Pre-screened and vetted.
Senior Backend Software Engineer specializing in FinTech and distributed systems
Mid-level Full-Stack Software Engineer specializing in healthcare and AI applications
Mid-level Software Engineer specializing in full-stack, cloud, and AI systems
Mid-level AI Engineer specializing in machine learning and generative AI
Mid-level Full-Stack Engineer specializing in frontend architecture and AI platforms
Senior Full-Stack Engineer specializing in video streaming and CMS platforms
Senior Backend Engineer specializing in scalable cloud and compliance systems
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Engineering Leader specializing in FinTech, payments, and enterprise platforms
Mid-level Finance Systems Analyst specializing in ERP controls, revenue modeling, and BI
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
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.”
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”