Pre-screened and vetted.
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Principal Data Scientist specializing in Generative AI and MLOps
Mid-level AI/ML Engineer specializing in LLM evaluation, RAG, and GPU-accelerated inference
Senior Software Engineer specializing in Python and AWS cloud-native backend systems
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Junior Software Engineer specializing in cloud platforms, microservices, and AI/ML
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise AI
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
Senior Full-Stack Engineer specializing in AI automation and LLM-powered products
Mid-Level Software Engineer specializing in cloud-native backend and distributed systems
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
Executive engineering leader specializing in SaaS platform transformation and AI
Executive Technology Leader (CTO/CIO/CISO) specializing in cloud, security, and data platforms
“CTO-level technology leader with experience building end-to-end tech strategy and roadmaps, modernizing legacy environments in healthcare (GenesisCare), and scaling engineering into large global teams (Amadeus). Built a DevOps organization at Syniverse for the Visibility Suite, implementing Kubernetes/Terraform/Chef automation that drove ~75% faster deployments, and is known for staying hands-on (including data center work) while leading strategically.”
Senior Infrastructure Platform Architect specializing in Kubernetes and hybrid cloud
“Platform/infra engineer with strong ownership of Kubernetes on VMware and day-to-day hybrid on-prem-to-AWS operations. Has hands-on experience automating infrastructure delivery with Terraform/Ansible/CI-CD, and has resolved real production issues spanning CSI storage reattachment during upgrades, vSphere storage-latency performance degradation, and hybrid connectivity/routing failures with improved validation, monitoring, and failover.”
Junior AI/ML Engineer specializing in LLM systems and mechanistic interpretability
“Second most active contributor at Daice Labs, owning a production AI-powered software development collaboration platform’s end-to-end execution infrastructure (TypeScript/Next.js backend, Node.js CLI, shared libs). Built the full multi-agent pipeline (planning/codegen/summary), Supabase-backed context assembly and realtime state, Git/GitHub automation, and a provider-agnostic LLM abstraction with strict Zod validation and retries, backed by extensive tests and design specs.”
Senior AI/ML Engineer specializing in GenAI, MLOps, and computer vision
“ML/AI engineer with hands-on ownership of production document intelligence and GenAI systems, spanning model experimentation, AWS deployment, monitoring, and iterative optimization. Stands out for turning document-heavy workflows into reliable, near real-time products with measurable gains in accuracy, latency, and manual-effort reduction, while also shipping citation-grounded RAG features that drove user trust and adoption.”