1094 results (47 new)
1094 results (47 new)
Must have:
Key Responsibilities
· 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.
Required Qualifications
· Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
· 5–7+ years of professional software engineering experience.
· 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.
Required Technical Skills Category
Required Skills Programming Python
Advanced SQL, Query Optimization, Stored Procedures, Database Design
REST APIs, FastAPI, Flask, Django
Microservices, Distributed Systems, Design Patterns
Generative AI, LLMs, AI Applications
OpenAI, Azure OpenAI, or similar platforms
AI Architecture RAG, AI Workflows Domain
Financial Services – MandatoryPreferred Qualifications
· Experience developing enterprise-grade AI or data-intensive applications.
· Experience working with cloud-based AI and data platforms.
· Familiarity with vector databases, embeddings, prompt engineering, and AI orchestration frameworks.
· Experience working in Agile/Scrum development environments.
· Experience with CI/CD, Git, automated testing, and modern software development practices.
Ideal Candidate Profile
The ideal candidate is a hands-on Software/AI Engineer who combines strong traditional software engineering fundamentals with practical Generative AI and LLM experience. The candidate should be capable of independently developing production-ready Python
applications while integrating enterprise data and modern AI technologies to deliver business-focused solutions.
This version is structured to make the mandatory Financial Services experience, Python/SQL foundation, and GenAI/RAG expertise very clear to recruiters and candidates.
Established in 2020, Zenox Global embarked on a mission to redefine staffing solutions. From our inception, we recognized the evolving needs of businesses and the workforce, driven by a commitment to innovation and excellence.
In our early days, we focused on building a robust network of talent and establishing strong relationships with clients across various industries. By understanding the unique challenges each sector faced, we tailored our approach to deliver customized staffing solutions that aligned with our clients' strategic goals.
In 2021, we expanded our services to include specialized recruitment sectors, allowing us to cater to a broader range of client needs. Our commitment to diversity and inclusion became a cornerstone of our strategy, ensuring that we provided opportunities for all candidates while enhancing the talent pool available to our clients.
As we progressed into 2023, the foundation we built allowed us to thrive in a competitive market. Our reputation for delivering high-quality candidates promptly made us the go-to staffing solution for numerous organizations. We invested in technology, utilizing advanced tools for candidate sourcing and management, which streamlined our operations and improved efficiency.
Now, as we look forward to the future, Zenox Global continues to embrace innovation and remain ahead of industry trends. Our journey is not just about providing staffing solutions; it is about forging lasting partnerships and creating a positive impact on the workforce landscape. We remain dedicated to supporting our clients and candidates as we navigate the ever-changing world of employment together.
With each milestone, we strengthen our resolve to be at the forefront of staffing solutions, ensuring that we are not only meeting today’s needs but also anticipating tomorrow's challenges.
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