Software Engineer AI

Job Overview

Backend Software Engineer (IC3) at Spendesk. Architect and build the backend foundations for AI‑native product experiences, supporting conversational and agentic features such as context handling, tool calling, and reliable interactions with large language models (LLMs).

Key Responsibilities

• Design, build, and operate backend services and APIs for conversational and agentic AI features.
• Implement the services needed for context management, tool invocation, rich content access, and multi‑step orchestration.
• Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost‑aware usage.
• Ensure services meet production standards for reliability, maintainability, security, and observability.
• Collaborate with the IC5 Staff Engineer to define architecture, reusable service boundaries, contracts, and interfaces for cross‑squad use.
• Own complex backend components end‑to‑end: design, implementation, deployment, and maintenance.
• Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.
• Instrument services with logs, tracing, and metrics, and define quality standards around latency, failure handling, cost efficiency, and resilience.
• Collaborate with Product Managers, Designers, and applicative squads to translate AI product concepts into concrete backend capabilities.

Technical & Data Skills

• Strong backend engineering experience with TypeScript/Node.js or adjacent technologies.
• Fluency in service design, asynchronous architectures, and resilient distributed systems.
• Experience integrating APIs and external services into robust product backends.
• Practical knowledge of LLM integration in production (e.g., AWS Bedrock, OpenAI, Anthropic).
• Familiarity with Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices.

Leadership & Collaboration

• Highly autonomous and comfortable owning ambiguous technical problems from framing to delivery.
• Effective partnership with a Staff Engineer while independently delivering complex components.
• Product‑mindful, customer‑focused, translating business needs into backend systems.
• Curious about AI‑native product design and motivated by building durable foundations rather than short‑term demos.
• Fluent in written and spoken English.

Nice to Have

• Experience with conversational or agentic systems.
• Experience integrating LLMs with tool‑calling, guardrails, and evaluation loops.
• Experience with rich content processing, document workflows, or multimodal service design.
• Experience in SaaS, fintech, or regulated environments.

What Success Looks Like in Your First 90 Days

• Shipped or materially advanced a production‑grade backend component that supports AI experiences at Spendesk.
• Partnered effectively with the IC5 Staff Engineer to turn architectural direction into reliable, reusable backend services.
• Integrated at least one LLM‑backed capability through AWS Bedrock with appropriate observability, retries, and operational safeguards.
• Improved one shared engineering capability (e.g., orchestration patterns, service contracts, or cost/reliability monitoring) reusable by future AI features.