Xoidlabs

Company Description Xoidlabs builds next-gen AI systems that learn from humans and scale across entire business operations. Specializing in Speech AI, Agentic AI, and AI-driven SaaS, we enable faster, smarter, and more scalable solutions across various verticals. Our core capabilities include LLM fine-tuning, AI-oriented full stack development, and low/no-code integrations. We aim to simplify AI adoption for businesses, creating multi-agent AI systems to serve as coworkers. Located in India, we are pioneering a culturally-aware LLM, positioning Indian AI on the global stage. Role Description This is a full-time remote role for a Full Stack Engineer specializing in Algo trading. The Full Stack Engineer will be responsible for developing and maintaining both frontend and backend applications, working on algorithmic trading systems, and collaborating with cross-functional teams to deploy and scale AI-powered trading solutions. The role requires daily involvement in software development, from designing interfaces to integrating complex backend functionalities. Qualifications Proficiency in both Back-End Web Development and Front-End Development •⁠ ⁠Proficient in Python programming (Experience with pandas, numpy for data analysis) •⁠ ⁠Hands-on experience with REST API integration and consumption •⁠ ⁠Strong database management skills and SQL proficiency •⁠ ⁠Ability to handle real-time data streams and implement trading logic •⁠ ⁠Familiarity with cloud platforms (AWS) for deployment Familiarity with AI-oriented development tools and frameworks Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a remote team Bachelor's degree in Computer Science, Engineering, or a related field Experience in algo trading platforms and financial markets is a plus Responsibilities: •⁠ ⁠Develop and implement trading algorithms using Kite API •⁠ ⁠Design database schema for storing market data and trade records •⁠ ⁠Build robust API integrations for data retrieval and order execution •⁠ ⁠Implement proper error handling and logging mechanisms •⁠ ⁠Optimize algorithm performance for real-time trading scenarios