Pre-screened and vetted.
Senior Java Full-Stack Developer specializing in cloud-native FinTech and payments
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Junior Production Operations & Platform Analyst specializing in enterprise financial services
Senior DevOps/Cloud Engineer specializing in AWS, Kubernetes (EKS), Terraform, and DevSecOps
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Mid-level Data Platform Engineer specializing in analytics, SIEM telemetry, and cloud infrastructure
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level DevOps Engineer specializing in cloud infrastructure, automation, and CI/CD
Senior Cloud Security Architect specializing in multi-cloud security and DevSecOps
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Cloud Security & DevSecOps Engineer specializing in AWS/Azure security automation
Senior QA Engineer specializing in test automation, API validation, and CI/CD quality
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Director/VP Infrastructure & AI Platform Engineering specializing in on-prem GPU data centers
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.”
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Backend/platform engineer who has owned a real-time data ingestion/processing/reporting API built with FastAPI, Redis, and Celery, including performance tuning via query/index optimization, caching, and async workers. Strong Kubernetes + CI/CD + GitOps (ArgoCD) experience, plus hands-on monitoring/logging (Prometheus/Grafana/ELK) and a Kafka/Spark real-time streaming project from their master’s program.”
Junior Machine Learning Engineer specializing in semantic search and retrieval systems
“Built and shipped a production RAG system (“TROJAN KNOWLEDGE”) for answering questions over technical PDFs, using a 3-stage retrieval stack (BM25 + FAISS + cross-encoder) to lift F1 from 71% to 84%. Drove major performance gains with a 3-level cache (memory/Redis/disk) cutting latency from ~200ms to ~10ms, and added Prometheus/Grafana monitoring plus LangChain-based fallback logic to handle OpenAI rate limits under load.”