for working in an early-stage environment.
• Curiosity, willingness to experiment, and ability to learn quickly.
• Ability to work with non-technical users, understand their problems, and clearly explain what tools can and cannot do.

Nice To Haves

• Experience with agent frameworks and protocols such as Model Context Protocol, Google ADK, or LangGraph.
• Experience building internal tools, admin consoles, or operations workflows.
• Data and analytics experience, such as BigQuery, SQL modeling, or dashboards.
• Experience in payments, banking, treasury, or another regulated financial environment, including payment exceptions, returns, and reconciliation.
• Experience with durable workflow orchestration such as Temporal and message-driven systems such as Google Pub/Sub or Kafka.
• Familiarity with Jira Service Management or similar ticketing and workflow platforms, including automation and integrations.
• Familiarity with SAP ERP payment processes or embedded finance within enterprise ERP systems.
• Familiarity with GCP and infrastructure as code.

Responsibilities

• Design and implement AI agents that use Tereina’s APIs, data, and workflows to investigate and resolve operational issues, including payment exceptions, held and failed payments, reconciliation breaks, and operational tickets, with clear human review and approval points.
• Work directly with operators to understand their workflows, identify valuable automation opportunities, and deliver tools that reduce manual work and time to resolution.
• Build AI-assisted analytics and reporting that enable teams to ask plain-language questions about payments data and receive accurate, explainable answers while protecting customer data and following data-sharing policies.
• Build secure integrations between agents and backend services and data systems, including APIs, MCP servers, event consumers, and ticketing integrations.
• Create evaluations, tests, and monitoring to keep AI tools accurate, safe, and reliable as models, data, and workflows change.
• Apply least-privilege access, audit logging, and data-protection practices appropriate for a regulated payments business.
• Prototype with new models, frameworks, and techniques, and share findings with the wider engineering team.
• Help shape the new team’s technology, practices, and culture.

Benefits

• Opportunity to own the platform and operations function end to end and expand scope across products, rails, partners, and markets as the company scales.
• Opportunity to shape how payments operations scale at a fast-moving B2B payments company.
• Work at the intersection of payments operations and AI-enabled automation.
• Collaborative team culture that values curiosity, inclusion, and sustainable work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed