As a Sr. AI Engineer who can accelerate product delivery using AI code-generation platforms (e.g., Lovable or equivalent) and then convert prototypes into production-grade software. This role requires strong software engineering fundamentals, a security-first mindset, and the ability to integrate hardened solutions into CI/CD deployment pipelines. Lovable is an AI app builder that enables rapid creation of apps/websites via conversational prompts, which typically requires an experienced engineer to productionize outputs.Your Role: Take code generated by Lovable (lovable.dev) or similar tools and harden it for production readiness(reliability, scalability, maintainability, performance). Refactor AI-produced code to align with engineering standards (architecture boundaries, clean code, modularity, maintainability). Identify and remediate common AI-output issues: insecure defaults, missing validations, poor error handling,non-deterministic behavior, hidden coupling, and lack of testability. Use Claude Code and/or equivalent agentic tools (e.g., Cursor, Gemini Code Assist, Antigravity IDE) to accelerate multi-file refactors, test generation, and modernization work. Apply safe, repeatable agent workflows: task decomposition, bounded permissions, reviewable diffs, and automated verification. In our environment, Claude Code is positioned as an AI pair programmer that operates in the command line and is integrated via an enterprise platform workflow (per internal enablement guidance). Implement and maintain robust CI/CD pipelines that enforce quality gates: build, unit/integration tests, linting, static analysis, dependency scanning, container scanning, and policy checks. Add environment-specific configuration management (secrets, key vaults, config maps), progressive delivery(blue/green, canary), rollbacks, and release automation. Ensure deployment artifacts are reproducible and auditable (versioning, SBOM, provenance, approvals). Build comprehensive automated testing: unit, integration, contract, and end-to-end tests; improve coverage and reliability. Add runtime checks: structured logging, metrics, tracing, SLO dashboards, and alerting. Drive code reviews, enforce conventions, and standardize practices (coding standards & guidelines are typical expectations for strong engineering roles). Own delivery for assigned modules/services end-to-end; produce design/technical specifications as needed and deliver within timeline and quality expectations.Collaborate with cross-functional partners (product, design, QA, platform, security) to ship increments and manage risk
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees