Full Stack Developer with AI ML

Design, develop, test, deploy, and maintain scalable and high-performance software applications using Python.

• Develop robust backend services, RESTful APIs, and microservices using frameworks such as FastAPI, Flask, or Django.

• Design and implement efficient, scalable, and reliable database solutions.

• Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database operations.

• Design and develop AI-powered applications using Generative AI technologies.

• Build and implement Retrieval-Augmented Generation (RAG) solutions and AI driven workflows.

• Integrate and work with Large Language Models (LLMs), including OpenAI, Azure OpenAI, or similar platforms.

• Develop solutions that combine enterprise data, APIs, and AI capabilities to solve business problems.

• Apply software engineering best practices, including object-oriented programming, design patterns, testing, code reviews, and version control.

• Design and develop distributed and scalable services suitable for enterprise environments.

• Collaborate closely with Product Managers, Data Engineers, Software Engineers, and other cross-functional stakeholders.

• Translate business requirements into scalable technical solutions and deliver high quality software within defined timelines.

• Troubleshoot production issues and continuously improve application performance, reliability, and scalability.

The candidate must have hands-on experience in the Financial Services domain and be comfortable working across software engineering, data, and AI technologies. This role will focus on designing and developing enterprise-grade applications leveraging Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG)., * Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 5-7+ years of professional software engineering experience.
• Mandatory experience in the Financial Services domain.
• Strong hands-on experience with Python development.

• Advanced knowledge of SQL, including query optimization, stored procedures, and database design.

• Hands-on experience developing RESTful APIs using FastAPI, Flask, Django, or similar frameworks.

• Strong understanding of Object-Oriented Programming (OOP) and software design principles.

• Experience with microservices architecture and distributed systems.
• Hands-on experience developing and integrating Generative AI applications.

• Experience working with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms.

• Proven experience implementing Retrieval-Augmented Generation (RAG) solutions.

• Strong problem-solving, analytical, communication, and collaboration skills.