We have an outstanding opportunity for an experienced, hands-on AI Engineer to join a highly successful, financially stable Connecticut-based bank that is making a significant investment in modern technology, data, and artificial intelligence.Employee testimonials:Competitive pay, communicative leaders, fantastic work life balance!Great benefits, great pay. Plenty of Opportunities to grow – and reach your career goals!Great environment to grow your career!Friendly and inviting culture !Title: Senior AI EngineerLocation: Stamford, CT (Hybrid)Salary: $175,000 – 205,000 +BonusBenefits: Medical, Dental, Vision, 401(k), PTOExcellent opportunity for an experienced engineer who wants to do more than maintain existing systems. You'll have the freedom to build new applications, introduce modern technologies, and help shape a growing Data & AI practice.The company has recently established a new Data & AI Office and is looking for a talented engineer who enjoys building applications, solving complex business problems, and working with modern cloud and AI technologies.This is an opportunity to help build a new technology environment from the ground up, work directly with senior leadership, and play an important role in the company's long-term technology strategy.What You'll Be DoingDesign, develop, and deploy full-stack web applications using Microsoft Azure.Build modern front-end applications using JavaScript/TypeScript, React, HTML, and CSS.Develop back-end services and REST APIs using Python and/or C#/.NET.Design and optimize SQL Server/Azure SQL databases, including complex queries, stored procedures, and data integrations.Build AI-powered applications and automation solutions using LLMs, Claude, and other AI technologies.Use AI-assisted coding tools such as Claude Code, GitHub Copilot, or similar technologies to accelerate development.Work directly with business leaders to develop applications that improve operations, reporting, and decision-making.Take ownership of projects from initial design through production deployment.Required Experience10+ years of professional software development or data engineering experience with a strong record of building production applications.Strong hands-on experience developing and deploying applications in Microsoft Azure.Full-stack development experience with React, JavaScript/TypeScript, and Python or C#/.NET.Advanced SQL Server/Azure SQL skills, including database design, query optimization, and stored procedures.Experience developing REST APIs and integrating applications with databases and external services.Practical experience using Claude Code, GitHub Copilot, or similar AI-assisted development tools.Experience integrating LLMs or AI capabilities into business applications.Strong problem-solving skills and the ability to independently design, develop, and deliver solutions.Additional Experience That Would Be ValuableAzure Functions, App Service, Container Apps, and Entra ID.AI agents, RAG, prompt engineering, and LLM API integrations.Power BI, ETL/data pipelines, and Azure Data Factory or Microsoft Fabric.CI/CD, GitHub Actions, or Azure DevOps.Financial services, banking, or another regulated industry.
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We have an outstanding opportunity for an experienced, hands-on AI Engineer to join a highly successful, financially stable Connecticut-based bank that is making a significant investment in modern technology, data, and artificial intelligence.Employee testimonials:Competitive pay, communicative leaders, fantastic work life balance!Great benefits, great pay. Plenty of Opportunities to grow – and reach your career goals!Great environment to grow your career!Friendly and inviting culture !Title: Senior AI EngineerLocation: Stamford, CT (Hybrid)Salary: $175,000 – 205,000 +BonusBenefits: Medical, Dental, Vision, 401(k), PTOExcellent opportunity for an experienced engineer who wants to do more than maintain existing systems. You'll have the freedom to build new applications, introduce modern technologies, and help shape a growing Data & AI practice.The company has recently established a new Data & AI Office and is looking for a talented engineer who enjoys building applications, solving complex business problems, and working with modern cloud and AI technologies.This is an opportunity to help build a new technology environment from the ground up, work directly with senior leadership, and play an important role in the company's long-term technology strategy.What You'll Be DoingDesign, develop, and deploy full-stack web applications using Microsoft Azure.Build modern front-end applications using JavaScript/TypeScript, React, HTML, and CSS.Develop back-end services and REST APIs using Python and/or C#/.NET.Design and optimize SQL Server/Azure SQL databases, including complex queries, stored procedures, and data integrations.Build AI-powered applications and automation solutions using LLMs, Claude, and other AI technologies.Use AI-assisted coding tools such as Claude Code, GitHub Copilot, or similar technologies to accelerate development.Work directly with business leaders to develop applications that improve operations, reporting, and decision-making.Take ownership of projects from initial design through production deployment.Required Experience10+ years of professional software development or data engineering experience with a strong record of building production applications.Strong hands-on experience developing and deploying applications in Microsoft Azure.Full-stack development experience with React, JavaScript/TypeScript, and Python or C#/.NET.Advanced SQL Server/Azure SQL skills, including database design, query optimization, and stored procedures.Experience developing REST APIs and integrating applications with databases and external services.Practical experience using Claude Code, GitHub Copilot, or similar AI-assisted development tools.Experience integrating LLMs or AI capabilities into business applications.Strong problem-solving skills and the ability to independently design, develop, and deliver solutions.Additional Experience That Would Be ValuableAzure Functions, App Service, Container Apps, and Entra ID.AI agents, RAG, prompt engineering, and LLM API integrations.Power BI, ETL/data pipelines, and Azure Data Factory or Microsoft Fabric.CI/CD, GitHub Actions, or Azure DevOps.Financial services, banking, or another regulated industry.
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