Data & AI Solutions Engineer
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Role details
Tech stack
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Job description
· Design, develop, test, and maintain scalable software applications using Python.
· Develop high-performance backend services, RESTful APIs, and microservices.
· Write efficient and optimized SQL queries and design robust database solutions.
· Build and integrate AI-powered applications using Generative AI technologies.
· Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows.
· Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms.
· Collaborate with product managers, data engineers, and cross-functional teams to deliver high-quality software.
Requirements
· Bachelor’s degree in Computer Science, Engineering, or a related field.
· 5-7+ years of professional software engineering experience.
· Financial Services Domain Experience - Mandatory
· Strong hands-on experience with Python development.
· Advanced SQL skills, including query optimization, stored procedures, and database design.
· Experience developing REST APIs using FastAPI, Flask, Django, or similar frameworks.
· Strong understanding of object-oriented programming, software design patterns, and distributed systems.
· Hands-on experience building applications using Generative AI (GenAI).
· Experience integrating OpenAI, Azure OpenAI, or other LLM platforms.
· Experience implementing Retrieval-Augmented Generation (RAG) solutions.
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