Founding - Junior AI Engineer

Welcome to TRADL, India’s AI Trading Quant Intelligence layer. We are building the foundational technology to revolutionize retail and professional trading across the Indian financial markets (NSE/BSE). Our mission is to empower Indian traders and investors with hedge fund-grade AI systems that seamlessly integrate natural language processing, advanced autonomous agents, and deep intelligence derived from over a decade of market data. Joining TRADL means building frontier AI that transforms manual research and execution into intelligent, automated, and precision-driven systems. We are an elite, innovation-driven team committed to shaping the future of India's quant trading landscape. : We are hiring our first, highly selective batch of Founding - Junior AI Engineers. This role offers a unique opportunity to work directly with the founders and own core engineering problems from day one. You will be instrumental in deploying the first generation of AI products that will democratize institutional-grade trading intelligence for the Indian market. : ’ • Autonomous Agent Systems: Architect, develop, and deploy highly scalable multi-agent Large Language Model (LLM) systems designed for next-generation quantitative market analysis and trading strategies. • AI Design & Optimization: Design complex reasoning flows, robust memory pipelines, and reinforcement learning loops to create adaptive and self-improving AI agents. • System Integration: Integrate developed models with real-time market data streams, sophisticated retrieval systems (RAG), and secure trading execution APIs. • Performance Engineering: Optimize the inference and orchestration layers of the AI pipeline to ensure high performance, reliability, and low-latency execution critical for trading applications. • Technical Leadership: Actively participate in design reviews, contribute to defining best practices, and help establish the foundation for production-grade AI systems within the organization. & Required Skills & Experience: • Experience: 2–6 years of demonstrated, hands-on experience building, shipping, and maintaining production-grade Machine Learning or AI-driven products. • LLM & Agent Expertise: Proven practical experience working with leading Large Language Models (e.g., GPT, Claude, Mistral) and autonomous agent frameworks (e.g., LangChain, CrewAI, or custom multi-agent architectures). • Core Engineering: Exceptional programming proficiency in Python. Strong experience with developing and consuming APIs, designing asynchronous systems, and deploying applications on cloud platforms (e.g., AWS, GCP, Azure). • AI Infrastructure: Expertise in scaling AI pipelines, specifically involving the use of vector databases (Vector DBs), embeddings, and advanced Retrieval-Augmented Generation (RAG) workflows. Ideal Mindset: • Entrepreneurial Drive: A strong bias for action, comfort with ambiguity, and an inherent drive associated with high-velocity startup environments. • Impact Focus: A desire to build foundational systems that directly and fundamentally redefine how India approaches financial trading. ? ( ) Work directly with the founders, both technical and business leaders, to shape the core technology at the forefront of India’s Quant-AI revolution. Build AI systems that actively democratize sophisticated, institutional-grade trading intelligence, making it accessible to a wider audience. Benefit from high professional autonomy, a purpose-driven culture, and exponential growth opportunities as the company scales. Competitive salary and early Employee Stock Ownership Plan (ESOP) opportunity. Shubham Bansal (IIT Guwahati, B.Tech 2017) Leads Engineering, Technology, and Product at TRADL Ex-Goldman Sachs VP (Quant Strategist + AI Engineer) Ex-Founder (FastPagos, X-Border Payments) Nilesh Raj (IIT Guwahati, B.Tech 2017): Leads Business, Operations, and Growth at TRADL Ex-Business Lead at Stable Money, 3x Startup Operator(Airblack, Fashinza) Ex-Founder (Finiso, Social Investing App).