Pre-screened and vetted.
Mid-Level Software Development Engineer specializing in cloud platforms, IAM, and secure GenAI
Mid-Level Full-Stack Software Engineer specializing in scalable web platforms and APIs
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Mid-level Full-Stack Engineer specializing in microservices and cloud-native systems
Intern/Entry Full-Stack Software Engineer specializing in backend APIs and AWS
Mid-level Full-Stack Developer specializing in Python and Next.js cloud-native systems
Senior DevOps & Cloud Engineer specializing in Kubernetes, multi-cloud, and LLMOps
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Senior Full-Stack Developer specializing in Python, Django, React, and cloud-native SaaS
Senior Full-Stack Python Engineer specializing in scalable web apps and APIs
Mid-Level Full-Stack Software Engineer specializing in FinTech and Mortgage systems
“Full-stack engineer with deep AWS serverless and reliability experience in fintech/underwriting systems, including eligibility scoring and dynamic rule deployments. Built and productionized an LLM-powered incident RCA assistant (Bedrock Claude 3 + custom RAG + React) achieving 92% precision and ~75% MTTR reduction, with mature guardrails (evals, drift monitoring, HITL, audit logs) and strong operational rigor (canaries, chaos testing, DLQ remediation).”
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack/backend engineer who owned end-to-end delivery for DentalScan, an AI-powered healthcare platform, building Kafka-based Node.js microservices plus Next.js clinician dashboards and CI/CD on Vercel. Productionized LLM/voice AI patient communication (Twilio/Retell AI) with prompt templates, guardrails, and monitoring, supporting 1,000+ scans/day at sub-100ms latency and reducing clinic admin workload. Previously modernized an agricultural data platform at Infosys to Spring Boot/Docker microservices with Redis, Jenkins CI/CD, and AWS CloudWatch monitoring.”
Mid-level AI Engineer specializing in LLMs, agentic systems, and MLOps
“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”
Mid-level Data Scientist specializing in Generative AI and MLOps
“GenAI/LLM engineer with production experience at Allstate building an end-to-end document intelligence workflow for insurance operations—automating document intake, classification, and risk signal extraction. Emphasizes high-reliability design for regulated/high-stakes outputs using schema enforcement, confidence thresholds, validation rules, and human-in-the-loop routing, with metric-driven offline evaluation and production monitoring.”
Senior Backend/Full-Stack Engineer specializing in data platforms and cloud microservices
“Backend engineer who built and shipped an end-to-end AI outreach product (LazyMails) combining a LinkedIn-scraping Chrome extension with a FastAPI/Postgres backend and Gemini-powered email generation, achieving major personal productivity gains. Also has enterprise experience at TCS on Humana’s 500k+ user wellness platform running Kubernetes microservices with Azure DevOps CI/CD, plus Kafka-based real-time eligibility event streaming and GitOps-driven operations.”
Executive CTO specializing in SaaS product and engineering leadership
“Engineering/product leader in early-stage environments who has repeatedly driven major pivots and scaling efforts: pandemic-era refactor at NameCoach and multi-community expansion at Nolodex (now ~20 communities). Comfortable going from executive roadmap/stakeholder alignment to hands-on implementation (e.g., webhooks), and has led architecture shifts (monolith-to-distributed, Heroku-to-AWS) while managing outsourced/offshore teams through organizational friction.”
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Backend Software Engineer specializing in distributed systems and cloud-native microservices
Mid-level Backend Software Engineer specializing in Java microservices and Azure cloud
Principal Software Architect specializing in Healthcare IT and cloud-native systems