Senior AI Engineer Services

Role Summary

We are seeking a Senior Al Engineer-a senior Al professional with people leadership experience to build and operate in-house Al microservices that power core business workflows (e.g., OCR/intelligent document processing, NLP, computer vision, LLM services). You will lead a small, high-impact team to deliver scalable, stable, and cost-efficient services from prototype to production, with clear SLAs and observability.

What You'll Do (Key Responsibilities)

Own the services roadmap for OCR/IDP, NLP/CV, embeddings, and LLM microservices; translate business problems into well-designed APIs.

Lead and grow a delivery squad (3-8 engineers/DS/ML) with agile rituals, clear goals, and hands-on guidance.

Design & implement microservices (Python/FastAPI preferred) with 12-factor practices, strong interfaces, and backward-compatible versioning.

Productionize models (selection, fine-tuning, evaluation) using ONNX Runtime/TensorRT, Triton Inference Server, vLLM/Helm/Serving stacks as appropriate.

Establish MLOps & LLMOps: data/versioning (DVC/LakeFS), CI/CD (GitHub Actions/Azure DevOps), feature store, model registry, canary/blue-green, A/B and shadow testing.

Implement observability and SRE: SLOS/SLAs, tracing/metrics/logs (OpenTelemetry, Prometheus, Grafana), error budgets, and automated rollback.

Optimize performance & cost throughput/latency benchmarking, autoscaling, GPU/CPU right-sizing, caching, batching, prompt/tooling cost controls.