🌍TrueNorth 我们的产品已推出概念验证（ PoC ）并获得了高度积极的反馈，同时我们得到了顶级 Web3 风险投资机构的支持。发展方向明确，资金充足，且团队正以快速节奏推进。 我们已经组建了一支由 15 人组成的精英团队，成员来自阿里巴巴、麦肯锡、Temasek 、普华永道等知名企业。 产品执行力强，团队文化务实且注重落地。 现在，我们诚邀全职工程师加入，作为核心贡献者共同参与从 0 到 1 的搭建： 🧠 我们提供的福利： 具有竞争力的基本工资 顶级投资机构的支持 一个以使命为导向、专注执行的团队 🧭硬件要求：国内 985211 本科 以上学历，或海外 top 学校毕业，技术、AI 相关专业。 有成功的项目工作经验，互联网大厂或金融行业从业经验。 👇 Open Roles: Senior Full-Stack Engineer - Data Infra / Backend Ownership（岗位薪资35-50k） We are looking for a senior full-stack engineer to lead the design and development of our data infrastructure and core backend systems. This role is foundational to our AI agent platform and directly impacts data scalability and product capability. Responsibilities: Build and own core data infrastructure: API gateways, task queues, pipelines, and async services Design and implement scalable backend systems to process large-scale crypto and web data Collaborate with AI and frontend teams to enable analytics, signal extraction, and data APIs Requirements: 5+ years in backend/full-stack roles (Node.js / Go / Python), with experience designing systems end-to-end Strong database and infra fundamentals: PostgreSQL, Redis, Pub/Sub, container orchestration Hands-on experience with ETL or event-driven pipelines is a big plus Bonus: interest or experience in crypto, real-time data, or agent-based systems Senior Full-Stack Engineer - Technical Force Multiplier（岗位薪资35-50k） We're hiring a senior engineer to work closely with our Chief Architect and help scale our development capabilities. This role is ideal for someone who thrives in early-stage velocity and enjoys building versatile tools across the stack. Responsibilities: Work closely with our chief architect to extend and refine core systems Help accelerate new product verticals: build interfaces, APIs, microservices, dashboards Act as a generalist who can contribute across frontend (React), backend, and infra Requirements: 5+ years in full-stack or backend-heavy roles, strong in software design and testing discipline Proficiency in TypeScript / Node.js / React or similar stack Comfortable navigating fast-paced MVP iterations and codebase refactors Bonus: Experience building internal tooling, observability, developer experience platforms Senior Data Engineer - Scraping & Pipelines（岗位薪资35-50k） We are seeking a senior data engineer to own data acquisition and processing. You'll be responsible for building high-quality pipelines to fuel our AI agent system with reliable, fresh, and structured information. Responsibilities: Build and maintain web crawlers, API connectors, and data ingestion services Clean and normalize data from unstructured sources (HTML, JSON, WebSocket feeds) Design robust pipelines for enrichment, deduplication, and time-series storage Collaborate with AI and backend teams on unified schema and format delivery Monitor data quality, latency, and failure points proactively Requirements: 4+ years in data engineering or backend crawling work Strong in Python, SQL, Airflow, and task orchestration Proficient with Python and scraping libraries (Scrapy, Playwright, etc.) Familiar with proxy rotation, CAPTCHA solving, anti-bot evasion Bonus: experience with crypto APIs (DEXes, price feeds, Twitter, Telegram) Senior Staff AI Engineer - Agentic System Architecture & Infra（岗位薪资35-50k） We're looking for a Staff-level AI Engineer to lead technical innovation in agent infrastructure and AI platform development. This role is key to building a next-gen LLM-native application layer. Responsibilities: Design and implement a production-grade multi-agent orchestration system for crypto intelligence Architect modular, composable agents (e.g. retriever, planner, executor, memory, tools) Collaborate across backend, infra, and data teams to ensure system scalability, testability, and observability Write robust code with clear abstraction, error handling, and performance tracing Balance rapid experimentation with long-term maintainability Requirements: 6+ years of engineering experience, with 2+ years in LLM / agent systems Deep understanding of LangChain, LlamaIndex, or similar frameworks - or has built internal equivalents Strong software engineering foundation: API design, async workflows, state machines, logging/monitoring Deployed agent systems at scale, with experience in latency control, fallback routing, error isolation Bonus: Knowledge of planning algorithms, agentic UX, or multi-agent coordination patterns Senior Staff AI Engineer - Fine-Tuning, ML Systems, Model Deployment（岗位薪资35-60k） We are looking for an experienced AI engineer with a strong background in model fine-tuning and applying traditional ML to agentic use cases. This person will define our approach to personalization, relevance, and adaptive intelligence. Responsibilities: Lead LLM customization efforts (e.g., SFT, DPO, reward models, evaluator models) Design and own full ML pipelines: data -> model -> evaluation -> serving Collaborate with infra to productionize models via APIs, caching, batching, and monitoring Drive evaluation strategy (offline/online), prompt testing, and model A/B experiments Support traditional ML modules (e.g., classification, ranking, retrieval) as part of hybrid systems Requirements: 6+ years in AI/ML engineering, with production experience in both LLMs and traditional ML Hands-on with PyTorch, TRL, LoRA, HuggingFace, Weights & Biases Strong in ML system design: reproducibility, CI/CD for models, monitoring and rollback strategy Experience deploying models behind API gateways with low latency and fault tolerance Familiar with RAG pipelines, prompt tuning, or crypto/NLP task design