Pre-screened and vetted.
Mid-level Backend/Full-Stack Engineer specializing in AI and FinTech payments
“Full-stack engineer who has owned an operational reporting/dashboard product end-to-end—building a React UI, designing/implementing FastAPI services, and deploying/operating on AWS. Demonstrates strong performance engineering (Postgres query/index tuning using EXPLAIN ANALYZE) with concrete impact (reports reduced from tens of seconds to a few seconds) and a reliability mindset across observability, migrations, and resilient third-party/ETL integrations.”
“Machine learning software engineer intern experience at Amazon, where they built a production testing framework to inject frames/videos onto devices to measure embedded CV model inference and ensure broad model compatibility via automatic NNA metadata handling. Also built side projects spanning LLM/RAG orchestration (LangChain/LangGraph with reranking and citations) and applied CV/healthcare work (nail disease detection, medical retrieval chatbot).”
Mid-Level Backend/Full-Stack Software Developer specializing in cloud-native APIs
Senior Backend Engineer specializing in FinTech and cloud-native microservices
Staff Full-Stack & AI Engineer specializing in LLM agents, RAG, and cloud-native systems
Mid-Level Backend Engineer specializing in distributed event processing
Mid-level Full-Stack & AI Backend Engineer specializing in LLM/RAG systems
Junior Full-Stack Engineer specializing in web applications and backend systems
“Software engineer at Paradigm who is deeply hands-on with agentic development workflows and AI-assisted coding. He built an in-house OAuth layer to replace a third-party service and reduce projected integration costs, and also created an "ambient agent" that proactively responds to user behavior on the website. He stands out for combining full-stack architecture thinking with a disciplined, model-aware workflow for designing, implementing, and reviewing AI-generated code.”
Mid-level Software Engineer specializing in FinTech and full-stack platforms
“Built a kitchen capacity management system for merchants, owning deployment through stabilization and continuously tuning capacity based on fulfillment and cancellation outcomes. Also designed customer-support decision workflows for refunds/credits with a focus on fraud cost reduction, and has hands-on experience with Kafka, Flink, relational databases, and production incident mitigation via feature-flag rollbacks.”
Mid-Level Backend Engineer specializing in cloud-native distributed systems and data pipelines
Senior Software Engineer specializing in cloud-native FinTech and SaaS systems
Mid-Level Software Engineer specializing in backend and full-stack systems
Senior Machine Learning Engineer specializing in LLM systems and generative AI
Staff Full-Stack Software Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud-native backend and distributed systems
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”
Senior Full-Stack Engineer specializing in Python web and AI applications
“Backend-heavy full-stack engineer with startup fintech experience who built a real-time lending eligibility service that cut decision time from 12-24 hours to under 5 seconds and lifted conversion by ~15%. Also has B2B SaaS experience automating construction workflows, with strong hands-on work across React/TypeScript, Python/FastAPI, Node.js, Kafka, Redis, and some Go.”
Mid-level Software Engineer specializing in AI systems and FinTech
Mid-level Software Engineer specializing in backend, cloud-native data platforms, and ETL