Job
Description
Job Summery: We are seeking an innovative AI Engineer to develop and integrate AI assistants and automation with auto-trading systems. The ideal candidate has strong expertise in Generative AI, LLMs, NLP, and conversational AI. Responsibilities include designing NLP-powered agents, building AI-driven trading automation, fine-tuning models, creating trade-execution scripts, ensuring system reliability, and collaborating with backend and quantitative teams for seamless trade execution. key accountabilities and activities: Design and fine-tune generative AI models and LLMs for conversational agents and workflows. Develop and maintain intelligent financial chatbots with multi-turn, context-aware conversations. Optimize prompt engineering and dialogue management to improve output quality and safety. Build NLP pipelines for tasks like classification, entity extraction, and sentiment analysis. Create autonomous AI agents and microservices for automated trading workflows. Collaborate with quantitative analysts and backend teams to integrate AI signals with trade execution. Integrate AI features via APIs across various backend systems. Monitor, optimize, and implement fail-safes for AI models and trading automation. Perform rigorous testing and quality assurance, including rollback plans. Research and apply latest AI and fintech innovations. Perform additional duties as assigned by management. Core Competencies Summary: Expertise in designing, fine-tuning, and deploying Large Language Models (e.g., GPT-3/4) and generative AI frameworks. Skilled in prompt engineering to optimize AI responses, especially for financial applications. Experience building conversational AI/chatbots with domain-specific knowledge. Proficient in NLP techniques: classification, entity extraction, sentiment analysis, intent detection. Familiar with AI agent frameworks and orchestration tools (LangChain, Rasa). Strong backend and API integration skills (REST, GraphQL) across Python, Node.js, Java. Experience with cloud AI platforms (OpenAI, Anthropic, AWS, Google Vertex AI). Knowledge of vector databases and retrieval augmented generation (Pinecone, FAISS). Skilled in monitoring, performance optimization, and AI model testing/QA. Research-driven, staying updated on AI/NLP trends and innovations. Excellent communication and collaboration abilities. Advanced proficiency in English. Job Specifications: Industry/Domain: AI & Machine Learning in Capital Markets and Trading Automation Experience: Multilingual/low-resource NLP, DevOps tools, AI deployment, ethical AI, prompt security, data privacy Education: Bachelor’s or Master’s in Computer Science, AI, Machine Learning, Data Science, or related field Show more Show less
