Pre-screened and vetted in the Bay Area.
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Mid-level Robotics & Firmware Engineer specializing in continuum robotics and SerDes validation
Mid-Level Python Developer specializing in Django, data pipelines, and automation
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Mid-level Software Engineer specializing in cloud infrastructure and distributed systems
Mid-level Software Engineer specializing in backend systems and FinTech
Senior Full-Stack Engineer specializing in AI-powered enterprise applications
Senior Software Engineer specializing in scalable backend and distributed systems
Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps
Principal Software Engineer specializing in distributed systems and cloud microservices
Senior Robotics Researcher specializing in SLAM and 3D computer vision
“Robotics software engineer (10+ years ROS/ROS 2) currently leading the perception stack for Omron’s AMR fleet, including a scalable factory SLAM system that combines vision with laser SLAM to handle corridor aliasing. Strong in real-time embedded optimization on NVIDIA Jetson (CUDA + profiling) and fleet-scale validation via multi-robot Isaac Sim scenarios (USD-to-ROS 2 bridging, Nav2 in crowded scenes). Also contributed to a cloud-native reality-capture/3D reconstruction pipeline at Hilti using Docker and Kubernetes.”
Intern Software Engineer specializing in LLMs, RAG, and full-stack systems
“Built and productionized a multi-agent LLM analytics assistant at eBay that routes natural-language questions to retrieval or text-to-SQL, dynamically retrieves relevant schemas via a vector DB, and executes against a data warehouse. Drove a major quality lift (text-to-SQL accuracy 60%→85%) and materially reduced time engineers/PMs spent getting data insights through strong eval/monitoring, tracing, and reliability-focused design (schema retrieval, strict JSON outputs, retries/clarifications).”
Mid-level Software Engineer specializing in distributed data infrastructure
“Engineer who uses AI in a disciplined, practical way—leveraging it to speed debugging, generate edge-case tests, and improve coverage while retaining ownership of system design and production validation. Has experimented with chained AI tools but prefers simpler workflows when they reduce noise and review overhead.”
Mid-level AI Engineer specializing in LLM applications and enterprise automation
“Engineer with a notably mature AI-native development process: uses Claude/Claude Code in a test-first, iterative workflow and has led multi-agent builds across frontend, backend, and testing. Most notably, they led development of an AI voice agent platform, creating custom agent skills and enforcing clear architectural boundaries to deliver a stable, scalable system.”
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”
Senior Systems Integration Engineer specializing in ADAS and autonomous driving
“Solutions engineer at a Voice AI startup building and deploying voice agents for self-storage customers, owning the full lifecycle from cold outreach and demos through contract negotiation, FMS/API integration, and post-sales optimization. Also has Audi/Porsche experience demoing pre-production vehicles and autonomous driving features (L3 lane changes) to internal stakeholders and VW Group leadership, with a strong track record of tailoring technical narratives to varied audiences and improving conversion by adapting agents to regional dialects.”
Senior Gameplay/AI Engineer specializing in Unreal Engine game AI systems
“Senior Software Engineer with deep Game AI expertise (often the primary AI specialist on the team) who shipped a player-bot system in an Unreal-based battle royale to fill matchmaking gaps, reducing off-hours queue times and improving retention. Also owned complex multiplayer match-start/drop-sequence synchronization and has experience optimizing core gameplay systems (e.g., line-of-sight calculations) on Call of Duty at Infinity Ward.”
Junior Software Engineer specializing in identity and backend systems
“Sole engineer on a large-scale authentication migration moving 350+ tenants from password-based auth to OAuth 2.0 client credentials, delivering zero downtime, full adoption, and no support tickets. Also has early hands-on experience with agentic LLM proof-of-concepts and has built structured workflow tooling to reduce ambiguity in customer-to-engineering handoffs.”
Senior Unity VR/AR Developer specializing in XR platforms and immersive applications
“Unity/C# gameplay engineer with hands-on ownership of a full VR combat system at Bad Honey Bun Games, spanning movement, combat, health, audio, lighting, and branching level flow. Shipped a Meta Quest demo that reached 10k downloads in its first month while sustaining 72+ FPS, and also brings Photon PUN2 multiplayer experience from simulation work in the oil and gas sector.”
Director-level engineering leader specializing in identity, authentication, and AI security
“Engineering leader at Intuit focused on identity, authentication, and security infrastructure for AI integrations in highly sensitive financial workflows. Led a 10-person Tier 1 team, built an AgentIdentity framework across 3 organizations, and helped launch TurboTax/QBO integrations with ChatGPT and Claude while maintaining strict reliability and security standards.”
Senior Software Engineer specializing in Python backend systems on AWS
“Backend/data engineer from ASML who modernized a legacy SAS-based statistical processing system into a cloud-native AWS platform (Lambda/FastAPI, Step Functions/EventBridge, Glue, S3/RDS) with strong reliability and data-quality practices. Demonstrated measurable performance wins (RDS query reduced from 90+ seconds to <5 seconds) and hands-on incident ownership for production ETL pipelines.”
Director-level Engineering Manager specializing in platform engineering, CI/CD, and developer productivity
“Senior Engineering Manager with a player-coach style who stays technically engaged through heavy code reviews and pair programming. Led prioritization and stakeholder alignment for a scalable, resilient feature-flag evaluation service with strict sub-50ms latency goals, including a major caching-strategy redesign and incremental rollout approach. Experienced in incident response/retrospectives and in coaching engineers toward improved performance and promotions.”