Pre-screened and vetted.
Senior Software Engineer specializing in cloud infrastructure and distributed systems
“Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.”
Senior Machine Learning Engineer specializing in LLMs and recommendation systems
“ML/GenAI engineer who owned major parts of Spotify’s AI DJ from offline experimentation through deployment, monitoring, and iteration. They combine recommender systems, RAG, real-time feedback loops, and LLM safety/orchestration to ship consumer-facing personalization features that drove double-digit engagement and deeper listening sessions.”
Intern Machine Learning Engineer specializing in LLM agents and multimodal reasoning
“LLM/agent engineer who built a production code-generation agent at Corvic AI that lets non-technical users query CSV/tabular data in natural language by generating and executing Python. Focused on making LLM systems reliable and scalable via schema-aware validation, sandboxed execution-feedback retries, prompt caching/embeddings, async execution, and high-throughput data processing with Polars; also partnered with Adobe product/marketing to ship brand-aligned AI content generation for email and push notifications.”
Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms
“IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.”
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Senior Software Engineer specializing in cloud-native microservices and real-time systems
Staff-level Software Engineer specializing in distributed systems and cloud platforms
Senior Full-Stack Software Engineer specializing in cloud automation and applied AI
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Senior AI Full Stack Engineer specializing in generative AI and ML systems
Staff AI Full-Stack Engineer specializing in LLMs, multi-agent systems, and Voice AI
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior Software Engineer specializing in cloud observability and video streaming
Junior Software Development Engineer specializing in AI/ML and distributed systems
Senior Software Engineer specializing in cloud infrastructure, payments, and AI products
Senior Machine Learning Engineer specializing in NLP and Generative AI
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Senior Software Engineer specializing in LLMs, semantic search, and cloud platforms