AI Infrastructure|Platform & Data Engineer

AI Infrastructure|Platform & Data Engineer W2 Contract Pay Rate: $60 - $70 per hour Location: Austin, TX - Remote Role Requirements and Qualifications: • Python backend - Comfortable reading and contributing to an async Python/FastAPI codebase; able to build or extend backend features as needed • Kubernetes + Helm - EKS deployments, Helm chart authoring and maintenance, HPA, network policies, ingress config • Experience with RAG (Retrieval Augmented Generation) • CI/CD pipelines - End-to-end build → test → deploy pipelines; familiarity with Vessel (or similar internal image build tools) • Infrastructure as Code - Helm, Terraform, or equivalent • Observability - Metrics (Prometheus/Grafana or equivalents), log aggregation, pipeline failure alerting • Evaluation & testing infrastructure - Automated RAG evaluation: retrieval quality metrics (MRR, NDCG, recall@k), answer quality benchmarks, regression suites • Security & compliance - Secret management, mTLS cert rotation, access control audits Preferred Qualifications: • Experience with embedding/vector search platforms at scale • Familiarity with workflow orchestration like Airflow, Temporal etc • Load testing and capacity planning for high-volume embedding ingestion • Some experience and understanding of working with AI "Agent" workflows and how they work with Platforms Desired Skills and Experience Python backend development, Async Python, FastAPI, Backend feature development, Kubernetes, Helm, AWS EKS deployments, Helm chart authoring and maintenance, Horizontal Pod Autoscaling (HPA), Kubernetes network policies, Kubernetes ingress configuration, Retrieval Augmented Generation (RAG), CI/CD pipelines, Build/Test/Deploy automation, Container image build tooling, Infrastructure as Code (Helm, Terraform), Observability and monitoring, Prometheus, Grafana, Log aggregation, Pipeline failure alerting, Automated RAG evaluation frameworks, Retrieval quality metrics (MRR, NDCG, Recall@K), Answer quality benchmarking, Regression testing suites, Security and compliance engineering, Secret management, mTLS certificate rotation, Access control auditing, Embedding and vector search platforms, Workflow orchestration (Airflow, Temporal), Load testing, Capacity planning, High-volume embedding ingestion systems, AI agent workflow platforms Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as Inc.'s candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com.