Location: Remote Work Style: Remote-first, Global Collaboration About Taiyō.AI Taiyō.AI is a global vertical AI company built for the infrastructure, construction, and real-assets ecosystem. Our platform helps governments, developers, EPCs, suppliers, and investors see projects, risks, and opportunities with unprecedented clarity. We combine procurement and project data, geospatial intelligence, market forecasts, and advanced AI workflows to support business development, risk management, and execution across the full project lifecycle. We work with Fortune 500 firms, global contractors, investors, and public agencies across the U.S., Europe, India, the Middle East, and Africa. Our team operates with speed, curiosity, and deep commitment to changing how the world builds. Role Overview We are seeking an Account Executive / Sales Lead to drive enterprise sales, build lasting client relationships, and expand Taiyō’s footprint across key markets. This role requires a structured, proactive communicator who owns every stage of the sales process—from first outreach to onboarding, expansion, and long-term account development. The ideal candidate brings strong enterprise sales experience, exceptional communication and follow-through habits, and the ability to work in fast-moving global environments. Domain knowledge in infrastructure, construction, real assets, or capital projects is a plus, but not required. Key Responsibilities Enterprise Sales & Growth Drive full-cycle enterprise sales: sourcing, outreach, discovery, product positioning, negotiation, and close. Identify new opportunities within key accounts and expand relationships across business units, regions, and senior leadership. Develop territory plans and account-based strategies tailored to sector and geography priorities. Client Engagement & Relationship Management Build deep, trusted relationships with executives, project directors, strategy teams, and technology buyers. Lead product walkthroughs, capability workshops, and problem-solving sessions with clients. Serve as a strategic partner to client teams; understand their workflows and advise on how Taiyō.AI can support business development, planning, and risk management. Process, Systems, and Structure Maintain rigorous pipeline hygiene and follow-up discipline using CRM tools (HubSpot experience strongly preferred). Develop repeatable approaches for outreach, messaging, meeting structures, business reviews, and customer engagement. Track performance metrics (leads, conversion rates, deal velocity) and refine playbooks. Cross-Functional Coordination Work closely with Product, Data, and Customer Success teams to ensure seamless onboarding and value realization. Provide structured feedback and insights to help shape product roadmap and market positioning. Represent Taiyō.AI at industry events, conferences, and client workshops (virtual and in-person). Qualifications Required 4+ years experience in B2B SaaS or Enterprise Software Sales. Proven success managing complex sales cycles and closing deals with large organizations. Ability to communicate clearly, confidently, and empathetically with senior stakeholders. Strong organizational discipline — meticulous with follow-up, CRM tracking, and documentation. Comfortable working across global time zones and collaborating with international teams. Analytical mindset: able to understand workflows, quantify value, and articulate ROI. Preferred Exposure to infrastructure, construction, real assets, engineering, capital projects, government procurement, or supply chain. Experience engaging with consulting firms, investors, EPCs, or public agencies. Familiarity working in American business culture and/or global corporate environments. What We Value Curiosity and willingness to learn domain knowledge fast. High trust, integrity, and ownership. Determination — you follow through until the job is done. Ability to operate with clarity in high-growth, evolving environments. Commitment to excellence in communication and client experience. Growth & Opportunity Work directly with founders and senior leadership. Grow into managing strategic accounts, regional pipelines, or vertical-market segments. Opportunity to build the GTM foundation of a fast-scaling vertical AI company. Compensation Competitive base salary + performance-based incentives. Potential equity participation based on experience and fit. Global, remote-friendly work environment with travel opportunities.
