Role Description We are seeking an experienced Quantitative Developer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline. - Six or more years of software engineering experience, with significant time in fintech. - Strong programming skills in C++, Java, or Python (preferably more than one). - Solid grounding in financial markets, instruments, and basic quantitative methods. - Hands-on experience building low-latency, high-throughput systems. - Experience with market data systems and FIX protocol implementations. - Strong understanding of risk and P&L attribution. - Experience with high-performance computing patterns and concurrency. - Excellent debugging, profiling, and performance-tuning skills. - Strong communication and documentation skills. Requirements - Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python. - Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations. - Build robust market data ingestion and normalization pipelines for high-volume tick data. - Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks. - Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants to make informed decisions under uncertain market conditions. - Profile and optimize critical-path code for latency and throughput, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Build comprehensive backtesting and simulation infrastructure that lets researchers evaluate strategies against historical data and synthetic scenarios with reproducible, audit-friendly results. - Collaborate closely with quants, traders, and risk officers to refine models and tooling. - Implement regulatory and compliance reporting workflows where applicable, ensuring outputs meet jurisdictional requirements, are auditable end-to-end, and can be reproduced reliably for retrospective analysis. - Ensure full observability of trading systems with appropriate logging, metrics, and audit trails. - Lead incident response for trading-critical issues with calm and rigor. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Mentor junior engineers and contribute to engineering culture in the team. Benefits - Competitive base salary commensurate with experience, plus benefits. - This is a 100% remote, full-time, direct W2 position. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap.

• Lead and scale the AI, ML, and LLM engineering teams, fostering innovation, technical excellence, and high performance • Define and execute the AI and advanced analytics roadmap, from ideation through production deployment • Drive the implementation of state-of-the-art technologies, including generative AI, automation, and intelligent systems • Partner with engineering, IT, and business leaders to embed AI-driven solutions into core engineering and operational processes • Lead organizational efficiency initiatives, including process optimization, automation, and productivity improvement programs • Identify opportunities to improve engineering efficiency, quality, and speed through technology and data-driven insights • Establish best practices for AI governance, scalability, security, and ethical use • Manage budgets, vendors, and technology partners related to AI and digital transformation • Mentor and develop technical leaders and teams, building a strong innovation culture

Role Description Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project (https://tendem.ai/) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI Pilot, you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic. Key Responsibilities - Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms. - Design and implement conversational flows, dialogue state, and fallback handling. - Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate. - Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources). - Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates). - Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling. - Implement logging, monitoring, and recovery so bots stay healthy in production. Qualifications - At least 3 years of relevant backend, integration, automation, or bot development experience (required). - Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus. - Strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. - Ability to design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services. - Strong problem-solving skills, attention to detail, and the ability to work independently are essential. Requirements - At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required. - Strong command of Python or Node.js for backend bot logic. - Solid experience with REST APIs, webhooks, OAuth, and async request handling. - Experience with relational or NoSQL databases for storing conversation state and user data. - Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus. - Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages). - Experience with hosting and deployment (Docker, serverless, VPS, or PaaS). - Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows. - Self-directed work ethic with the ability to design and ship complete bots independently. - Portfolio or examples of bots you've built (required). - English proficiency: Upper-intermediate (B2) or above (required). Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. Benefits - Work fully remote on your own schedule with just a laptop and stable internet connection. - Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field. - Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Role Description In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. - Contribute expert-level knowledge to bug fixing, feature implementation, codebase refactoring, and performance optimization across a range of programming languages. - Analyze and enhance software codebases to ensure clarity, maintainability, and efficiency. - Collaborate with multidisciplinary teams to provide feedback and insights for AI model improvement. - Develop robust solutions and document best practices to support scalable AI training workflows. - Evaluate existing system architecture and recommend technical strategies for optimal results. - Deliver clear, concise written and verbal communication regarding technical findings and project progress. - Support the continuous improvement of AI systems by providing real-world coding expertise in challenging scenarios. Qualifications - Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset. - Deep understanding of algorithms, data structures, and performance tuning. - Demonstrated experience in debugging complex software issues and delivering maintainable solutions. - Strong background in feature development and codebase refactoring. - Proven ability to optimize software for performance and scalability. - Exceptional written and verbal communication skills, with a keen attention to detail. - Track record of success in collaborative, cross-functional teams, ideally in remote settings. Requirements - Previous experience working on large-scale, distributed codebases. - Familiarity with modern AI or machine learning systems is a plus, though not required. - Background in participating in rigorous code reviews and contributing to the development of software best practices. Benefits - This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.