Software Engineer III, Python/Gen AI

About the Role

Key Responsibilities

• Work with business stakeholders, product teams, and other technology teams to finalize software solutions in-line with the strategic end-state.
• Architect, design, and develop multiple AI products for core AI and Machine Learning (ML) team leveraging generative AI, natural language processing and other AI-ML technologies.
• Work with other software developers and data scientists, and collaborate with product and developers on the team.
• Determine timelines for different product features and communicate them to business stakeholders.
• Perform data modeling for different AI software solutions, decide data persistence strategies, and create data pipelines.
• Establish coding standards for committing codes into different repositories and perform code reviews.
• Maintain responsibility for product deployments on public and private clouds, and ensure server costs are properly managed through regular monitoring and tuning.
• Perform test-driven back-end development, as well as test-driven front-end development.
• Contribute to test-driven AI and ML model development and improvement.

Requirements

• Formal training or certification on Software Engineering concepts and 3+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability and Agile SDLC.
• Advanced in following languages: Python, Java, Javascript.
• Proficient in technologies such as FastAPI, Spring, Agent Building tools and LLMs.
• Proficiency in automation and continuous delivery methods.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• In-depth knowledge of the financial services industry and their IT systems.
• Experience in microservice design pattern, data structures and algorithms.
• Experience with cloud services such as AWS, Terraform.
• Experience working in a global setup and ability to interact with clients.

Nice to Have

• Exposure to python libraries such as pandas, scipy and numpy.
• Exposure to python concurrency through python multiprocessing.
• Exposure to grid computing concepts.
• Knowledge of the financial services industry and their IT systems.

Qualifications

• Educational background not explicitly specified, but formal training or certification in Software Engineering concepts required.

Benefits & Perks

• Competitive total rewards package including base salary, commission-based pay, and discretionary incentive compensation.
• Range of benefits including comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.