Pre-screened and vetted.
Junior Full-Stack/AI Engineer specializing in web platforms and LLM applications
“Backend engineer from FoodSupply.ai who built and evolved a scalable restaurant/supplier product and order management platform using Node.js and REST APIs. Implemented a hybrid MySQL+MongoDB data architecture, optimized performance with Redis/Prisma, and led a phased migration with feature flags and a temporary sync layer to maintain data consistency. Strong focus on production security (OAuth2, RBAC, row-level security, AWS IAM) and reliability practices (testing with Pytest, Docker/AWS pipelines).”
Mid-level Game/Software Engineer specializing in Unity & Unreal cross-platform development
“Unity/VR developer who has shipped on Meta Quest (SideQuest) and built standalone PCVR medical applications used with real patients. Built a fully solo roguelike twin-stick shooter with a highly modular ScriptableObject/state-machine architecture, including custom build-time tooling to overcome Unity runtime constraints. Uses AI selectively (e.g., Claude) to generate editor tooling like a match-3 level designer to speed up level production.”
Senior Game & XR Developer specializing in immersive VR/AR/MR experiences
“Unity game developer who built a Twitch chat integration enabling a streamer's audience to actively participate in gameplay, boosting engagement and virality. Has hands-on multiplayer experience with Photon, including RPCs/synced variables and designing for disconnects, late-joins, and low-bandwidth data transfer, and uses Cursor/AI agent workflows to accelerate feature development while maintaining code quality.”
Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration
“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”
Mid-level Software Engineer specializing in integrations and automation
“Union College robotics graduate with hands-on ROS experience building an independent “waiter bot” that took spoken orders (Mozilla DeepSpeech), used OpenCV, and navigated via SLAM on a TurtleBot with LiDAR. Also led the Union College Robotics crew for four years and implemented PID control for micromouse maze robots; has additional software deployment experience with Dockerized FastAPI and CI/CD from coursework.”
Junior AI/ML Software Engineer specializing in automation and healthcare imaging
“Backend-focused engineer who built a Python-based automation system leveraging Gemini AI and prompt-driven PDF field extraction to replace a previously manual third-party workflow. Drove stakeholder alignment around accuracy/acceptance thresholds and added production-minded safeguards like graceful failure handling and backup model contingencies.”
Entry-Level Computer Vision Research Assistant specializing in medical imaging AI
“New grad who shipped an LLM-powered writing app (“Write-it”) to production on Azure with CI/CD (GitHub Actions + JFrog) and implemented an unconventional RAG pipeline to prevent repetitive prompts using embeddings and cosine similarity. Also participated in a Luma AI image/video generation hackathon, iterating with artist feedback and improving usability by rewriting non-technical prompts via an LLM.”
Senior Unity Game Developer specializing in multiplayer and VR/AR
“Unity developer focused on VR/AR multiplayer, with hands-on experience building Photon Fusion/PUN systems including networking, sync, and matchmaking. Has scaled a modular multiplayer architecture to handle more players/features while addressing latency and data consistency, and has optimized Meta Quest/mobile performance using pooling, LODs, batching, and profiling.”
Mid-level Full-Stack & XR Developer specializing in GenAI and immersive AR/VR systems
“Built and deployed a "personal second brain" product (CloneMind) with an end-to-end RAG pipeline for retrieving information across PDFs, URLs, images, and audio using Next.js/Node.js/Postgres/Supabase/Redis. Demonstrates strong practical depth in retrieval quality tuning, latency reduction via caching, and stateful orchestration with LangChain/LangGraph, plus experience persuading a non-technical professor stakeholder by shipping a working prototype.”
Senior Full-Stack Game Developer specializing in Unity and backend systems
“Unity game developer with hands-on gameplay AI experience (FSM-driven monsters with customized NavMeshAgent movement) focused on creating readable, high-tension survival encounters through iterative tuning. Has shipped/created 4 Unity games solo end-to-end (UI, animations, architecture, state machines) and has also built a full Python game server; some exposure to Photon Fusion and strong client/server REST API implementation experience.”
Principal Unity Game Developer specializing in multiplayer networking and engine architecture
“Unity lead developer who built a turn-based soccer game (Soccer Glory/Score Hero-like) with complex in-air ball simulation, AI reactions, and animation handling, then scaled production by creating an in-editor level/animation authoring tool that saves to JSON and shifted level setup from devs to designers. Strong multiplayer background across Photon PUN, Mirror, UNet, and Socket.IO, including a 100-user metaverse room and practical approaches to authoritative simulation and VR/mobile performance optimization (Meta Quest 90 FPS).”
Junior Solutions Engineer specializing in full-stack automation and LLM prompt engineering
“Built and productionized an LLM-powered customer support system using a RAG architecture with structured document ingestion, embedding retrieval, and prompt templates for product-specific grounding. Experienced diagnosing live agent/workflow failures (e.g., retrieval regressions after new docs) by refactoring ingestion/chunking and adding grounding constraints plus evaluation benchmarks. Also supports go-to-market by joining discovery calls, shaping MVP workflows into demos/prototypes, and creating post-launch documentation to drive adoption.”
