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Vice President, Data Engineering
Lead AI-driven data engineering for a healthcare tech company, building LLM-powered applications and scalable pipelines using Snowflake, Azure, and Python to improve patient communications.
AI Software Engineer
Build and ship AI-powered features into existing C#/.NET products using Azure AI, RAG, and agentic workflows, taking ideas from proof-of-concept to production.
Senior Data Scientist
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Lead AI Engineer
Lead AI Engineer designs and deploys enterprise-scale Agentic AI systems using LLMs, RAG pipelines, and orchestration frameworks to automate business processes and improve decision-making.
AI Lead Software Engineer - Java
Lead a team building secure, scalable AI platforms in Java/Spring Boot for JPMorganChase, integrating retrieval-augmented generation and agentic workflows while mentoring engineers and enforcing responsible AI practices.
Staff AI Data Engineer
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
AI / ML Engineer
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
AI / ML Engineer
Build and maintain LLM-powered agents that automate workflows and surface insights, deploying scalable AI pipelines on AWS while ensuring responsible, production-grade operation.
Sr AI Engineer
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Generative AI & Machine Learning Engineer
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, focusing on RAG, agents, and MLOps in a regulated financial environment.
Forward Deployed AI Engineer
Embed with enterprise clients to deploy and scale AI platforms (OpenAI, Anthropic, Google, etc.) into production, ensuring reliability, adoption, and measurable business value.
Investment AI Solutions Analyst
Design and deploy AI agents that integrate with investment workflows to enhance research, portfolio construction, and risk analysis for an asset-management firm.
Senior AI / Data Engineer
Build and operate cloud-native data platforms and AI-powered applications for Disney’s vacation brands, designing end-to-end data pipelines and machine-learning systems.
Senior AI Engineer
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
Credit Technology, Senior QA Automation Engineer – Chicago
Senior QA Automation Engineer builds and maintains Python-based test frameworks for financial applications, using Selenium, REST APIs, and AI tools like GitHub Copilot to ensure high-quality software delivery.
AI Data Engineer | Information Technology
Build and maintain data pipelines in Snowflake that feed AI and GenAI tools, unifying travel-industry data from portfolio companies and SaaS platforms for analytics and AI-driven insights.
AI Engineer
Build and integrate AI agents, RAG, and SLMs into production systems using LangChain, LangGraph, and containerized workflows.
Applied AI Scientist – Generative AI & Agentic Systems
Build and validate enterprise Generative AI and Agentic AI systems for a major bank, using LLMs, RAG, and AI agents while ensuring regulatory compliance and robust software engineering.
Digital Software Engineer Lead
Lead a team to architect and deliver scalable digital banking platforms using Java, Spring Boot, and microservices, while embedding AI tools to boost engineering productivity and code quality.
Java FullStack Engineer
Builds full-stack Java/Spring Boot apps with Angular/React and integrates Generative AI features like LLMs and RAG pipelines for a global bank’s internal and customer-facing systems.