Pre-screened and vetted.
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
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 Data Analyst specializing in econometrics, ESG, and labor market research
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Staff Software Engineer specializing in agentic AI and distributed systems
Senior Full-Stack Engineer specializing in AI-powered SaaS and cloud-native analytics
Senior Full-Stack AI/ML Engineer specializing in cloud data platforms and GenAI
Senior Applied AI Engineer specializing in LLMs, NLP, and production AI systems
Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain
Senior Software Engineer specializing in FinTech payments and scalable platforms
Senior AI/ML Engineer specializing in GenAI, agentic systems, and healthcare AI
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development
“Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.”
Junior AI Engineer specializing in LLM systems, RAG, and full-stack automation
“Built and deployed an AI receptionist product for field-service businesses (HVAC/electrician), including real-time Jobber scheduling integrations and Twilio-based calling. Combines hands-on customer/operator shadowing with strong production engineering (queueing to handle API limits, rigorous testing/mocking, mirrored prod environment) and cross-layer troubleshooting, driving user adoption through review/override workflows.”