Job Summary:
We are looking for an experienced AI & Data Engineer with strong hands-on experience in Agentic AI, AWS, data engineering, and BI platforms. The candidate will build AI agents, data solutions, and enterprise applications using modern cloud and data technologies.
Build and maintain AI agents using LLMs, RAG, prompt/context engineering, APIs, MCP, and tool/function calling.
Use GitHub Copilot for coding, testing, debugging, documentation, and code reviews.
Develop cloud-native solutions using AWS, Python, Java, TypeScript, and SQL.
Work with Snowflake, Starburst, data lakes, data mesh, and data fabric.
Develop and integrate Power BI/Tableau reports, semantic models, SQL, and data products.
Build MCP/API integrations and browser automation using Playwright.
Implement data governance, security, testing, observability, and CI/CD.
Work with business and technology teams to design, develop, test, and deploy enterprise data solutions.
2+ years Agentic AI / LLM / RAG experience.
2+ years GitHub Copilot or similar AI-assisted development experience.
3+ years AWS cloud development experience.
Strong Python, Java, TypeScript, and SQL skills.
Experience with Snowflake, Starburst, Power BI/Tableau, data modeling, ETL, and data governance.
Experience with MCP, APIs, Playwright, automated testing, and AI governance.
Strong communication and collaboration skills.
Banking/Financial Services experience is preferred.
Education: Bachelor’s degree in Computer Science, IT, Software Engineering, or related field.
