Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in web apps and voice AI
“Software engineer with a graphic design/marketing background who led a 4-month U.S. Department of State Diplomacy Lab project delivering a proprietary React/Electron + Flask + PostgreSQL scheduling app, including OKTA SSO integration under strict government confidentiality constraints. Also has hands-on production web experience fixing a broken WordPress/Elementor content system by scripting automated recategorization and date corrections.”
Entry-Level Robotics Software Engineer specializing in ROS 2 autonomy and multi-robot systems
“Robotics software engineer focused on ROS 2 multi-robot coordination, having built task allocation and reliable inter-robot communication for simulated TurtleBot3 fleets. Demonstrates strong integration/debugging skills across Nav2 + gmapping (SLAM drift, TF tree, odometry/sensor fusion) and pairs it with production-minded tooling—Docker/Kubernetes deployments and CI/CD simulation testing via GitHub Actions.”
Mid-level IT Support & Solutions Professional specializing in customer enablement and system reliability
“Early-career candidate with customer service experience and a cybersecurity bootcamp background (vulnerability management). Undergraduate project focused on securing online exams during COVID using identity verification (facial recognition + email/phone code) and 360-degree monitoring to reduce cheating, and they navigated student pushback to enforce integrity.”
Senior Computer Vision Engineer specializing in AI/ML for scientific imaging
“Computer-vision engineer with hands-on experience designing UAV-based production imaging systems for object detection/tracking, including camera selection and resolution/zoom tradeoffs. Improved segmentation/measurement accuracy by implementing orthorectification using ground points plus intrinsic/extrinsic calibration to correct perspective distortion, and has built Python/OpenCV pipelines (including barcode-focused grayscale processing and multithreaded execution).”
Mid-level AR/VR & Unity Developer specializing in mobile XR and real-time 3D
“Game/VR simulation developer who built and shipped multiple VR training levels (e.g., nursing and scientific method) at VXR Labs, owning level implementation and backend logic. Experienced in Unreal Engine 5 Blueprints prototyping (including a horde mode) and in designing tightly gated, step-based educational experiences while collaborating closely with educators/subject-matter experts to balance realism with VR feasibility.”
Junior Full-Stack AI Developer specializing in LLMs and RAG applications
“Product-minded software engineer who owned a Shopify POS app end-to-end at Swym, shipping an MVP and then scaling iteration speed with E2E automation and CI/CD—resulting in a Shopify Badge, Top-5 App Store ranking, and +40% new user acquisition. Also built an ESG insights tool using React/TypeScript + FastAPI with Snowflake and a RAG pipeline, plus microservices patterns (async jobs, queues, DLQs, autoscaling) and internal Metabase/SQL analytics dashboards.”
Junior XR Developer specializing in AR/VR training simulations and immersive applications
“Unity/C# VR developer with shipped Meta Quest experience across multiplayer VR simulations, haptics-driven maze navigation, and VR interior walkthroughs. Built a solo sound-based sandbox VR game ('Alchemix'd') and demonstrates strong hands-on debugging of XR rig collisions, multiplayer sync, and URP performance issues.”
Senior AI/ML Engineer specializing in LLMs, RAG, and VR/XR multimodal systems
“PhD researcher (University of Utah) who built a production RAG-powered Virtual Reality Research Assistant to answer lab research questions with concrete citations. Implemented an end-to-end LangChain pipeline using PyPDFLoader, chunking strategies, OpenAI embeddings, and ChromaDB, with emphasis on grounding to reduce hallucinations and ensure research-grade accuracy. Collaborated closely with a non-technical PhD advisor to scope requirements, manage cost constraints, and demo iterative progress.”
Junior Embedded Firmware Developer specializing in microcontrollers and wireless protocols
“Cal Poly student with embedded + networking + robotics project experience, including an E4E summer research internship building an acoustic collar on an STM32 and collaborating weekly with the San Diego Zoo Wildlife Alliance. Built a hobby ESP32-based Spotify “now playing” display and demonstrated strong cross-domain debugging by tracing failures to router behavior rather than code.”
Intern Software Engineer specializing in ML applications and LLM platform engineering
“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”
Mid-level Robotics Engineer specializing in ROS 2, control systems, and manipulation
“Robotics software engineer with hands-on ROS2 experience across manipulation, SLAM/localization, and sensor fusion. Recently built an end-to-end hybrid force-position control system for a Ufactory xArm7 with a 6-axis force/torque sensor to enable compliant, force-guided shaft insertion, including real-time Jacobian computation, TF pipeline, and MoveIt2 trajectory execution validated on hardware.”
Mid-level Robotics Software Engineer specializing in ROS, C++ and embedded Linux
“Robotics software lead at Icor who grew from intern to owning the end-to-end software lifecycle for a mobile manipulator platform deployed to 300+ customers globally. Deep hands-on ROS2/MoveIt2 and navigation-stack integration (URDF/TF, sensors, behavior engine) plus production infrastructure (CI/CD, OTA, field OS upgrades) and real-world performance tuning for motion planning in EOD multi-robot environments.”
