Who We Are Bynd is redefining financial intelligence through advanced AI, transforming how leading investment banks, private equity firms, and equity researchers globally analyze and act upon critical information. Our founding team includes a Partner from Apollo ($750B AUM) and AI engineers from UIUC, IIT, and other top-tier institutions. Operating as both a research lab and a product company, we build cutting-edge retrieval systems and AI-driven workflow automation for knowledge-intensive financial tasks. Role Overview As our Founding Full-Stack Engineer, you will architect and develop scalable applications powering our AI-driven financial intelligence platform. You’ll directly influence strategic decisions, shape our engineering culture, and collaborate closely with the founding team and top financial domain experts. If the idea of directly interacting with senior leaders and customers at global financial institutions excites you, this is the perfect role for you. Responsibilities Build, scale, and maintain full-stack web applications to enterprise-grade standards. Architect systems designed for high concurrency, security, and reliability in financial services. Lead critical technical decisions involving infrastructure, deployment, and security practices. Regularly engage with customers and senior finance executives to deeply understand their needs and deliver impactful solutions. Establish robust engineering processes and mentor a growing technical team. Stay current with advancements in AI, web technologies, and enterprise security, ensuring Bynd remains at the forefront of innovation. Qualifications Must-haves: Bachelor’s or Master’s degree in Computer Science or a related field. 4+ years full-stack development experience, ideally at an early-stage product company. Expertise in React, Typescript, Python, and modern web frameworks. Experience with Azure/AWS, DevOps practices, and both SQL and NoSQL databases. Strong understanding of enterprise-grade security principles and practices. Preferred: Prior experience with AI/ML applications, especially LLMs and Retrieval-Augmented Generation (RAG) systems. Background in fintech or handling sensitive financial data. Proven ability to build products from scratch (0 to 1 experience). What We’re Looking For We need someone with exceptional autonomy, curiosity, and drive. You identify challenges and proactively solve them without constant direction. You’re deeply passionate about AI and software engineering trends and thrive in environments that require creative problem-solving and critical thinking. Your ability to clearly communicate complex technical concepts to senior business leaders and external clients sets you apart. What We Offer Significant equity stake as a founding engineer in a high-growth startup. Direct product influence with global financial institutions as your customers. Opportunity to work at the cutting edge of AI research and application. Collaborative, ambitious, and supportive team environment. If you’re ready to shape the future of financial intelligence, we'd love to connect. Show more Show less
Who We Are Bynd is redefining financial intelligence through advanced AI, transforming how leading investment banks, private equity firms, and equity researchers globally analyze and act upon critical information. Our founding team includes a Partner from Apollo ($750B AUM) and AI engineers from UIUC, IIT, and other top-tier institutions. Operating as both a research lab and a product company, we build cutting-edge retrieval systems and AI-driven workflow automation for knowledge-intensive financial tasks. Role Overview As an AI Intern at Bynd, you’ll work at the intersection of cutting-edge GenAI systems and rigorous classical ML evaluation methodologies. Your primary responsibility will be to build and refine evaluation pipelines for our existing AI-driven financial intelligence systems. You’ll collaborate closely with the founding team and top financial domain experts to ensure our models are not only powerful—but measurable, explainable, and reliable. If you’re excited by the idea of working hands-on with state-of-the-art LLMs, experimenting with RAG systems, and building frameworks that make AI outputs trustworthy and actionable, this role is made for you. Responsibilities • Design, implement, and iterate on evaluation pipelines for existing AI/ML systems, particularly GenAI-based and RAG-based architectures. • Develop test sets, metrics, and validation frameworks aligned with financial use cases. • Analyze model performance (both quantitative and qualitative) to uncover insights, gaps, and opportunities for improvement. • Work alongside full-stack and ML engineers to integrate evaluation systems into CI/CD workflows. • Assist in data collection, benchmark tasks, and A/B testing setups for LLM responses. • Stay up-to-date with academic and industry advancements in evaluation frameworks, prompt testing, and trustworthy AI. Preferred: • Prior hands-on experience with GenAI systems (e.g., OpenAI, Claude, Mistral, etc.), including prompt design and retrieval-augmented generation (RAG). • Solid understanding of classical ML concepts like training-validation splits, overfitting, data leakage, and cross-validation. • Familiarity with tools such as Weights & Biases, LangSmith, or custom logging/benchmarking suites. • Comfort with Python, evaluation libraries (e.g., sklearn, evaluate, bert-score, BLEU/ROUGE, etc.), and backend integration. • Experience working with unstructured financial data (PDFs, tables, earnings reports, etc.) is a massive plus. What We’re Looking For We’re looking for a fast learner with deep intellectual curiosity and strong fundamentals. You should be comfortable reasoning through ambiguity, rapidly testing hypotheses, and communicating technical decisions with clarity. You’re someone who thinks not just about building intelligent systems—but about how we measure intelligence meaningfully. This is an opportunity to work closely with a high-caliber founding team and ship impactful systems used by decision-makers at global financial institutions. If you’re passionate about building AI that works and works reliably, come build with us.
You will be joining Bynd, a company dedicated to redefining financial intelligence using advanced AI technology. Bynd is at the forefront of transforming how leading investment banks, private equity firms, and equity researchers globally analyze and act upon critical information. The founding team comprises a Partner from Apollo with $750B AUM and AI engineers from prestigious institutions such as UIUC and IIT. Operating as both a research lab and a product company, Bynd focuses on building cutting-edge retrieval systems and AI-driven workflow automation for knowledge-intensive financial tasks. As the Founding Full-Stack Engineer at Bynd, your primary responsibility will be to architect and develop scalable applications that power the AI-driven financial intelligence platform. You will play a pivotal role in influencing strategic decisions, shaping the engineering culture, and collaborating closely with the founding team and top financial domain experts. If the prospect of engaging directly with senior leaders and customers at global financial institutions excites you, then this role is an ideal fit for you. Your responsibilities will include building, scaling, and maintaining full-stack web applications to enterprise-grade standards, designing systems for high concurrency, security, and reliability in financial services, making critical technical decisions related to infrastructure, deployment, and security practices, engaging regularly with customers and senior finance executives to understand their needs deeply, establishing robust engineering processes, and mentoring a growing technical team. Additionally, you will stay updated with the latest advancements in AI, web technologies, and enterprise security to ensure that Bynd remains at the forefront of innovation. You must possess a Bachelor's or Master's degree in Computer Science or a related field, along with at least 4 years of full-stack development experience, preferably at an early-stage product company. Expertise in React, Typescript, Python, and modern web frameworks is essential, as well as experience with Azure/AWS, DevOps practices, and both SQL and NoSQL databases. A strong understanding of enterprise-grade security principles and practices is also required. Preferred qualifications include prior experience with AI/ML applications, especially LLMs and Retrieval-Augmented Generation (RAG) systems, a background in fintech or handling sensitive financial data, and a proven ability to build products from scratch. We are seeking an individual with exceptional autonomy, curiosity, and drive who can identify and proactively solve challenges without constant direction. You should be deeply passionate about AI and software engineering trends, excel in environments that demand creative problem-solving and critical thinking, and possess the ability to communicate complex technical concepts clearly to senior business leaders and external clients. In return, Bynd offers a significant equity stake as a founding engineer in a high-growth startup, the opportunity to have a direct influence on products used by global financial institutions, exposure to cutting-edge AI research and application, and a collaborative, ambitious, and supportive team environment. If you are ready to shape the future of financial intelligence, we would love to connect with you.,