Key Responsibilities
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- Building and operating highly sophisticated LLM driven applications.
- Partnering directly with other technology teams on LLM projects and providing assistance.
- Collaborating with Data Science and Cybersecurity teams to deliver cutting-edge ML products.
- Working with Devops engineers to plan and deploy data storage and processing systems.
- Developing creative software solutions, emphasizing design, development, and technical troubleshooting.
- Staying updated with the latest AI technologies and integrating them into operations.
**
Qualifications Required
**
- Formal training or certification in software engineering concepts with a minimum of 3 years of applied experience.
- Advanced python programming skills.
- Azure and/or AWS Certifications (Architect, Big Data, AI/ML).
- Hands-on experience in Azure and AWS.
- Proficiency with cloud technologies like Kubernetes, Airflow.
- Experience in working in a highly regulated environment.
- Proficient in all aspects of the Software Development Life Cycle with Terraform and IaaC experience.
- Expertise in UI technologies such as React, JavaScript, CSS, and HTML5.
- Proficient in using modern front-end tools like React, Redux, SASS, Webpack, Jest, etc.
- Experience in designing and delivering large-scale cloud-native architectures.
- Experience in microservices performance tuning and real-time applications optimization.
**Additional Company Details:**
- Experience with financial data and data science is preferred.
- Experience in developing applications for AI solutions using agentic frameworks.
- Experience with prompt optimization to enhance the effectiveness of AI applications.
You will be working at a Senior Level, contributing your expertise and skills to drive innovative solutions within a dynamic and collaborative environment.