Pre-screened and vetted.
Mid-level Applied AI Developer specializing in Generative AI and Python
Mid-level Python Developer specializing in cloud-native backend APIs and Healthcare IT
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
Mid-level Full-Stack Developer specializing in React and Spring Boot microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native platforms and LLM/RAG systems
Junior Full-Stack Software Development Engineer specializing in cloud-native web apps
Junior Product Manager specializing in travel booking growth and add-on monetization
Mid-level Software Engineer specializing in full-stack Java microservices and cloud
Senior Backend Engineer specializing in cloud-native microservices and computer vision
Mid-level Full-Stack Java Developer specializing in microservices and cloud deployments
Mid-level Machine Learning Researcher specializing in multimodal deep learning and digital pathology
Mid-level Machine Learning Engineer specializing in GenAI and RAG systems
Mid-level Robotics & Distributed Systems Software Engineer
Mid-Level Full-Stack Software Developer specializing in FinTech and credit risk platforms
Mid-level Full-Stack Software Engineer specializing in distributed systems and FinTech
Mid-level Software Development Engineer specializing in cloud-native microservices on AWS
Mid-Level Python Full-Stack Engineer specializing in Financial Services
“Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.”
Junior Data Scientist / Software Engineer specializing in data pipelines and applied ML
“Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.”