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Vetted Azure Functions Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Intern Machine Learning Engineer specializing in optimization, federated learning, and LLMs
Mid-level Full-Stack Developer specializing in cloud-native microservices
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Software Engineer specializing in cloud microservices, payments, and analytics
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI platforms
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior QA Automation Engineer specializing in web, mobile, and API testing
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Staff Full-Stack Engineer specializing in data engineering and real-time event platforms
Geetika Jain
Mid-Level Software Engineer specializing in Azure AI and full-stack development
“Hands-on AI/LLM engineer who built a RAG-based product feature end-to-end, including prompt engineering, safety guardrails, and an automated adversarial + load-testing harness. Diagnosed real production issues (null responses) via Azure logs/metrics and drove an architectural fix by separating model deployments to address token/quota limits. Also runs internal developer enablement through short theory-to-hands-on AI workshops after completing a Microsoft AI certification.”
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines