Location
San Francisco
4
Texas
2
New York
1
Germany
1
Language / Stack
TypeScript
3
Python
3
JavaScript
2
nodejs
1
react
1
Rust
1
Domain Expertise
domain-specific
8
role-archetype
1
platform-specific
1
Search Queries (100)
| Query | |
|---|---|
| @rapidsai | 4 |
| repo:https://github.com/rapidsai/cudf | 3 |
| @kevingil | 3 |
| @AlecDusheck | 3 |
| repo:https://github.com/harbor-framework/terminal-bench | 2 |
| @aj47 | 2 |
| engineers at Stripe, ranked by most cracked | 2 |
| @Yoshie2000 | 2 |
| minecraft | 2 |
| repo:https://github.com/vllm-project/vllm | 2 |
| @BinaryMuse | 2 |
| @tjreyner | 2 |
| https://github.com/rapidsai/cudf | 2 |
| @chenxin-yan | 2 |
| @jan-stehlik | 2 |
| cracked vue devs in nigeria | 2 |
| @CameronWhiteside | 2 |
| product engineer with 2-4 years of experience in San Francisco, react, typescript, python, postgres, AI and LLm pipelines | 2 |
| Source exceptional US-based ex-Founding ML Engineers or early AI hires (4–10 years experience) who transitioned from FAANG or other top-tier tech companies into early-stage AI labs or startups and have built 0→1 AI/ML products in production. Prioritize candidates with deep hands-on expertise across the full ML stack including LLMs, transformers, RAG systems, fine-tuning, distributed training, inference optimization, RLHF, evaluation frameworks, model serving, and scalable ML infrastructure. Focus on engineers who owned core ML architecture, shipped production systems end-to-end, and drove measurable improvements in latency, cost optimization, scalability, model quality, or product adoption. Target candidates currently working or previously employed at elite US-based AI labs or AI-native companies, or other high-performing VC-backed AI startups. exclude such as OpenAI, Anthropic, Google DeepMind, Cohere, Hugging Face, Perplexity AI, Scale AI. Strong preference for candidates with meaningful open-source contributions on GitHub (core maintainers, high-impact contributors, or technically impressive personal ML projects). Candidates should hold degrees in CS/AI/ML from top US CS universities or IITs. Exclude candidates already sourced, reviewed, contacted, sequenced, or surfaced in previous searches or outreach campaigns. | 1 |
| search github for an engineer that works on many ai agent projects that are very advanced and perhaps even have some projects related to content and marketing | 1 |
| engineers or developers working on high performance systems, low level languages like C++, Golang or Rust and also experience with large scale storage systems (petabyte or exabyte scale). Working on kernel bypasses, runtime, parallel programming, multithreading in the united kingdom or switzerland | 1 |
| Looking for web analysts with website backend coding experience. | 1 |
| based in Wisconsin Drive the transition to a resilient, always-on microservices architecture on RedHat OpenShift. Provide technical guidance to a team of Software Engineers, ensuring project support and strong performance. Build and secure scalable cloud-native applications using Java and Spring Boot. Enhance system observability and monitoring across thousands of microservices with tools like DynaTrace, Grafana and Elastic Stack. Streamline deployments with a GitOps powered CI/CD pipeline built on Tekton and Argo CD. Minimum Requirements Bachelor’s degree in information technology, computer science or related field. 10+ years of Java development and SQL experience. 5+ years of Microservices development with Java Spring framework. 2+ years deploying and managing Java microservices on Kubernetes platforms such as RedHat OpenShift. | 1 |
| Full Stack Software Engineer 👋 Welcome! Make your way through this job description and see if we match. If you think we do, you'll find a form at the bottom of the page. About Us We are a funded 🇧🇪 Belgian startup helping sports clubs (football, tennis, …) with their operational burden. We solve this with an AI-native SaaS where clubs manage contracts, track rights & deliveries, run their hospitality, and give sponsors a professional experience. Everything commercial, simplified. 🚀 In a nutshell; we're building the operating system for commercial teams in sport. We're recently funded and ready to dominate the sponsorship market in 2026. Our Values ⚡ We build and ship at lightning speed As a startup should. Speed is everything. 🏋️ Potential over experience AI will change how we work faster than we expect. We don't care about specific experience, we care about attitude and grit. 🥅 Work hard, play hard Cringe, but it's true. We expect commitment and effort. In return you get a job you want to go to and a team that you want to work with. 🤖 Navigate the AI future We leverage AI as much as possible, and use it to its full potential, adapting ourselves alongside it. Your Role We are looking for a Full Stack Software Engineer who will work in a small team right along the founding engineer. Day-to-day you would work across our entire stack: research, design, frontend, backend. Our SaaS is a simple multitenant platform built on top of the latest technologies. But technology is only a means, so we use whatever does the job best. Tech Stack Languages TypeScript, React.js Frameworks & Platforms Next.js, React, Vercel, Supabase, Tailwind Cloud (AWS) DynamoDB, S3, Glue, Bedrock, … AI Tools Claude (Code, Sonnet), Cursor, Gemini, … Requirements You want to work at a startup. You have taste; you know which software looks good and which doesn't. You are comfortable working the full web stack: frontend + backend. You can tackle any web technology. You are eager to learn. You are highly motivated, you want to solve problems. You are proficient in English and Dutch. Working experience at a (SaaS) startup is a plus. Perks Our journey taught us a lot. If you're committed, you will naturally learn all the same things. Lots of early startup employees end up starting their own business. We have very experienced advisors around us, entrepreneurs who have achieved a lot already. You can learn from them as well. Next to your salary, we have an ESOP. Core employees that want to grow with us will have the opportunity to gain stock options in the company. Think we match? Apply below and introduce yourself. We read every application. Apply now → Receive a word of Coach Vic in your inbox each month! Your e-mail Subscribe Follow us on LinkedIn By submitting, you agree with our Privacy policy Pages | 1 |
| Engineer in india how is cracked or have is just 20 and best | 1 |
| engineers in addis ababa ethiopia | 1 |
| @haroldss | 1 |
| @akh | 1 |
| @vtempest | 1 |
| Traditional Robotics Pipelines that do state estimation, extract point clouds and depth estimation, then do grasp estimation and then motion planning to get to that pose. Also worked on VLAs and or World Models for robot actions and policies and specifically deploying them to production | 1 |
| @RonaldJerez | 1 |
| Best Python coders at Baseten | 1 |
| @NadiaIdris | 1 |
| Software developers that built tax software and AI. | 1 |
| @arturbien | 1 |
| @robert-mcdermott | 1 |
| engineer who build job portal | 1 |
| Data center software infrastructure engineers. Look for ones who particularly have experience with big data, scaling, data centers, building all. Building the job scheduling systems. | 1 |
| @valgaze | 1 |
| junior level ai researchers in san francisco | 1 |
| We are looking for an engineer with experience in low-level systems programming and optimization to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Your part here is optimizing the performance of our models – both training and inference. We care about efficient large-scale training, low-latency inference in real time systems, and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level – is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long? If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills, but here are some of the things we’re looking for: • An understanding of modern ML techniques and toolsets • The experience and systems knowledge required to debug a training run’s performance end to end • Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy • Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute • Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS • Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads • Background in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters • An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools | 1 |
| engineer or developer working on inference optimization, and inference frameworks like vLLM, tensorRT, ONNX united states | 1 |
| @PuchToTalk | 1 |
| engineers in python, backend, based in new york city, investments, fin tech, trading | 1 |
| top frontend devs mauritius | 1 |
| a san francisco fullstack engineer with python, react, and three.js and founder or early startup experience. | 1 |
| @brian-arnold | 1 |
| @mitchthebaker | 1 |
| @rynbrd | 1 |
| We’re looking for an AI enthusiast to manage model launches and provider onboarding. You’ll help bring new models to market and improve the onboarding process for new providers. This is an ideal role if you love tinkering with AI models, want to develop technical depth, and want to work directly with all of the model labs and providers in the AI ecosystem. Key Responsibilities 1. Model Launches & Provider Partnerships (~60%) Run end-to-end launch playbooks: scoping, test plans, latency/quality checks, pricing & quotas, docs, and announcement assets. Coordinate with model providers to integrate, QA, and hit ship dates. Maintain clear versioning and release notes; manage deprecations and migrations. 2. Tooling for benchmarks, onboarding and internal operations (~40%) Build internal tools to help speed up the model onboarding process. Build internal evals to evaluate models and endpoints quickly. Document internal processes and prime them for automation. About You Experience: 2-3 years in a startup, solutions engineering, product ops, or similar. Technical Skills: Comfortable building demos and scripts; can read API docs and troubleshoot with logs/cURL/Postman. Experience with TypeScript/JavaScript and/or Python. Git-literate. Bonus: familiarity with LangChain/LlamaIndex, benchmarking/evals, or basic cloud/observability. Mindset: Ambitious owner, fast learner, bias to ship. Passionate about AI and developer experience. Education: CS/Engineering degree is a plus, not required with demonstrated technical aptitude. | 1 |
| @sorenjmadsen | 1 |
| agentic ai ml engineers building sales pipeline | 1 |
| @yossiyossi | 1 |
| Silas Rhyneer | 1 |
| https://github.com/sgl-project/sglang | 1 |
| Cracked flutter developers kenya. | 1 |
| @yevbar | 1 |
| Kevin Gil | 1 |
| @fhs | 1 |
| cracked AI engineer | 1 |
| repo:https://github.com/google/adk-python | 1 |
| in morocco | 1 |
| @Joseph-Carter | 1 |
| @gmac | 1 |
| Search me the engineers that built Monesize Core | 1 |
| @ryankim0709 | 1 |
| @nalkpas | 1 |
| @ptrlrd | 1 |
| @velascode64 | 1 |
| @hdresearch | 1 |
| @legitmaxwu | 1 |
| Find me a full stack engineer that's interested in being a founder member of a startup | 1 |
| AI Agents | 1 |
| @shamsharoon | 1 |
| @johnny603 | 1 |
| top 10 react typescript devs nigeria | 1 |
| @manavsehgal | 1 |
| I am looking for full stack developers under 25 who have commited also a lot before 2022 in Munich. | 1 |
| java developer , location: bangalore , repository:10 , star: 4 | 1 |
| engineers, with typescript, node.js, defi, decentralized finance, indexers | 1 |
| @jordantplows | 1 |
| devs who work on minecraft | 1 |
| @leogulus | 1 |
| @ZeroX-DG | 1 |
| technical artist with experience in GenAI video tools | 1 |
| fulls stack developer based in SF building in agentic ai for sales pipepline integration | 1 |
| lock-free queue memory allocator C++ zero copy networking kernel bypass DPDK RDMA | 1 |
| Engineer who built recommendation system and psychological profiling | 1 |
| RLHF Engineer | 1 |
| Software Engineer in the US building with openclaw | 1 |
| The San Francisco based Frontend Software Engineer owns the full Aria Cluster Software frontend, including real-time network observability dashboards, operator workflows, and agentic AI interfaces for data center networking infrastructure at GPU-cluster scale. The scope also includes defining and building the APIs and frontend infrastructure that serve our client applications across CLI, web, agents and more. The role leans full stack with an emphasis on frontend. We're looking for a product builder who happens to be exceptional at frontend. You should be comfortable defining and building frontend architectures and streaming patterns for high-throughput telemetry systems. Responsibilities Build and maintain the full set of client surfaces operators use including web, CLI, agents and more. Own the frontend API layer and infrastructure that powers all client surfaces. Own the end-to-end frontend stack: component library, state management, data fetching, and rendering performance. Design and implement UI-layer streaming data pipelines handling high-frequency metric updates performantly. Architect and implement real-time network observability dashboards surfacing telemetry, performance metrics, and cluster health at 100,000+ GPU scale. Lead initiatives and partner with backend teams to deliver on product requirements. Co-design and consume REST and streaming APIs supporting real-time infrastructure monitoring and dashboards. Establish and enforce frontend engineering standards: TypeScript conventions, automated testing practices, and rendering performance benchmarks. Provision and manage resources in platforms like Cloudflare, Vercel, AWS. Qualifications Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Computer Engineering, or a closely related technical field is required. Minimum 5 years of production frontend engineering experience is required. Expert-level proficiency in TypeScript and React, including large-scale application architecture, is required. Demonstrated experience building data-dense dashboards for network, infrastructure, or observability products is required. Proven command of async data patterns, WebSocket or SSE handling, and real-time state management at production scale is required. Demonstrated ability to own a product surface end-to-end, from architecture through production deployment, is required. Track record of collaborating with backend engineering teams to define and consume APIs is required. Experience integrating LLM or agent APIs into production user interfaces. Prior work on control plane interfaces or operator dashboards for distributed systems. Familiarity with network telemetry concepts including SNMP, OpenTelemetry, or streaming metrics pipelines. | 1 |
| @Allan-Kipkemei | 1 |
| https://github.com/rails/rails | 1 |
| @sutharjay1 | 1 |
| @AmruthaKollu | 1 |
| Search for Ruby on Rails engineers on github who have built customer-facing greenfield products, especially AI-native ones | 1 |
| @girliemac | 1 |
| @kicarussays | 1 |
| Role Overview As an AI/ML Engineer, you'll work hands-on to implement, optimize, and scale machine learning models that are used in production. Your focus will be on applying proven techniques to solve practical problems, ensuring our AI systems are efficient, reliable, and maintainable. You’ll be working alongside other engineers to deliver solutions that are not only innovative but also ready for large-scale, real-world deployment. Responsibilities Develop, deploy, and optimize AI solutions for real-world applications. Curate large datasets for AI workloads Collaborate with engineers to integrate, monitor, and maintain AI workloads in production. Ensure AI systems align with business goals and document processes for transparency. Skills & Qualifications Strong experience in Systems for AI/ML, from model development to system optimizations. Proficiency in Python, with familiarity within TypeScript or Go for integration. Expertise in ML frameworks (PyTorch, VLLM, Llama-factory, Transformers, Megatron-LM, CUDA), cloud platforms (AWS, GCP, Azure), and containerization (Docker, Kubernetes). Strong problem-solving, collaboration, and communication skills for cross-functional teamwork. Bonus Points Experience in AI/ML for enterprise applications or deploying models at scale. Familiarity with DevOps practices and automated deployment pipelines. Experience working in fast-paced, startup environments. | 1 |
| engineer who built strong golang projects and builds infra | 1 |