Location: Remote – Global Experience: 2–4 Years Company: Taiyō.AI — Cognitive Infrastructure for the World’s Largest Industry About Taiyō.AI Taiyō.AI is the first vertical AI platform purpose-built for the global infrastructure ecosystem—construction firms, engineering companies, suppliers, insurers, investors, and governments shaping the built environment. We integrate project & procurement data, geospatial layers, supply networks, operational records, market intelligence, and technical documentation into an intelligent cognitive layer that allows organizations to see projects, risks, and opportunities with unprecedented clarity. Our platform includes: Enterprise knowledge graph and data mesh spanning millions of infrastructure records globally Generative AI agents for strategic insights, risk discovery, and project planning Custom LLM fine-tuning and evaluation for real-world enterprise workflows Multimodal interfaces supporting geospatial, document, chat, and structured data workflows We are a global team operating at the intersection of AI systems, economics, infrastructure delivery, and organizational decision-making. Role Overview We are hiring a Generative AI Lead to architect, train, fine-tune, evaluate, and deploy models that power Taiyō’s core intelligence layer. This person will work hands-on—experimenting with modern model architectures, embeddings, vector retrieval, knowledge graphs, RAG pipelines, evaluation frameworks, agentic planning systems, and emerging multimodal models. This is a foundational role. You will shape the technical direction of our AI stack and help move the industry from intuition and legacy data systems to measurable cognitive intelligence. Key Responsibilities Modeling & Systems Engineering Lead design and implementation of custom fine-tuning, RAG pipelines, embeddings, vector stores, and model evaluation frameworks. Build and optimize knowledge graph + generative retrieval pipelines that operate across highly heterogeneous data modalities. Evaluate trade-offs between open-weight models (LLaMA, Mistral, Qwen, etc.) and frontier API-based models. Develop scalable inference and caching strategies (vLLM, GGUF, quantization, distributed inference). Multimodal & Dataset Engineering Work across text, tabular, geospatial, PDF/document, and image/plan drawing modalities. Construct large-scale curated datasets for supervised fine-tuning, preference tuning, and reward modeling. Design automatic data labeling, embedding clustering, and synthetic data generation pipelines. Evaluation & Reliability Develop quantitative evaluation benchmarks for reasoning quality, hallucination resistance, retrieval accuracy, and domain precision. Support “reliability engineering” approaches for production AI — fallback logic, uncertainty scoring, confidence calibration. Cross-Functional Collaboration Work closely with product, customer success, and domain experts (infrastructure, economics, construction planning). Translate complex workflows into agentic task orchestration systems that deliver real business outcomes. Qualifications Required Strong programming background (Python, PyTorch, JAX or TensorFlow). Deep familiarity with LLM fine-tuning, embeddings, RAG, vector databases, and LLMOps workflows. Strong understanding of machine learning theory: probability, optimization, statistical learning, and empirical evaluation. Experience shipping production ML systems (not only research prototypes). Preferred Experience with geospatial data, document intelligence, or enterprise knowledge systems. Familiarity with distributed systems, GPUs, training pipelines, and memory optimization. Experience in infrastructure, engineering, supply chain, or real-asset domains (not required, but valuable methodologically). Nice to Have Knowledge of agent-based planning, reasoning models, chain-of-thought alignment, RLHF, DPO, or model distillation. Experience working with American and/or global enterprise customer expectations. What We Value Depth + clarity of thought Intellectual honesty and precision Ability to move from research → prototype → production Curiosity about how society builds, finances, and maintains infrastructure Comfort in ambiguity; bias toward outcome and simplicity Growth & Opportunity Lead and scale the AI team as we expand. Shape a new class of cognitive systems for real-world industries. Work directly with founders, researchers, and global industry leaders. Influence product strategy, research direction, and system architecture at a foundational level. Compensation Competitive salary based on experience Meaningful equity participation Remote-friendly with periodic global travel opportunities (US / EU / India / Middle East)
🚀 We’re Hiring: Lead Frontend Developer | Taiyo.AI 🌏 About Taiyo.AI At Taiyo.AI , we empower the people who build the world. We’re the world’s first Infrastructure Intelligence Platform , building the largest universal database of opportunities (tenders, projects, news) and threats (economy, climate, geopolitics, finance, logistics, and more) for real assets. Our platform helps infrastructure companies — investors, EPCs, insurers, and developers — benchmark new projects, predict risks, and stay ahead of disruptions through data and AI. We’re shaping how the world’s biggest infrastructure decisions are made — and we want you to be part of it. 💡 About the Role: Lead Frontend Developer We’re looking for a qualified, creative, and data-driven frontend developer who can turn ideas into interactive, elegant, and high-performing web experiences. You’ll work closely with backend developers, designers, and data teams to create dashboards and web apps that power decision-making for the world’s most ambitious infrastructure projects. 🔧 What You’ll Do Maintain and continuously improve our web applications Create intuitive dashboards and interfaces based on business needs Optimize applications for speed, usability, and scalability Collaborate with backend and design teams to refine UX/UI Build quality mockups and prototypes Ensure brand consistency and high-quality design standards Stay ahead of emerging web technologies Write clear documentation and guides 🎯 What You’ll Bring Graduate/Postgraduate degree in Computer Science or Engineering 1–3 years of hands-on experience with React, TypeScript, JavaScript, and CSS Experience with markup languages and UI design tools (like Figma) Strong grasp of web architecture and design principles Analytical mindset, attention to detail, and a passion for learning Excellent communication and teamwork skills Ownership mindset — you get things done 🌟 Our Values 💬 We encourage honesty and open dialogue 🤝 We respect every person and point of view 🚀 We’re audacious in vision and action 📊 We make objective, data-driven decisions 🧠 We invest in each other’s growth 🏆 We take charge and deliver 🎁 The Perks Highly competitive compensation Remote-first flexibility 🔥 Join Us If you’re ready to build products that shape how infrastructure decisions are made worldwide — Taiyo.AI is where you belong.
