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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 AI-powered data platform tools (React UIs, Python APIs, vector stores) that let users explore and query financial data in natural language while ensuring security and correctness in a regulated environment.
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
Design and operate PostgreSQL clusters and vector search systems to power Kraken’s crypto exchange and AI features, focusing on performance, reliability, and automation.
Build and deploy AI-driven applications and agents using Microsoft Copilot Studio, Azure OpenAI, and Azure AI Services to solve real business problems in a Microsoft enterprise environment.
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Build and maintain a Java/Spring Boot backend for an enterprise marketing supply chain platform, integrating AI via Amazon Bedrock and optimizing PostgreSQL with pgvector.
Build and maintain Java/Spring Boot backend services for an enterprise marketing supply chain platform, integrating AI via Amazon Bedrock and optimizing PostgreSQL with pgvector.
Builds and scales AI-powered backend infrastructure in Clojure, integrating LLMs and vector search to power outfit generation and recommendations for retail clients.
Build Palette’s AI-native signal engine: ingest team tool data, model it as a queryable graph, and power shared context for both humans and agents using LLMs and vector search.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Build and maintain backend services for an AI-powered platform that integrates LLMs and retrieval pipelines with third-party business systems, ensuring reliable data sync and structured outputs.
Builds enterprise GenAI apps with Python, LangGraph, and RAG pipelines, integrating LLMs and vector search for AI agents and chatbots.
Builds a new AI-powered data platform from scratch, focusing on full-stack development, data pipelines, lakehouse architecture, and AI-assisted features using React/Next.js, TypeScript, Node.js, Python, and Azure AI tools.
Senior Engineer builds and maintains IAM automation tools in Java/Python, automating user access, provisioning, and security integrations across enterprise systems.
Build and deploy generative AI and ML solutions for financial services using Azure OpenAI, LangChain, and vector databases, integrating backend, frontend, and MLOps.
Build and own scalable backend services in Java/Spring Boot and Python, using AI tools to accelerate development while integrating LLMs and vector search for real-time chat commerce platforms.
Build and own scalable Java/Spring Boot and Python backend services, integrate AI tools (LLMs, RAG) into workflows, and validate AI-generated code for production systems.
Designs and implements large-scale generative AI and agentic systems for enterprise clients, focusing on multi-agent architectures, RAG, and cloud integration across AWS/Azure/GCP.
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
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