Backend Engineer _ AI Gateway

Woongjin, Inc
Englewood Cliffs, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 130K

Job location

Englewood Cliffs, United States of America

Tech stack

API
Artificial Intelligence
Audit Trail
Azure
Cloud Computing
System Configuration
Continuous Integration
Multiplexing
Dependency Injection
Github
Identity and Access Management
Python
Key Management
PostgreSQL
Network Programming
Nginx
OpenID
Query Optimization
RabbitMQ
Redis
Azure
Prometheus
Security Assertion Markup Language (SAML)
Data Streaming
WebSocket
Openapi
Datadog
Data Logging
Load Balancing
Okta
Istio
Large Language Models
Grafana
Prompt Engineering
Backend
FastAPI
Event Driven Architecture
Containerization
Gitlab-ci
Hashicorp
Kafka
Terraform

Job description

We are building an AI Gateway - a high-performance, secure intermediary layer that routes, inspects, and governs all traffic between enterprise clients and LLM/AI service providers. This role requires deep expertise in network programming, async Python, and cloud infrastructure to design and operate a latency-sensitive, policy-driven gateway that handles massive concurrent streaming connections at scale.

Requirements

  • Async Python & Network Programming (3 + yrs) - Strong hands-on experience with asyncio, aiohttp/anyio, low-level TCP/UDP sockets, WebSocket & SSE servers, TLS handshake, connection-pooling, keep-alive, and zero-copy buffering.
  • Streaming & Large-Payload Handling - Ability to manage chunked transfer, bidirectional streaming, back-pressure and high-throughput data paths for real-time LLM inference.
  • Protocol Knowledge - Working familiarity with HTTP/2 & HTTP/3 (multiplexing, HPACK), gRPC, and occasional custom protocol parsers.
  • FastAPI-Based Backend (3 + yrs) - Design, develop and test production-grade REST/Streaming APIs; pragmatic use of Pydantic, dependency injection and OpenAPI docs.
  • Containerization & Kubernetes - Docker, AKS/EKS/GKE deployment experience; HPA/VPA scaling, rolling updates, and service-mesh (e.g., Istio/Envoy) basics.
  • Async Messaging & Event-Driven Design - Production use of Redis Streams, RabbitMQ or Kafka for decoupled task queues, retries and back-off logic.
  • PostgreSQL & Vault - Advanced query tuning, partitioning, PgBouncer pooling, plus HashiCorp Vault (dynamic secrets, transit encryption) for key management.
  • Cloud Networking & Security - L4/L7 load balancing, TLS termination, reverse-proxy (NGINX/Envoy), mTLS between services, and automated cert lifecycle (ACME/Let's Encrypt).
  • IaC & CI/CD - Terraform modules for multi-env infra, plus GitHub Actions/GitLab CI pipelines with container image scanning and canary/blue-green deployments.
  • Availability to work on-site in New Jersey for the initial assignment and relocate to Dallas by October 2026, * Enterprise Security Gateways - Integration with CASB/DLP/WSS or similar edge-security platforms; centralized logging & audit trails.
  • IAM & SSO - Configuring Azure AD/Entra ID, Okta, SAML 2.0 or OIDC SSO flows; managing Conditional Access & SCIM provisioning.
  • AI/LLM Pipelines - Building prompt-engineering workflows, PII anonymisation, and monitoring Azure OpenAI (or comparable) usage, rate limits & cost.
  • API-Gateway Operations - Custom webhook/REST integrations, circuit-breaker patterns, rate-limiting, auto-retry and health-checking.
  • Observability & FinOps - End-to-end monitoring with Datadog, Prometheus/Grafana or Azure Monitor; proactive cost-optimisation and 24/7 incident response (SLA/SLO).

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Paid sick time, * Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • 401(k)
  • Paid Sick hours

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