Position Type: Contract to Hire (C2H) Experience: 5+ Years Location: Remote Project Duration: 3 Months Working Hours: 8 Hours/Day Role Overview Role Overview: We are seeking a Python Service Implementation Engineer with strong backend and system design expertise to build and maintain high-performance, scalable services and APIs. Key Responsibilities: Design and implement production-grade Python services. Build modular, scalable, and high-performance APIs. Own the complete API lifecycle from design to deployment. Apply Test Driven Development (TDD) practices. Design database schemas and data models. Document designs and communicate technical decisions clearly. Must-Have Skills: 5+ years of hands-on Python development Strong understanding of system design principles Experience in API design and lifecycle management Hands-on experience with TDD Strong fundamentals in database schema design and data modeling Excellent technical communication skills
Position Type: Contract to Hire (C2H) Experience: 9+ Years Location: Remote Project Duration: 3 Months Working Hours: 8 Hours/Day Role Overview: We are looking for highly experienced Python & Machine Learning Engineers to work on advanced ML, NLP, and LLM-based systems, contributing to model development, optimization, and production deployment. Key Responsibilities: Design and implement machine learning and deep learning solutions. Work on NLP, Transformers, and Large Language Models. Build, fine-tune, and deploy models in production environments. Collaborate with cross-functional teams on AI-driven projects. Ensure scalability and performance of ML systems. Must-Have Skills: 9+ years of strong experience in Machine Learning and NLP Hands-on experience with Transformers and LLMs Proficiency in Python for ML Experience with ML frameworks: PyTorch, TensorFlow, Hugging Face, DeepSpeed Hands-on experience with Docker for production deployment
Company Description Taiyō.AI is the world’s first infrastructure intelligence platform, dedicated to revolutionizing global infrastructure planning and development. By delivering advanced data, intelligence, and tools, Taiyō.AI empowers stakeholders to make informed decisions during early-stage planning. Our mission is to drive efficiency and enhance outcomes across the infrastructure industry, helping transform how the world plans and builds. Role Description This is a full-time remote position for a Generative AI Engineer. The Generative AI Engineer will focus on researching and developing state-of-the-art AI models to drive innovation in infrastructure intelligence. Responsibilities include coding and training generative frameworks, optimizing machine learning algorithms, collaborating with cross-functional teams, and deploying AI solutions to improve platform capabilities and user outcomes. The role also involves identifying opportunities to enhance system performance and integrating AI advancements into scalable technologies. Qualifications Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks, and hands-on experience implementing machine learning models. Proficiency in Generative AI techniques, natural language processing (NLP), and deep learning model architectures such as world models, knowledge graphs, neurosymbolic reasoning, GANs, transformers, or diffusion models. Background in data preprocessing, statistical analysis, and handling large datasets with tools like NumPy, Pandas, or SQL. Experience in cloud computing platforms (e.g., AWS, Azure, or Google Cloud) and deploying AI models in production environments. Strong problem-solving skills, ability to work collaboratively in cross-disciplinary teams, and excellent communication skills in technical and non-technical discussions. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred; significant work experience may be considered in lieu. Experience in infrastructure, urban planning, or related technical fields is a plus.
Experience: 8–15 Years Location: Remote Employment Type: Full Time | Work From Home Role Description We are seeking experienced Data Engineers with strong expertise in PySpark and Azure to design, build, and maintain scalable data platforms. The role involves end-to-end ownership of data pipelines, governance, and analytics enablement in a large-scale, production-grade environment. Key Responsibilities Design and implement data pipelines to collect, clean, and transform data from multiple sources Build and maintain data storage and processing systems including databases, data warehouses, and data lakes Ensure data security, compliance, and governance standards are met Develop and implement data governance policies and procedures Collaborate with business analysts, data analysts, data scientists, and stakeholders to deliver data solutions Work with Big Data Solution Architects to design, prototype, and optimize data ingestion pipelines Ensure solutions are production-ready with respect to operational, security, and compliance standards Participate in Agile ceremonies and provide technical support for issue resolution Communicate clearly with business stakeholders on progress, risks, and blockers Maintain documentation and share knowledge across teams Required Skills & Experience 8+ years of experience in data engineering and big data solution development Strong hands-on experience with Azure (mandatory) Proficiency in PySpark, Python, and SQL Experience working with Databricks Experience with Azure DevOps and CI/CD pipelines Experience with unit and integration testing for data pipelines Strong experience querying and manipulating data from relational and big data systems Experience using code quality tools and static analysis Exposure to Power BI or other data visualization tools Experience working on high-traffic, large-scale software products Good to have Experience with other cloud platforms such as AWS or GCP Strong leadership, communication, and problem-solving skills Qualifications Graduate in Engineering or equivalent