Mid-Level Software Engineer specializing in backend, microservices, and ML systems
“Primary designer/implementer/maintainer of an open-source JavaScript library for programmatic SSML generation and validation in text-to-speech pipelines. Focused on safety-by-default APIs with vendor-specific extension adapters, strong backward compatibility/deprecation practices, and measurable performance gains by removing redundant validation stages. Emphasizes developer experience through example-driven documentation and systematic community issue triage.”
Mid-level Systems Integration & Test Engineer specializing in embedded robotics and automation
“Senior engineering student leading a robotics capstone using a Jetson Nano + Yahboom DOFBOT to play whiteboard games (Tic-Tac-Toe, Hangman) via computer vision and ML. Owns the inverse kinematics and OpenCV pipeline, uses Gazebo/URDF for simulation, and is planning C++/multithreading/Pybind11 optimizations to meet real-time constraints on limited embedded hardware.”
Junior Robotics Engineer specializing in controls, simulation, and production debugging
“Robotics software engineer who helped build a startup "robo-chef" system end-to-end, including pick-and-place simulation using ArUco-marked stations and smooth motion planning. Hands-on ROS 2 integrator across LiDAR/IMU/camera perception-to-navigation stacks (Nav2, SLAM Toolbox, ros2_control), with demonstrated ability to debug real-time timing drift and improve repeatable placement through calibration and motion blending. Uses Gazebo simulation plus Docker/CI pipelines to validate and deploy robotics software reliably.”
Senior Technical Designer/Engineer specializing in Unreal Engine and AR/VR interactivity
“UE5 Blueprint-focused gameplay developer who shipped a VR rhythm title (Starwave), owning the player-facing star-hit interaction/feel and iterating heavily through playtests without dedicated QA. Also designed a modular tutorial/quest system by decomposing quests into reusable components so writers could assemble content independently, and has experience debugging Unreal Nav Mesh pathing issues that impacted gameplay and load times.”
Junior Investment Analyst specializing in AI & DeepTech
“VC-style founder sourcer who uses technical signals (GitHub) and niche communities (Elpha/Indie Hackers/Discord) to identify early-stage opportunities, including thesis-driven sourcing in applied AI infrastructure/observability from YC W24. Emphasizes value-first LinkedIn outreach and long-horizon relationship building (e.g., built a personal relationship with Snitch’s CTO who later reached out first about a new startup).”
Mid-level Software Development Engineer specializing in backend, cloud, and microservices
“Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.”
Mid-level Embedded Software Engineer specializing in RTOS and microcontroller firmware
“Backend/embedded-focused engineer with hands-on experience designing real-time, memory/power-constrained firmware architectures and also building Python/FastAPI services. Demonstrates strong production rigor across migrations (strangler pattern, shadow reads, feature flags), security (OIDC/JWT, RBAC/ABAC, Postgres RLS), and robustness for async workflows (idempotency, event ordering, state machines).”
Junior Robotics Engineer specializing in computer vision and sensor fusion
“Robotics software engineer with ~3 years of ROS experience spanning drone autonomy and perception. Recently improved drone barcode scanning by shifting to segmentation and deploying an optimized instance-seg model to edge hardware (FP16 quantization, convex-hull masks), while also building ROS drivers/parameters for field-tunable behavior. Has hands-on experience integrating LegoLOAM and calibration/TF systems, including creating RViz visualization tools to validate transforms and debugging real-world drift issues caused by lighting/glare.”
Senior Machine Learning Engineer specializing in NLP, LLMs, and AI systems
“AI/ML engineer with hands-on experience building a healthcare-focused generative AI application end-to-end, from architecture and data design through deployment, monitoring, and iterative improvement. Particularly strong in multi-agent LLM systems, fine-tuning, and safety guardrails, with measurable impact including a 20% accuracy lift to 91% and 10% latency improvement in a nutrition recommendation pipeline.”
Senior Machine Learning Engineer specializing in LLMs, computer vision, and cloud AI
“Healthcare-focused ML/AI engineer who has built clinical note summarization and medical image annotation solutions using LLMs, RAG, and multimodal models. They combine experimentation across major model providers with practical production concerns like monitoring, drift detection, and latency/cost tradeoffs, and also earned 2nd place in a Google hackathon for a medical AI assistant.”
Mid-level ML Software Engineer specializing in real-time AI and backend systems
“AI engineer focused on production-grade LLM systems rather than prompt-only solutions, with hands-on experience building citation-grounded RAG products and multi-agent workflows. Most notably built a financial document intelligence system for SEC filings and contracts that achieved ~92% recall@5, cut latency below 2 seconds, reduced hallucinations, and turned analyst research from hours into seconds.”