Top Tech Jobs & Startup Jobs

Lead architecture and development of a cloud-based logistics SaaS platform. Design scalable front- and back-end services, RESTful APIs, testing and quality systems, performance optimization, and mentor engineers while collaborating with global product teams.

Lead developer relations and growth for a decentralized AI agents platform: create technical docs, tutorials, and code samples; represent the project at global events and hackathons; engage and support developers on Discord, Telegram, and GitHub; identify onboarding friction and collaborate with product to improve SDKs and developer experience; drive co-marketing and cross-protocol partnerships.

Develop and optimize Soroban smart contracts on the Stellar network for cross-border payments, integrate anchor services, test and debug contracts, collaborate with teams, document processes, and provide technical support while staying current on blockchain and payments developments.

Manage model registries, continuous training loops, and A/B testing infrastructure. Deploy agentic models as scalable microservices on Kubernetes and build observability dashboards to track token usage, latency, and agent reasoning paths. Maintain MLOps pipelines and ensure scalable, observable AI infrastructure.

Design and deliver user interfaces and frontend components from concept to implementation. Conduct user research and usability testing, create wireframes and interactive prototypes, collaborate with product and engineering, advocate user-centered design, and mentor junior designers while staying current with design tools and trends.

Operate and optimize large-scale LLM pre-training on 1,000+ GPU clusters using PyTorch, DeepSpeed, or Megatron-LM. Improve networking (InfiniBand/RDMA), memory management, checkpointing, and failure recovery. Manage SLURM/Kubernetes GPU clusters and apply systems engineering (C++, CUDA, Python) and 3D parallelism techniques.

Join a trading desk after intensive training to manage daily positions, execute strategies, monitor real-time risk, collaborate with developers/quants to refine models and automation, back-test ideas, and provide competitive pricing and execution in high-frequency crypto markets.

Lead global legal strategy for a crypto-native investment fund, designing fund structures, ensuring AML/KYC and securities compliance, managing deal documentation (SAFEs/SAFTs, token purchases), advising on DeFi-specific legal risks, coordinating with regulators and external counsel, and establishing legal protocols for treasury, token incentive schemes, and corporate governance.

Lead development of an AI-enabled Ethereum Layer 2 product: design front-end and back-end platforms, collaborate on data preprocessing and model training, deploy scalable AI models, build data pipelines, and integrate Web3/crypto product features while contributing to company projects.

Design and orchestrate large-scale LLM training across 1,000+ GPUs using PyTorch/DeepSpeed/Megatron-LM. Optimize networking (InfiniBand/RDMA) and memory, implement 3D parallelism, manage SLURM/Kubernetes GPU clusters, and automate checkpointing and failure recovery for month-long training runs. Require strong systems engineering with C++, CUDA, and Python.