Pre-screened and vetted.
Mid-level Software Engineer specializing in full-stack, ML, and cloud
Mid-Level Software Engineer specializing in backend and cloud-native systems
Intern software engineer specializing in AI, product, and full-stack systems
Entry-level Software Engineer specializing in data platforms and backend systems
Junior Software Engineer specializing in AI and machine learning systems
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Mid-level Software Engineer specializing in distributed systems and cloud backend
Mid-Level Software Engineer specializing in algorithmic generation and AI systems
Mid-level Cloud & Front-End Systems Engineer specializing in AWS and distributed web platforms
Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications
Executive Film Producer specializing in feature films and end-to-end production
“Entrepreneurial film producer with 30+ years creating award-winning media who has raised capital for multiple feature-length projects and navigated film-finance realities (escrow funding timelines, investor commitment risk). Applies a business lens to ventures (market sizing, scalability, differentiation) and builds cost-effective GTM using Meta/Facebook ads backed by strong creative storytelling and a broad creative network.”
Mid-Level Full-Stack Engineer specializing in web/mobile apps and AI-powered products
“Backend engineer who built and evolved the real-time networking/messaging backend for a cross-platform professional networking app (Make Connexions), optimizing for low-latency delivery, privacy, and strong consistency. Experienced scaling Python/FastAPI APIs with async + Redis, and leading safe refactors via versioned endpoints, feature flags, and backward-compatible migrations; strong production auth/RLS expertise including refresh-token rotation edge cases.”
Junior Software Developer specializing in AI/LLM agent systems
“Built an LLM-powered agent within the Nora AI analytics platform to automate e-commerce product performance analysis and generate actionable recommendations (pricing/inventory), designed with production-grade reliability patterns and observability. Emphasizes predictable, schema-validated tool/function-calling pipelines with robust fallbacks, idempotency, and guardrails for messy operational data.”
Mid-level Data Engineer specializing in cloud data platforms and AI/ML analytics
“Backend/data engineer in healthcare who built an AWS-based clinical analytics platform from scratch (DynamoDB/S3/Airflow/dbt) with sub-second clinician query goals, 99.9% uptime, and HIPAA-grade controls (KMS encryption, IAM RBAC, audit trails). Also modernized ML delivery by replacing a manual 4-hour deployment with a 30-minute Docker/GitHub Actions CI/CD pipeline using parallel runs, parity testing, and rollback, and caught critical EHR data edge cases (date formats/timezones) that could have impacted patient care.”
Junior AI/ML Engineer specializing in LLM agents and RAG systems
“Backend/data engineer who built a production-ready multi-agent financial intelligence system (Mycroft) that orchestrates specialized AI agents to analyze real-time market data using FastAPI and Pinecone vector search. Brings strong security/reliability instincts (rate limiting, JWT/OAuth2, retries/backoff, health checks) and has caught high-impact data integrity issues in financial migrations (timezone normalization across global legacy systems).”
Senior Business Operations & Supply Chain Manager specializing in IoT SaaS and hardware GTM
“Cross-functional operator at Andium who led founder-level initiatives spanning next-gen product launch + legacy sunset, built decision-driven operating cadences (dashboards, memos, blocker tracking), and drove international expansion after a Series B led by Saudi Aramco. Also supported a $6M strategic opportunity in Australia by coordinating pricing, product feedback loops, and internal alignment across an AI-enabled SaaS + hardware business.”
Mid-level Machine Learning Engineer specializing in LLMs, GenAI, and Computer Vision
“LLM/agent engineer who built a production multi-agent research automation system using LangGraph (planner, retriever with FAISS, supervisor, evaluator) with structured outputs and citation tracking for traceable reports. Emphasizes reliability and operations—LangSmith-based observability, multi-level testing, hallucination mitigation, and latency/cost controls—plus prior experience as a Computer Vision Software Engineer at Deepsight AI Labs working directly with non-technical customers.”