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Build and maintain enterprise data platforms and integrations using Java/Spring Boot, Node.js/Vue.js, and Kafka, while embedding AI tools to improve code quality and reliability.
Junior Product Manager role to help design and deliver an LLM-based productivity tool for a major investment bank, gathering user insights and collaborating with engineering.
Design and implement AI solutions for enterprise clients, integrating GenAI, NLP, and multimodal systems while optimizing algorithms and reducing latency.
Build and deploy LLM-powered tools for an investment firm, including research assistants and internal agents, while designing scalable AI infrastructure and governance.
Own AI-powered product features, collaborating with engineering and data teams to build LLM apps, agents, and recommendation systems while aligning with business goals.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Builds production-ready AI applications and agents for financial services, integrating LLMs and APIs into enterprise workflows while ensuring compliance and performance.
Builds AI-powered features and agent-based systems for financial services, integrating LLMs and APIs into production applications while ensuring compliance and performance.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Senior ML engineer builds multimodal medical imaging AI systems—foundation models, report generation, lesion detection—using Python/PyTorch and collaborates with clinicians to deploy in hospitals.
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Design and build synthetic data pipelines for AI model training using prompt engineering and quality scoring to generate high-quality training data.
Build and optimize LLM-based trading tools like Q&A systems and agents using Python, prompt engineering, and transformer models for a crypto derivatives exchange.
Designs and builds synthetic data pipelines for AI training, focusing on prompt engineering, dataset distillation, and bias mitigation to improve model performance.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build and maintain a core crypto exchange mobile app for iOS/Android, shipping features like trading, asset management, and wallet integrations while optimizing performance for millions of users.
Build backend services for real-time fraud detection and risk analysis using Java/Spring Boot, Kafka, and AI-assisted tools.
Build and deploy LLM-powered AI agents, RAG systems, and backend trading infrastructure in Python to automate research, risk, and trading workflows for a quantitative trading firm.
Build and deploy AI-powered banking apps using LLMs, RAG pipelines, and Python; automate workflows with n8n and Kubernetes.
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