Pre-screened and vetted.
Mid-level AI Engineer specializing in LLM safety, red teaming, and evaluation
Mid-Level Full-Stack Software Engineer specializing in GenAI and cloud-native systems
Mid-Level Software Developer specializing in AI/ML and cloud-native microservices
Junior Full-Stack Software Engineer specializing in Java/Python, React, and AWS
Mid-level Full-Stack Software Engineer specializing in logistics microservices
Mid-level Python Developer specializing in web APIs and cloud deployments
Mid-Level Software Engineer specializing in ML and Generative AI applications
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level QA Test Engineer specializing in automation, API validation, and CI/CD
Senior Full-Stack AI Engineer specializing in LLM and ML-powered SaaS
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Python Full-Stack Engineer specializing in cloud-native scalable systems
Senior Full-Stack Engineer specializing in Python back-end systems and scalable web apps
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI
“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”
Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment
“Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.”
Mid-level Software Engineer specializing in Generative AI and scalable backend systems
“Backend/AI engineer with production experience in legal tech: built a high-scale licensing/subscription API (FastAPI/Postgres/Stripe) and shipped a RAG-based chatbot for an eDiscovery platform. Designed a robust legal document ingestion workflow that processes thousands of documents into a searchable vector index with clear retry/escalation logic, and has demonstrated measurable Postgres performance wins (200ms to 10ms) using EXPLAIN ANALYZE and composite indexing.”
Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps
“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”
Junior Software Engineer specializing in automation and full-stack development
“Backend-focused engineer who built a time-sensitive data retrieval system for a source with no public API, using an AWS EC2-hosted persistent browser session plus a PostgreSQL TTL caching layer—cutting manual retrieval by 99% and achieving sub-10-second average retrieval. Emphasizes production security (Secrets Manager, encryption, IP allowlisting, rate limiting) and robustness via testing and edge-case handling (atomic file operations).”
Entry-Level Software Engineer specializing in AI, systems programming, and full-stack development
“Systems-focused C++ engineer who built a 32-bit CPU simulator end-to-end (custom ISA, full memory model, fetch-decode-execute loop) and solved tricky recursion/stack-frame correctness issues through heavy instrumentation and tracing. Has strong Linux and user-kernel boundary experience (procfs) plus modern build/test tooling (Docker, CI/CD, pytest), and is confident ramping quickly into ROS/ROS2 despite not having used it directly.”