Pre-screened and vetted.
Senior Data Engineer specializing in multi-cloud lakehouse architectures and privacy/AI governance
Senior AI and Full-Stack Engineer specializing in LLM-powered microservices
Senior DevOps Engineer specializing in Kubernetes and multi-cloud infrastructure
Mid-level Data Analyst specializing in healthcare and financial analytics
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Senior Engineering Leader specializing in platform engineering, DevOps, and SRE
Senior Project Manager specializing in enterprise systems and infrastructure transformation
Senior Project Manager and Scrum Master specializing in IT programs and Agile delivery
Senior Software Engineer specializing in compliance, FinTech, and healthcare platforms
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Executive Cybersecurity & Risk Management Leader specializing in FedRAMP, CMMC, and cloud security
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 healthcare, risk modeling, and MLOps
“Robotics software engineer who built a ROS Noetic-based perception-to-control stack for a pick-and-place robotic arm, integrating OpenCV/TensorFlow vision with motion planning and PID tuning. Demonstrated strong real-time debugging skills (rosbag, queue/latency fixes) and experience deploying reproducible robotics environments with Gazebo simulation, Docker, and GitLab CI.”
Senior Full-Stack Java Developer specializing in microservices and cloud platforms
“Backend/platform engineer who owns policy-lifecycle workflow microservices built in Python/FastAPI with async + DDD, Kafka event processing, SQLAlchemy, JWT/RBAC, and Redis caching (cut DB load ~40%). Experienced deploying Java and Python microservices to Kubernetes with Helm and GitOps (ArgoCD) plus Jenkins/GitHub Actions pipelines to AWS/ECR, and has supported phased on-prem-to-cloud migrations with dependency mapping and data consistency strategies.”
Mid-level AI/ML Engineer specializing in LLMs, GenAI, and NLP
“AI/ML Engineer who built a production RAG-based LLM system for insurance policy documents, turning thousands of messy PDFs into a searchable index using LangChain, Azure AI Search vectors, hybrid retrieval, and FastAPI. Strong focus on evaluation (MRR/precision@k/recall@k, REGAS) and performance optimization (vLLM), with prior clinical NLP experience using BERT-based NER validated on ground-truth datasets.”
Mid-level Conversational AI Developer specializing in enterprise chatbots and RAG
“ML/AI practitioner with hands-on experience deploying models to production and optimizing for low-latency inference using pruning/quantization, with deployments on AWS SageMaker and Azure ML. Has orchestrated end-to-end ML pipelines with Airflow and Kubeflow (ingestion through evaluation) and emphasizes reproducibility via containerization and version-controlled artifacts, while effectively partnering with non-technical stakeholders using dashboards and business-aligned metrics.”
Senior Full-Stack Software Engineer specializing in API architecture and AI agentic RAG systems
“Hands-on backend/AI engineer who solo-built two production Claude-based agent systems: an internal Slack RAG over Confluence/Jira/code/regulatory docs and a HIPAA/GDPR-compliant patient chatbot with embedding guardrails and expert-in-the-loop evals. Also architected a multi-region patient portal + microservices platform with Terraform/CI-CD and federated gateways, delivering major onboarding automation and strong reliability wins (PgBouncer, chaos/perf testing).”