Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLM, RAG, and multimodal systems
Executive Transformation & AI Enablement Leader specializing in enterprise change and culture
Senior AI/ML Engineer specializing in healthcare LLMs and conversational AI
Senior Full-Stack Engineer specializing in cloud platforms and applied AI
Senior AI/ML Engineer specializing in healthcare and fintech AI systems
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications
Senior AI Engineer specializing in healthcare and FinTech AI systems
Senior Applied AI Engineer specializing in LLMs, RAG, and computer vision
Mid AI/ML Engineer specializing in LLM alignment and scalable AI systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and data platforms
Executive Product & Technical Services Leader specializing in AI, Crypto, and FinTech
Senior Technical Product Manager specializing in cloud database platforms on Azure
“Has hands-on familiarity with successful F2P mobile fighting games (e.g., Marvel Contest of Champions) and can articulate key retention/monetization systems like streak-based daily logins, gacha rewards, and limited-time events. While not having shipped a game directly, they have shipped web/mobile products integrated into gaming ecosystems and think in terms of live-ops health metrics and A/B testing for IAP offers.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Mid-Level Gameplay Software Engineer specializing in Unreal Engine, Unity, and AR/VR
“Unity/C# gameplay engineer who has shipped both core systems and live multiplayer features, including a modular real-time inventory system that cut crashes by 80% and improved retention. Built an LLM-driven NPC dialogue pipeline with caching, fallbacks, batching, and fine-tuned models, iterating via player feedback and analytics. Shipped a Photon Fusion multiplayer metaverse with rigorous network simulation and CI stress testing, and has VR optimization experience (Meta Quest constraints) on Horizon Worlds.”
Mid-level Backend/Full-Stack Engineer specializing in AI and FinTech payments
“Full-stack engineer who has owned an operational reporting/dashboard product end-to-end—building a React UI, designing/implementing FastAPI services, and deploying/operating on AWS. Demonstrates strong performance engineering (Postgres query/index tuning using EXPLAIN ANALYZE) with concrete impact (reports reduced from tens of seconds to a few seconds) and a reliability mindset across observability, migrations, and resilient third-party/ETL integrations.”
Director of Software Engineering specializing in enterprise Data, ML & AI platforms
“Former Walmart Director of Software Engineering who left in March 2025 to build products for clients. Recently delivered an LLM/RAG-based UNSPSC classification solution for an MRO client using a multi-stage retrieval + web search + prompt-engineering workflow, and has led large-scale retail forecasting initiatives and high-severity cloud-migration incidents end-to-end.”
Junior Machine Learning Engineer specializing in LLMs and data pipelines
“Research Extern at Google DeepMind and former AWS Software Development Engineer Intern with a strong focus on practical, trustworthy AI engineering. Built a multi-agent RAG system for personalized news headline generation using a fine-tuned Flan-T5 model, parallel critic agents, FAISS retrieval, and style embeddings, while also leading a 3-person team on the project.”
Staff Frontend Engineer specializing in enterprise SaaS, analytics, and AI-powered products
“Frontend tech lead at HubSpot who shipped an LLM-powered insights dashboard that analyzed complex customer interaction histories and surfaced sentiment, challenges, and next-best actions for sales users. Stands out for having taken an AI feature beyond prototype into beta and full production, with strong emphasis on testing, maintainability, and practical production tradeoffs.”