Pre-screened and vetted.
Senior Software Engineer specializing in backend systems and data platforms
Mid-level AI/ML Engineer specializing in LLMs, agentic systems, and MLOps
Mid-Level Software Engineer specializing in backend and full-stack systems
Mid-level Software Engineer specializing in distributed systems and cybersecurity
Director-level Product Manager specializing in SaaS, platforms, and AI
Mid-Level Software Engineer specializing in Cloud-Native Platforms on AWS and Kubernetes
Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems
Entry Software Engineer specializing in distributed systems and AI applications
Senior Full-Stack AI Engineer specializing in LLMs, RAG, and healthcare AI
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Intern Robotics Engineer specializing in autonomous navigation and robot integration
Engineering Manager specializing in backend platforms, risk systems, and FinTech
Director of Engineering specializing in cloud, microservices, and data-intensive platforms
Senior Data Engineer specializing in cloud-scale pipelines and legal data utilities
Executive IT & Software Development Leader specializing in cloud-native transformation and trading platforms
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”
Junior AI/ML Engineer specializing in production LLM systems and RAG
“LLM/document AI engineer who owned a production-grade contract extraction pipeline at CORAMA.AI, ingesting PDFs and dynamic JavaScript sites from 1,000+ government sources. Built a hybrid deterministic+LLM system with two-phase prompting, Pydantic guardrails, confidence scoring, and human-in-the-loop review—cutting error rates from ~35% to <5% and processing 50k+ documents at ~95% accuracy. Also built clinician-in-the-loop orchestration in research, reducing manual labeling time from 3–4 hours to ~50 minutes.”
Junior Product Designer specializing in AI-powered SaaS products
“Product-minded designer/builder who operates at the intersection of UX, support, and engineering. At Miter, they helped launch three products and built the customer-facing readiness layer that contributed to a 15% adoption increase; at Yacht Labs, they designed and implemented high-polish React/Next.js experiences and proposed a spec-driven app generation system to make AI output more controllable and trustworthy.”
Mid-level Full-Stack Software Engineer specializing in cloud and data platforms
“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”