Key Responsibilities1. App Productionization & Stack StandardizationMap and refactor raw AI-generated code into our standardized enterprise tech stack (e.g., TypeScript, React/Next.js, Python/FastAPI, Node.js), eliminating unsupported or niche libraries introduced by AI tools.Enforce architectural standards by restructuring unstructured code into modular, maintainable microservices or enterprise-approved monoliths.Audit and optimize database schemas and queries, ensuring alignment with standardized data engineering practices (PostgreSQL, approved Vector DBs).2. AI Governance & Enterprise GuardrailsImplement strict production-grade guardrails for AI safety, enforcing data privacy (PII/PHI masking), Role-Based Access Control (RBAC), and prompt injection mitigation.Establish and standardize LLM Evaluation (LLMOps) and observability pipelines (e.g., LangSmith, Phoenix) to continuously monitor model drift, cost-governance ceilings, latency, and hallucination rates.Standardize the integration of LLM workflows, RAG pipelines, and agent frameworks to ensure all business apps use approved, secured API gateways and foundational models.3. CI/CD, DevOps & Automated ComplianceBuild and mandate automated CI/CD pipelines (GitHub Actions, GitLab CI) that include mandatory governance gates: SAST/DAST security scans, dependency vulnerability checks, and automated linting for code standardization.Manage standardized, containerized deployments (Docker, Kubernetes) and infrastructure-as-code (Terraform) to ensure consistent cloud environments.Set up automated unit, integration, and regression testing protocols that vibe-coded applications must pass prior to production release.4. Developer Governance & "Paved Roads"Collaborate with business users and product managers to transition vibe-coded MVPs into production while enforcing strict IT governance and compliance guidelines.Create and distribute standardized "paved road" templates, pre-approved UI components, and architectural blueprints for business teams using vibe-coding tools to ensure cleaner, compliant upstream code generation.Qualifications & RequirementsExperience: 3+ years of professional full-stack development experience, with a proven track record of shipping production AI applications and enforcing engineering standards.Standardized Stack Proficiency:Front-end: Modern JavaScript/TypeScript, React, Next.js, Tailwind CSS.Back-end: Python (FastAPI), REST APIs, async architecture.Data: Relational SQL (PostgreSQL), Elastic Search/OpensearchCI/CD & Infrastructure: Deep practical experience with CI/CD platforms (GitHub Actions), Docker, serverless/cloud platforms(AWS is a must.)CI/CD & Infrastructure: Deep practical experience with CI/CD platforms (GitHub Actions), Docker, serverless/cloud platforms, and IaC (Terraform).AI Governance & Tooling: Hands-on experience with LLM APIs, embedding models, RAG patterns, and a strong understanding of how to audit code generated by developer tools like Cursor, Claude Engineer, or Vercel AI SDK.Problem-Solving Mindset: Exceptional ability to decipher, evaluate, and restructure unstructured code written by AI agents or non-technical builders into compliant enterprise formats.

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AI Engineer (CI/CD & Productionization)