Junior Full-Stack Software Engineer specializing in Node.js, React, and REST APIs
“Full-stack engineer who shipped and owned a production Document Chat feature built with Next.js App Router/TypeScript and a Node/Express RAG backend, including JWT-secured route handlers and streaming responses. Demonstrated strong post-launch ownership by improving latency (~30%) via MongoDB indexing/query optimization and reducing AI costs through caching, backed by profiling with React Profiler and Chrome DevTools.”
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Built and shipped a production LLM-powered incident response agent for a microservices platform, automating alert triage and safe remediation recommendations with strong guardrails (RAG grounding, structured JSON outputs, rule-based validation, and human-in-the-loop). Implemented state-machine orchestration (Redis/Kafka), comprehensive eval/monitoring, and an error categorization pipeline that cut hallucination errors ~40% and reduced MTTR ~30%.”
“Software engineer with experience spanning healthcare middleware (patient records + insurance integration) and an AI fantasy football product built with React/TypeScript, Firebase, API gateways, and pandas-based data pipelines. Has hands-on microservices scaling experience (latency mitigation, async migration, state-based redesign) and built an internal feature-toggle dashboard that improved demo efficiency and sales outcomes.”
Senior Full-Stack Developer specializing in Node.js/TypeScript, cloud, and data engineering
“Frontend/fullstack lead who inherited a messy psychological app with production issues, drove a rapid stabilization (2–3 weeks) and major performance/architecture overhaul (Redux Toolkit, memoization, caching, lazy loading, CDN offload to S3/CloudFront). Also owns delivery and infrastructure practices (multi-env, Docker, GitHub Actions CI/CD, AWS ECS + load balancing) and led a 1-week POC for an AI-powered trucking management system (app.neblo.ai).”
Executive CTO / Engineering Leader specializing in Full-Stack Architecture and Cloud Delivery
“Founder building a hiring-focused startup who has engaged with venture investors but is prioritizing direct end-user traction through email marketing and other outreach before returning to raise a seed round. Has experience working with startups that have already raised seed funding and demonstrates a structured approach to market validation (customer conversations, landing pages) prior to heavy development.”
Mid-Level Applied AI Engineer specializing in LLM services, RAG, and OCR/NLP extraction
“Backend/platform engineer who built and evolved a large-scale healthcare document processing system (OCR + LLM orchestration) in Python/FastAPI on Google Cloud (Cloud Run, GCS, Firestore), processing ~1.5M files per batch and tens of millions overall. Emphasizes reliability and operational safety via deterministic IDs, idempotent state machines, strong observability, and self-healing reconciliation, plus disciplined migrations using dual-run validation and incremental rollouts.”
Staff/Lead Game Engineer specializing in gameplay systems and VR
“Unity gameplay programmer with hands-on multiplayer networking experience (Photon Fusion, Mirror, SmartFox, Unity networking), including client-side prediction and rollback to smooth networked movement under lag/packet loss. Recently improved a fast-paced 2D platformer’s feel by adding momentum/velocity “gears,” validated through internal cohorts and volunteer/friends-and-family playtests. Comfortable in both startup and large-company environments and currently seeking a high-impact, intensive project.”
Senior XR/Unity Developer specializing in AR/VR mobile and immersive experiences
“Unity/C# XR developer who shipped a HoloLens 1 medical congress experience from scratch (including modeling, animation, and full system architecture), later credited with driving retention/revenue and helping the client win an international best-practice award. Has VR (Meta Quest 2) experience integrating OpenAI-powered dialogue and has delivered cross-platform AR/VR interaction patterns across HoloLens and iOS/Android via AR Foundation and the Unity Input System.”
Mid-level Design Engineer specializing in product design and front-end implementation
“Product designer-builder who codes, with a rare end-to-end profile spanning product strategy, UX, design systems, frontend engineering, and AI integration. Built PetCloud/PetClub as a fully solo product in Next.js/TypeScript/Supabase and has also driven measurable UX gains in company settings, including 25% higher engagement, faster design-to-dev handoff, and fewer UI bugs.”
Senior Unity Developer specializing in gameplay, multiplayer, and backend integration
“Unity gameplay engineer who has shipped mobile and Meta Quest VR titles, leveraging DOTS/ECS for large-scale war/rts-style scenes and mobile performance. Built multiplayer features using Photon PUN 2 with PlayFab matchmaking/backend and implemented live network debugging/recovery strategies. Also prototyped an AI/LLM-assisted pipeline for generating and validating gameplay/level content via structured JSON with fallbacks and caching to control reliability and cost.”
Mid-level Unity Game Developer specializing in multiplayer and performance optimization
“Senior gameplay/multiplayer engineer based in Argentina with hands-on experience building Unity/C# networked systems end to end, including Mirror-based gameplay architecture and server-authoritative MMO-style networking. Particularly strong in multiplayer stability, sync/prediction design, and performance profiling across VR and mobile, with thoughtful early-stage architecture ideas for AI/LLM-enabled game features and internal pipelines.”
Mid-level Full-Stack Software Engineer specializing in AI and RAG systems
“Backend/AI engineer who built an enterprise RAG chatbot over 40,000+ technical documents, owning the system from ingestion and retrieval design through launch, optimization, and incident prevention. Stands out for treating LLM reliability as a data, retrieval, and observability problem—delivering 90%+ benchmark accuracy, ~50% fewer hallucinations, and major gains in lookup speed and latency.”