Job Opportunities API

ABOUT LABRYNTH Labrynth accelerates progress by streamlining regulatory complexity. We build AI-powered platforms that navigate complex regulations, generate audit-level documentation, and provide certainty, not shortcuts. Our technology serves clients across heavily regulated industries, including energy, compliance, and government. We operate as a forward-deployed engineering organization: small, high-velocity teams embedded directly with clients to rapidly discover needs and ship production-quality solutions. ABOUT THE ROLE Patent Intelligence is an active Labrynth engagement delivering an AI-assisted patent intelligence platform. The current product ingests and analyzes public patent data, identifies white-space opportunities, generates and evaluates ideas, and supports patent drafting workflows. The next product is an invite-only B2C platform for personal and team accounts, built as a greenfield product alongside the current application, with a modular TypeScript BFF as the sole customer authorization and domain-mutation boundary and private Python workers handling patent retrieval, embedding, and model workloads. This engagement owns the application backend for the first secure B2C foundation: the greenfield B2C API and authorization boundary, private data model, durable asynchronous operations, and Python worker integration. It is an agency / Statement-of-Work contract with a fixed 60-90 day initial term and option to extend, reporting to the Patent Project engineering lead and coordinating closely with Frontend, DevOps / Platform, and Security. The role does not own the entire B2C roadmap within one term, the AWS/Terraform enforcement substrate (DevOps / Platform), or security review (Security); application authorization policy remains Backend-owned. Meaningful overlap with US and Australian project hours is required for weekly planning, architecture reviews, and scheduled failure drills. Stack: Node.js 22, TypeScript, Fastify, JSON Schema/OpenAPI 3.1, PostgreSQL 18 with forced RLS and pgvector, Amazon Cognito, SQS, S3, Python 3.14 with uv and pydantic-ai, OpenTelemetry. WHAT YOU'LL DO - Build the versioned REST/OpenAPI contract and modular TypeScript BFF, with stable success/error envelopes, generated TypeScript clients, and contract-drift CI gates. - Integrate Cognito identity with opaque application sessions, and implement admission, invitations, personal/team accounts, memberships, capabilities, explicit account switching, and guarded account conversions that preserve asset identity and history. - Implement the minimal separate operator admission service and audited break-glass workflows, keeping customer and operator identities, sessions, routes, roles, and audit paths independent. - Design PostgreSQL domain models, migrations, forced-RLS authorization, transaction-bound authorization contexts, and immutable account_id constraints, proving cross-account denial through BFF tests and direct runtime-role SQL tests. - Deliver the durable asynchronous operation path: idempotent acceptance, typed payment-disabled beta entitlements, transactional outbox, account-fair SQS dispatch, worker lease/heartbeat/fencing, result commit, retry, cancellation, and DLQ/redrive. - Implement durable progress delivery: append-only operation events, resumable SSE, and cursor polling with no lost or duplicated logical events. - Maintain usage, provider, and observability foundations: exactly-once logical usage ledgers, safe (customer-content-free) logs, metrics, and traces, and the worker and operation signals Platform dashboards need. - Support current-and-prior compatibility semantics across database, OpenAPI, events, queues, and worker callbacks, including expand/deploy/backfill/verify/contract changes and rollback. - Build private Python worker workflows and typed pydantic-ai agent boundaries, and hand over API documentation, ADRs, threat models, tests, fixtures, runbooks, and a dependency-aware plan for the