Pre-screened and vetted.
Senior Data Engineer specializing in multi-cloud lakehouse architectures and privacy/AI governance
Junior Data Engineer specializing in cloud data platforms and MLOps
Mid-Level Full-Stack Software Engineer specializing in AI-native workflows
Senior AI and Full-Stack Engineer specializing in LLM-powered microservices
Mid-level Data Analyst specializing in healthcare and financial analytics
Senior Power BI Developer specializing in healthcare and financial analytics
Mid-level Data Analyst specializing in business intelligence and predictive analytics
Mid-level Data Analyst specializing in financial, operational, and regulatory reporting
Senior Software Engineer specializing in GenAI and full-stack enterprise applications
Mid AI/ML Engineer specializing in MLOps, deep learning, and cloud ML systems
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native applications
Mid-level Software Engineer specializing in distributed backend systems for FinTech
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Mid-level Data Engineer specializing in AWS data lakes for healthcare and financial services
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”
Mid-level AI/ML Engineer specializing in NLP, GenAI, and MLOps in healthcare and finance
“AI/ML engineer with CVS Health experience deploying production LLM systems in regulated healthcare settings, including a large-scale RAG solution (1M+ documents) built for compliance-grade, auditable policy/regulatory Q&A with strong anti-hallucination controls. Also delivered an NLP summarization system for physician notes/case narratives by partnering closely with non-technical care operations stakeholders and iterating via prototypes, dashboards, and feedback loops.”