Pre-screened and vetted.
Mid-level Java Full-Stack Developer specializing in cloud-native microservices and ERP/finance systems
Mid-level Full-Stack Software Engineer specializing in FinTech microservices
Junior Full-Stack Software Engineer specializing in web apps and cybersecurity
Mid-level Full-Stack Java Developer specializing in microservices and cloud deployments
Mid-level Software Engineer specializing in full-stack, ML, and cloud
Junior Full-Stack Software Engineer specializing in AWS and container security
Mid-Level Java Developer specializing in Spring Boot microservices and cloud platforms
Senior Full-Stack Developer & Solutions Architect specializing in microservices and cloud-native systems
Intern Software Engineer specializing in AI/ML and cloud data pipelines
Junior Software Engineer specializing in backend systems and applied machine learning
Mid-level Full-Stack Developer specializing in MERN and serverless web apps
Mid-level Software Engineer specializing in Python backend systems and APIs
Senior Software Engineer specializing in cloud-native microservices and full-stack development
Junior Full-Stack Developer specializing in web systems and performance-focused backend work
Mid-level SDET specializing in cloud-native test automation and API testing
Mid-Level Full-Stack Software Engineer specializing in AWS cloud-native web apps
Executive Technology Leader specializing in SaaS, cloud platforms, and engineering leadership
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Junior Full-Stack Software Engineer specializing in cloud-native distributed systems
“Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.”
Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications
“AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.”
Senior Full-Stack Python & AI Engineer specializing in FinTech and real-time platforms