Pre-screened and vetted.
Mid-level Software Engineer specializing in cloud-native microservices and Healthcare IT
Mid-level Full-Stack Engineer specializing in AI agent infrastructure
Principal Full-Stack Engineer specializing in cloud-native platforms and FinTech
Senior Software Engineer specializing in distributed systems and agentic AI
Junior Full-Stack Developer specializing in web apps and AI-powered automation
Entry-level Software Engineer specializing in backend systems and AI platforms
Junior Software Engineer specializing in AI-powered backend and distributed systems
Mid-level Full-Stack AI Engineer specializing in agentic SaaS and LLM systems
Mid-level Full-Stack Software Engineer specializing in enterprise platforms and AI
Mid-level Full-Stack .NET Developer specializing in Angular, Azure, and AI integrations
Senior Video Editor & Filmmaker specializing in branded storytelling and AI-driven content
Executive product and delivery leader specializing in enterprise software and FinTech
“Product leader in accounting software who drove a legacy desktop application’s transition into a cloud SaaS platform, including security redesign, browser-based UX modernization, and ML-assisted accounting workflows. Stands out for combining deep domain knowledge in finance operations with practical change management, stakeholder alignment, and team leadership that improved quality while cutting backlog nearly in half.”
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 Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”
Executive Technology Leader specializing in Cloud Platforms, DevOps, and AI/ML
“Early-stage startup CTO helping build an AI-powered parenting assistant app with features spanning advice, shopping, task management, and inventory management. The team is currently testing an MVP with their network while the candidate simultaneously learns the seed/Series fundraising process through Connectd and early investor conversations.”
Junior AI Engineer specializing in LLMs, multimodal ML, and applied machine learning
“Software engineer with a disciplined, production-minded approach to AI-driven development: uses ChatGPT, Claude, GitHub Copilot, and scoped coding agents to accelerate delivery without giving up architectural judgment. Notably applied a multi-agent workflow on ClinicOps Copilot, using agents for planning, Bedrock/RAG scaffolding, and failure testing while personally owning architecture, grounding quality, and end-to-end review.”
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.”
Junior AI Engineer specializing in agentic AI, RAG, and voice/telephony systems
“LLM/agent engineer who has built production multi-agent systems (LangChain/LangGraph) for enterprise workflows like email and calendar automation, with a strong focus on latency, tool-calling accuracy, and evaluation via LangSmith. Also worked on AI long-term memory using knowledge graphs at VEAI and communicated the approach and tradeoffs to CEO/CTO stakeholders.”
Mid-level Technical Support Engineer specializing in enterprise SaaS and cloud platforms
“Customer-facing platform support professional focused on application security and reliability for SaaS integrations, with hands-on experience troubleshooting API auth failures and data update issues using Linux/app/DB logs, SQL, and monitoring. Demonstrates strong security fundamentals (least privilege, TLS/access controls, credential rotation) and can design secure AWS agent integrations while also supporting Azure containerized REST API deployments via CI/CD.”