Pre-screened and vetted.
Junior Software Developer & QA Engineer specializing in test automation and AI/ML
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-Level Software Engineer specializing in full-stack systems and authentication
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Mid-level Backend Software Engineer specializing in APIs and scalable enterprise systems
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior Software QA Engineer specializing in test automation and CI/CD
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Principal Software Engineer & Product Leader specializing in distributed systems and agentic platforms
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Staff/Lead Full-Stack Software Engineer specializing in .NET, Angular, and cloud architecture
Senior Cloud & DevOps Engineer specializing in AWS, Azure, and GCP automation
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”
Senior Software Engineer specializing in Unity game development and multiplayer systems
“Unity gameplay/game-flow programmer with ~10 years in the games industry who has shipped on Meta Quest 1 & 2. Built a Steam-available multiplayer "Vampire Survivors"-style co-op demo largely solo in a 6-month contract, handling everything from networking and UI to performance optimization (GPU instancing) and Steam publishing.”
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Mid-Level Unity Engineer specializing in multiplayer, graphics, and AR/VR simulation
“Unity VR developer who improved engagement on a space-exploration KIDS VR title by tackling motion discomfort and unclear interaction flow—refactoring XR locomotion, rebuilding onboarding with a state machine, and optimizing rendering to sustain 72+ FPS on standalone headsets. Also brings Photon Fusion multiplayer experience with server-authoritative design, client-side prediction, and rollback-safe deterministic gameplay, plus strong cross-functional iteration with designers and artists.”
Senior Frontend Engineer specializing in React, Node.js, and AWS
“Frontend engineer who led the Dash Merchant App and Backoffice platform (React/TypeScript/Redux) supporting $50M+ in monthly transactions. Focused on scalable architecture and reliability—introduced typed API layers, centralized error handling, and performance optimizations (including ~40% load-time reduction) while driving team adoption through incremental refactors, templates, and pairing.”