Senior AI Engineer

1 week ago

Lahore, Punjab, Pakistan Stafflink Full time $150,000 - $200,000 per year

Remote | Full-TimeStafflink is seeking aSenior AI Engineerto take full technical ownership of a next-generation Voice-AI platform. This role involves building and scaling real-time AI infrastructure that powers tens of thousands of concurrent calls today and will evolve into a multi-tenant AI operating system with SDK and marketplace tomorrow.If you are a senior Python engineer with strong expertise in cloud, real-time architecture, and AI at scale, we'd love to hear from you.What You'll DoPlatform Architecture – Design a secure, scalable multi-tenant SaaS (tenant isolation, billing, RBAC, SDK/plugin support).Voice-AI Stack – Build & optimise ASR / TTS / NLU pipelines, achieving latency targets < 300ms.Python Engineering – Develop high-performance microservices (FastAPI, AsyncIO, CI/CD, testing).Real-Time Communication – Integrate & fine-tune LiveKit/WebRTC for low-latency, high-scale voice traffic.Workflow Automation – Architect complex n8n flows with retries, fail-over, and custom nodes.RAG & Vector Databases – Implement retrieval-augmented generation with Pinecone, Weaviate, or Chroma.Event-Driven Systems – Work with Kafka/RabbitMQ & gRPC for high-throughput text/audio streams.Observability – Deploy OpenTelemetry, Prometheus/Grafana, chaos & load testing with SLA ≥ 99.95%.Hybrid/Edge Deployments – Deliver DSGVO-compliant on-prem solutions with NVIDIA Triton & vLLM.GPU Optimisation – Tune inference pipelines with TensorRT, ONNX Runtime, quantisation & vLLM.Leadership – Mentor engineers, set technical guidelines, host tech talks, and lead by example.Must-Have Qualifications7+ years professional software development, 5+ years in Python (async, performance, testing).3+ years running production ML/AI systems (preferably voice/conversational AI).Proven Azure expertise (Speech Services, AKS/Kubernetes, Functions, IaC).Hands-on LiveKit/WebRTC experience in real-time products.Advanced n8n workflow expertise (custom nodes, error handling).Strong knowledge of multi-tenant SaaS & SDK/plugin architecture.Experience with vector databases & RAG pipelines.Proficiency in Kafka/RabbitMQ, gRPC microservices, MLOps, observability.Demonstrated GPU inference optimisation (TensorRT, ONNX, vLLM).Fluent English, with solid understanding of GDPR/VoIP compliance.Nice-to-HavesExperience with LangChain, autonomous agent orchestration.Edge-AI (Jetson/ARM) or hybrid-cloud deployments.Open-source contributions or AI conference speaking.Telecom/SIP integration background.Why Join Us?Work on cutting-edge Voice AI systems at scale.Contribute to a multi-tenant AI operating system shaping the future of communication.Fully remote role with global collaboration.Opportunity to lead and mentor within a highly technical engineering team. Interested? Apply today and help us build the next-gen Voice-AI platform.

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