Pre-screened and vetted.
Senior Full-Stack Engineer specializing in AI, Web3, and scalable web platforms
Senior Full-Stack Engineer specializing in cloud platforms, AI/ML, and blockchain
Senior Software Engineer specializing in AI agents and cloud platforms
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Senior Software Engineer specializing in Python and AWS cloud backend systems
Executive Technology Leader (CTO/CPO) specializing in AI, robotics, and warehouse automation
“VP/CTO-level leader who builds globally distributed engineering organizations and operating systems (SAFe, governance, real-time metrics) to align product, engineering, and executives. Drove a security modernization initiative in a robotics context using Achilles and Polaris, remediating vulnerabilities and upgrading libraries to achieve a cyber certification that was ahead of industry norms.”
Executive Chief of Staff and Strategic Operations Leader across SaaS, government, and national security
“Entrepreneurial consultant who relocated to Boston to build a practice from scratch through intensive networking and pro-bono work, leading to being listed as a trusted provider in Leader Bank's CEO toolbox and generating qualified leads. Uses structured strategic frameworks (OODA, Porter's Five Forces, SWOT) to evaluate risk, resource lift, and enterprise/customer impact, with a strong ownership-and-accountability orientation.”
Mid-Level Software Engineer specializing in Azure AI and full-stack development
“Hands-on AI/LLM engineer who built a RAG-based product feature end-to-end, including prompt engineering, safety guardrails, and an automated adversarial + load-testing harness. Diagnosed real production issues (null responses) via Azure logs/metrics and drove an architectural fix by separating model deployments to address token/quota limits. Also runs internal developer enablement through short theory-to-hands-on AI workshops after completing a Microsoft AI certification.”
Executive CTO and Founder specializing in AI platforms and hyper-scale SaaS
“CTO-minded builder seeking to join a startup; previously created an AI-driven platform that abstracted away DevOps and infrastructure for drug discovery researchers. Emphasizes high-leverage, zero-to-one execution with managed cloud/open-source tooling, and a strong reliability/reproducibility mindset validated against existing scientific pipelines.”
Mid-level Software Engineer specializing in AI/LLM and distributed systems
“Recent internship project at Google Workspace building an LLM-driven Python backend pipeline to extract/enrich NLP features from messy customer web domains and integrate them into a Domain Feature Store for personalization and promotions. Also has hands-on Kubernetes/Docker deployment experience for a Digital Signage SaaS backend with GitHub Actions CI, plus strong streaming-systems knowledge (Kafka exactly-once, schema evolution, Flink scaling) and built an information retrieval system handling 30,000+ cases.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
“ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.”
Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”
Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms
“Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.”
Executive CTO specializing in AI/ML platforms and enterprise SaaS engineering leadership
“CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.”
Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML
Senior Backend Engineer specializing in scalable AWS serverless and data pipelines
Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms
Staff Full-Stack Software Engineer specializing in scalable web platforms and cloud infrastructure