Senior Full-Stack Engineer / Development Team — Enterprise AI Operations Console

Essera Technologies is developing an enterprise AI platform and is seeking an experienced senior full-stack engineer or small development team to build our internal Operations Console. This is not a simple dashboard or frontend-only project. The Operations Console is a full-stack administrative and operational application with its own application backend, data model, authentication/RBAC, audit trail, workflows, reporting/export capabilities, and integrations with Essera’s existing AI Gateway/backend and AWS infrastructure. Project Scope The engagement includes the complete frontend and application-backend implementation of 13 MVP modules: 1. Operations Dashboard — Gateway health, provider/model availability, request volume, latency, usage, spend, estimated revenue/margin, alerts, incidents, compliance items and data-quality/reconciliation status. 2. AI Provider & Model Administration — Provider/model inventory and status, model permissions, approved endpoint/region configuration, timeout/retry/rate-limit settings where applicable, credential administration, connection testing and configuration history. 3. Pricing & Rate Administration — Provider cost rates, customer/partner selling rates, effective-dated pricing, currencies/units, validation, approval, versioning and rollback. 4. Usage, Rating & Billing Data — Request-level usage data, provider cost and billable amounts, detailed filtering and summaries, billing-period workflow, exceptions/adjustments, reconciliation and billing-ready CSV/XLSX exports. 5. Organization, Account & Service Administration — Partner/customer/end-user hierarchy, account status, service/model entitlements, credentials, quotas, spend limits, commercial settings and account history. 6. Compliance & Onboarding Management — Onboarding cases, jurisdiction/use-case information, sanctions/export-control screening records, evidence/document checklists, risk classification, approvals/restrictions and periodic reviews. 7. Platform Monitoring — Gateway, service, provider, database, queue, backup and infrastructure health; throughput/errors; latency; connectivity; and integration with detailed observability resources. 8. Alerts & Incident Management — Alert/incident acknowledgment, assignment, classification, investigation, resolution, evidence, associated resources and action history. 9. Security Administration — Internal administrator management, predefined roles, RBAC, MFA, sessions, account security and privileged activity. 10. Audit & Change Log — Immutable/searchable audit records, before/after values, actor/action/resource information, security/access events and controlled exports. 11. Operational & Business Intelligence — MVP Reduced Scope — Operational and business reporting across customers, partners, providers, models, usage, cost, revenue, gross profit/margin and operating performance. Advanced forecasting, predictive analytics, AI-generated business insights and automated optimization are outside the MVP. 12. Platform Configuration — MVP Lightweight — Global operational settings including timezone, currencies, billing defaults, warning thresholds, notification routing, approved/blocked regions, retention settings, support contacts and Gateway maintenance status. 13. Runbooks & Emergency Resources — MVP Lightweight — Controlled access to approved incident-response, provider-outage, credential-rotation, backup/DR, billing-reconciliation, compliance and emergency resources. Full-Stack Application Requirements The selected engineer/team will also implement the shared application foundation, including database schema and migrations; Console backend/API layer; pagination, filtering and validation; defined error/empty states; administrator authentication; MFA and session management; five predefined roles; backend-enforced RBAC; immutable audit/change logging; Gateway/backend API integrations; authorized configuration submission; integration retry/error handling; CSV/XLSX reporting and exports; application observability; containerized AWS deployment; Secrets Manager and CI/CD integration; frontend application shell/design system/navigation; and module-specific workflows and business logic. The Operations Console is an administrative/control application, not the AI runtime. Real-time AI request routing, provider/model selection, provider execution, runtime retries/fallback, usage capture, metering, rating calculations, reconciliation, quotas/restrictions and real-time policy enforcement remain within Essera’s Gateway/backend. The Console consumes authoritative data and submits authorized administrative configuration. Required Experience Strong experience with React/Next.js or comparable frontend frameworks; Python/FastAPI, Node.js/NestJS or comparable backend frameworks; PostgreSQL; REST APIs; RBAC/MFA/session security; multi-tenant SaaS administration; audit logging; data-intensive administrative applications; reporting/CSV/XLSX exports; AWS/ECS/Fargate; Secrets Manager; CI/CD; and CloudWatch/Grafana/OpenTelemetry or similar observability tools. Experience with enterprise AI platforms, Amazon Bedrock, LLM gateways, usage metering, FinOps/billing systems or compliance platforms is highly desirable. Detailed functional requirements and interface documentation will be provided to the selected engineer/team. Applicants should provide relevant examples of full-stack SaaS or operations-console projects, backend/API architecture experience, authentication/RBAC/audit experience, AWS experience, proposed team composition, expected delivery schedule, and any key assumptions or dependencies. Acceptance is based on working full-stack functionality, not screens alone. Required outputs must reconcile to authoritative backend data; controls must be role-restricted and auditable; required validation, error/empty states and exports must function; and the defined Console/Gateway/backend responsibility boundary must be maintained.