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Large reputable employer, mid-level generalist AI role, metro location, broad full-stack plus AI skills.
AI and full-stack skills are transferable, but Salesforce and compliance focus increases domain specificity.
Explicit 3–5 year requirement and many mandatory front-end, back-end, AI, and infra skills.
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Develop and maintain an AI-assisted operations platform integrating React 18 + TypeScript frontend and Python FastAPI backend with asynchronous data processing and task queuing.
Manage Salesforce integrations including OAuth lifecycle, read/write operations with real-time event monitoring, and AI-enabled workflow validations with human-in-the-loop controls.
Lead phased deployments with user acceptance testing, maintain Azure infrastructure, monitor application health, respond to incidents, and produce architecture and operational documentation.
3–5 years of hands-on full-stack engineering experience delivering production-quality applications independently.
Proficiency in React 18 with TypeScript, Node.js/Express, Python/FastAPI, SQL/PostgreSQL, Redis, Docker, and CI/CD with GitHub Actions.
Experience with Salesforce REST APIs, OAuth 2.0 token management, and preferably Salesforce Platform Events or Pub/Sub API.
Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
Experienced full-stack engineer comfortable operating across frontend, backend, AI integrations, and infrastructure in a high-autonomy, fast-paced agile environment.
Strong background in building AI-assisted platforms with expertise in LLM integration, prompt engineering, semantic search, and human-in-the-loop system design.
Skilled in complex Salesforce ecosystem integration and operationalizing AI workflows within enterprise-grade compliance and audit frameworks.