Let's begin! Applied AI Sr Associate Engineer (13980)

Skills and Competencies

• 3–5 years of hands-on full-stack engineering experience with a track record of independently delivering production-quality applications end to end; proficiency in React 18 with TypeScript (component architecture, hooks, state management with Zustand or Redux, and React Router for complex multi-view portals), Node.js/Express for BFF APIs (including authentication flows, request proxying, caching, and structured error handling), and Python/FastAPI for backend microservices and data processing pipelines.
• Solid understanding of SQL, PostgreSQL (schema design, query optimization, indexing strategies, and workflow state persistence) and Redis (caching, session management, and task queue brokering via Celery or equivalent); proficiency with Docker for containerizing Node.js and Python services with identical dev/prod environments; ability to build and maintain GitHub Actions CI/CD pipelines covering lint, unit test, build, and zero-downtime deploy on merge.
• Experience integrating with Salesforce REST APIs and SOQL — reading Cases, Accounts, Contacts, Tasks, and Activity History at volume — is preferred; familiarity with Salesforce Connected App setup, OAuth 2.0 flows, and per-user token management; experience triggering write-backs via Flows or Apex REST endpoints with validation gates and audit logging; exposure to Salesforce Platform Events or Pub/Sub API for real-time case state change handling is a strong plus.
• Hands-on experience integrating LLM models into production applications — prompt engineering, context management, structured output parsing, and cost control; familiarity with LangChain (Python) or equivalent orchestration frameworks for chaining LLM calls, managing memory, and enforcing guardrails; understanding of embedding-based semantic search (text-embedding-ada-002 or similar) for similarity scoring and duplicate detection; commitment to human-in-the-loop design — AI assists and drafts; humans review and commit — enforced at the API layer, not just the UI.
• Proficiency with Pandas and openpyxl for Excel-in/Excel-out data processing pipelines; experience with fuzzy matching libraries (RapidFuzz or similar) for entity deduplication and overlap analysis; exposure to graph traversal (NetworkX or equivalent) for ownership hierarchy and relation analysis; ability to integrate with external data APIs.
• Strong grasp of REST API design principles including versioning, error contracts, pagination, and backward compatibility; ability to write well-structured, tested code — unit tests, integration tests, and API contract tests as part of the development workflow, not an afterthought; experience maintaining an append-only audit log tied to business entity IDs for compliance and traceability; comfortable self-managing across frontend, backend, AI, and infrastructure layers in a high-autonomy environment within a 2-week sprint cadence.