Backend Engineer _ AI Gateway

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Backend Engineer _ AI Gateway

Woongjin Energy

110,000–130,000 / Year

Location

Englewood Cliffs, NJ, United States

Experience

Mid

Posted

Jul 30, 2026

Apply by

August 29, 2026

Applicants

0

Early applicantEasy applyContractWork from Office

Job Description

## Company Description For More Open Positions Visit us at: http://recruiting.woongjininc.com/ Our Mission WOONGJIN INC. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits - Medical Insurance - Vision Insurance - Dental Insurance - 401(k) - Paid Sick hours ## 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. What we are looking for - 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 ## Qualifications - 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). ## Additional Information All your information will be kept confidential according to EEO guidelines. \\\\\NO C2C\\\\\\

Key Responsibilities

  • Design and operate a high-performance AI Gateway routing traffic between enterprise clients and LLM providers.
  • Develop production-grade REST and streaming APIs using FastAPI and Pydantic.
  • Manage large-scale concurrent streaming connections with low latency and high throughput.
  • Implement async messaging and event-driven design using Redis Streams, RabbitMQ, or Kafka.
  • Configure cloud infrastructure using Docker, Kubernetes, and Terraform.
  • Manage secrets and key management using HashiCorp Vault.
  • Implement observability and monitoring using Datadog, Prometheus, or Azure Monitor.
  • Integrate with enterprise security gateways and IAM platforms for centralized logging and audit trails.

Skills Required

Async PythonNetwork ProgrammingasyncioaiohttpanyioTCP/UDP socketsWebSocketSSETLSConnection poolingKeep-aliveZero-copy bufferingHTTP/2HTTP/3gRPCFastAPIPydanticDockerKubernetesAKSEKSGKEHPAVPAIstioEnvoyRedis StreamsRabbitMQKafkaPostgreSQLPgBouncerHashiCorp VaultNGINXACMELet's EncryptTerraformGitHub ActionsGitLab CICI/CDAzure MonitorDatadogPrometheusGrafanaProblem solvingAttention to detailCASBDLPWSSAzure ADEntra IDOktaSAML 2.0OIDCSCIMAzure OpenAI

Benefits

  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • 401(k)
  • Paid Sick hours

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