Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Intern Software Engineer specializing in ML and data pipelines
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior Software Engineer specializing in Python, cloud microservices, and conversational AI
Intern Software Engineer specializing in ML and data pipelines
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
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.”
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”