Pre-screened and vetted.
Mid-Level .NET Software Engineer specializing in cloud-native enterprise applications
Mid-level Python Backend Engineer specializing in compliance and healthcare billing automation
Mid-level Backend/Full-Stack Software Developer specializing in Python, Java Spring, and microservices
Mid-Level Software Engineer specializing in cloud-native microservices and event-driven systems
Junior AI Engineer specializing in RAG systems and full-stack development
Mid-level Software Engineer specializing in embedded systems and DevOps automation
Mid-level Software Engineer specializing in Java/Spring Boot microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Software QA Engineer (SDET) specializing in test automation and CI/CD
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
Mid-Level Software Developer specializing in backend systems and data engineering
Senior Game Designer specializing in mobile live ops and monetization
Senior DevOps & AWS Cloud Engineer specializing in scalable, secure cloud infrastructure
Mid-level Full-Stack Software Engineer specializing in AI-powered document platforms
Mid-level Full-Stack Engineer specializing in AI products and FinTech
Senior AI/Software Engineer specializing in cloud security and AI-powered applications
Senior .NET Full-Stack Developer specializing in ASP.NET Core, Angular, and Azure
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”