Pre-screened and vetted.
Mid-level Backend/Distributed Systems Engineer specializing in cloud-native data pipelines
Mid-level Software Development Engineer specializing in FinTech distributed systems
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-level Data Engineer specializing in AI/ML data platforms and real-time streaming
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Executive Engineering Leader specializing in Telehealth Platforms and Healthcare IT
Senior AI/ML Engineer specializing in Generative AI and cloud-native ML systems
Director-level Salesforce platform architect specializing in enterprise CRM strategy
“Salesforce-focused engineering leader who combines architecture depth with people leadership, operating today in a true player-coach role. They’ve built financial-services web apps on Heroku/Postgres integrated with Salesforce, navigated complex third-party API/vendor constraints, and have a strong track record of growing and mentoring teams—including developing junior hires into certified Salesforce talent and AppExchange/CI-CD contributors.”
Senior Software Engineer specializing in backend APIs and regulated industries
“Software engineer with recent hands-on production work across Go, Python, and React/TypeScript, spanning healthcare APIs, compliance systems, and data engineering. Stands out for delivering under ambiguity: replaced a legacy SOAP eligibility service, built a Kafka-based compliance pipeline handling 14,000 events per second, and created a modular banking data pipeline that cut month-end work by 30%.”
Principal Applied Scientist specializing in ML systems and Generative AI
“Built and owned an end-to-end agentic RAG chatbot platform for Baptist Health that helped clinicians access policy and clinical documents faster, reducing manual lookup by 80% and delivering about $2M in annual savings. Brings strong healthcare GenAI production experience, including HIPAA-aligned governance, PHI redaction, observability, evaluation, and scalable Python/Kubernetes deployment practices.”
Mid-level Software Engineer specializing in FinTech and scalable microservices
“Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.”
Senior Full-Stack Engineer specializing in AI and cloud-native applications
“Built and shipped a production LLM-powered internal developer tool that accelerated code reviews by about 30% while maintaining reliability through modular orchestration, validation, and monitoring. Demonstrates strong practical depth in agent architecture, backend workflow orchestration, and observability for non-deterministic AI systems, with concrete examples of reducing agent errors by 60%.”
Junior Software Engineer specializing in LLM systems, data engineering, and ML
“Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.”
Senior Backend Software Engineer specializing in microservices and cloud platforms
“Backend engineer with PayPal experience building a high-reliability onboarding API platform (Java/Spring Boot) integrating KYC/compliance and serving 1M+ users annually. Also shipped an internal LLM-driven developer tool that automates PR review insights and OpenAPI documentation with rigorous evaluation, schema-bound guardrails, and production observability.”
Senior Data Engineer specializing in multi-cloud data platforms and streaming pipelines
“Data platform engineer with hands-on ownership of high-volume financial data pipelines (millions of transactions/day) on Azure (ADF, Databricks, Delta Lake, Synapse), emphasizing schema-drift protection and automated data-quality gates. Also built resilient web scraping pipelines with anti-bot and backfill strategies, and shipped a versioned FastAPI + Redis data API with autoscaling, testing, and CI/CD via GitHub Actions.”
Senior Software Engineer specializing in backend systems and AI-driven automation