Backend Engineer, AI Gateway
Summary
Build and operate a high-performance AI Gateway that routes, inspects, and governs traffic between enterprise clients and LLM/AI providers using async Python, FastAPI, and cloud networking.
Backend Engineer -AI Gateway
Location: NJ at first and then Plano TX, NJ
▶ Job Details• Job Title: Backend Engineer - AI Gateway
• Client: Korean IT Services and IT Consulting
• Working Location: NJ then Plano TX
• Working Style: Onsite
• Employment Type: 1 year Contract / W-2
• Salary: $100,000 - 130,000/year (DOE)
• Benefit: Insurance and 401K March
• Visa Support: No
• Working Hours: 9AM to 6PM
• Language: English
▶ Position Summary
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.
▶ The Right Candidate Will Possess
A proactive, detail-oriented professional with strong communication, ownership, and problem-solving skills who can collaborate effectively across business and technical teams.
▶ Required Qualifications & Skills
• 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.
Preferred 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 anonymization, 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‑optimization and 24/7 incident response (SLA/SLO).
▶ Important Notice
Beware of scams: Cinter Technology will never contact candidates from an email address ending in @cintertechnology.work. Any such email is fraudulent.
No C2C: We do not accept Corp-to-Corp (C2C) arrangements for this position.