Role Summary

We are looking for a mid-level Full Stack Developer (47 years) to build and integrate production-grade software for an AI/ML-enabled platform that powers guided, real-time user workflows. This role requires strong backend engineering in Python and Node.js, solid frontend development (React/Next.js), and deep comfort with system integration across APIs, services, and runtime environments. You will work closely with AI/ML, product, and engineering teams to deliver reliable, low-latency features with strong observability and operational rigor.

Key Responsibilities

Full-Stack Development

Build and maintain backend services using Python (FastAPI/Flask/Django) and Node.js (Express/NestJS)
Work on relational databases (mySQL) and document stores (MongoDB)
Develop responsive, high-performance web UIs using React/Next.js and modern TypeScript/JS practices.
Own features end-to-end: design implementation testing deployment monitoring.

AI/ML Systems Integration

Integrate AI/ML capabilities into application workflows via REST/gRPC, including streaming responses, timeouts, retries, and fallbacks.
Implement AI application plumbing: structured inputs/outputs, tool/function calling patterns, prompt/versioning strategies (where applicable), and safe failure modes.
Build orchestration components such as inference gateways, background workers, and workflow services.

Workflow Orchestration & State Management

Implement session-based, step-by-step workflows using robust state management (state machines preferred), idempotent APIs, and durable session storage.
Handle asynchronous processing using queues/workers for long-running or non-blocking tasks.

Integration with External Systems / Control Interfaces

Build integrations with external services, SDKs, or system interfaces (e.g., device APIs, local services, third-party platforms) with strong error handling and recovery.
Define clean service contracts and ensure safe, deterministic behavior across system boundaries
Think out of the box to to solve seemingly unsolvable problems

Reliability, Observability & Security

Implement strong observability: structured logs, metrics, tracing, and audit-friendly event streams for critical workflows.
Write automated tests (unit/integration/contract) and contribute to CI/CD pipelines.
Implement secure authentication/authorization (JWT/OAuth), privacy-aware data handling, and secure secret management.

Must-Have Requirements

47 years of professional experience in full-stack development (backend-heavy full stack preferred).
Strong proficiency in Python and Node.js with production experience in at least one major framework each.
Solid frontend experience with React (Next.js preferred) and TypeScript/modern JS.
Proven experience in system integration: APIs, service boundaries, third-party integrations, async workflows.
Experience building low-latency, interactive product flows (streaming/websockets/session workflows/stateful orchestration).
Strong engineering fundamentals: data structures, concurrency concepts, debugging, performance tuning.
Experience with relational and document databases (MySQL/MongoDB) and caching (Redis).

Good to Have (Preferred)

Experience integrating LLMs and/or model services (streaming, tool/function calling, guardrails, evaluation loops).
Experience with queues and workers: Kafka / RabbitMQ.
Familiarity with observability tooling: OpenTelemetry, Prometheus/Grafana, ELK
Experience with Docker and cloud deployments (AWS/GCP/Azure).
Exposure to integrating with hardware/software interfaces (SDKs, TCP/serial-style APIs, local network services).

What Success Looks Like

You independently ship features spanning UI + backend + integrations with production reliability.
You build robust workflow orchestration with clear session traceability and strong operational visibility.
You integrate AI/ML services into real-time product experiences with safe fallbacks and measurable performance.

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