Software Engineering MTS

Quick Facts

• Job Category: Software Engineering

Description

Build and ship secure, production-grade software with AI as a core part of your development workflow. Design and orchestrate systems where AI agents integrate into human workflows, and architect resilient backend services that integrate Large Language Models (LLMs) via external APIs. Ensure high quality through critical code evaluation, observability (logs/metrics/traces), and test automation for long-running AI jobs.

Responsibilities

• Build and ship secure, optimized production-grade software with AI integrated into development

• Design and orchestrate complex systems where AI agents fit into human workflows

• Architect and maintain resilient backend services integrating LLMs via external APIs

• Implement observability (logs, metrics, traces) for long-running AI jobs

• Critically evaluate code for correctness, quality, security, and performance

• Develop test automation and quality tooling (unit/CI test generation, failure analysis, flake awareness)

Requirements

• 3+ years of professional Java development experience

• Demonstrated AI-first approach to engineering

• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in active development workflows

• Ability to design, iterate, and test system and user prompts that produce structured, parseable LLM outputs (e.g., JSON classification, multi-field extraction)

• Experience designing and consuming RESTful APIs and working knowledge of AWS (S3, STS, KMS, Lambda, DynamoDB)

• Experience with Bazel or Maven and willingness to work in a monorepo

• Experience with Jenkins or equivalent CI/CD pipelines

• Experience creating Docker images and operating containers

Benefits

• Time off programs

• Medical, dental, vision, and mental health support

• Paid parental leave

• Life and disability insurance

• 401(k)

• Employee stock purchasing program