IND Associate Software Engineer

Key Responsibilities

• Work collaboratively with Data Architecture, Data Engineering, Cloud Services, and other enterprise teams to efficiently implement AI platform components.
• Develop core AI platform capabilities.
• Build strong engineering expertise in platform functionality, AI, ML, Agentic Frameworks, and modern data technologies.
• Execute engineering tasks, drive execution, and optimize workflows under guidance.
• Support research, experimentation, and implementation of suitable GenAI algorithms, tools, and technologies.
• Identify and assess opportunities, such as new data sources, analytical techniques, and technology, to ensure ongoing competitive advantage and alignment with industry best practices.
• Explore new services and capabilities in AWS and Google Cloud Platform to support GenAI and ML services.
• Provide occasional mentorship and thought leadership to junior engineers and peers.
• Collaborate lightly with internal and external technical and business teams on best practices and architecture.
• Review work with senior engineers and project leads on an ongoing basis to calibrate deliverables against project expectations.
• Participate in collaboration with internal and external technical and business teams on best practices and architecture.

Requirements & Tech Stack

• Bachelor’s degree or Master’s degree in Computer Science Engineering or related fields.
• Experience with Bachelor’s degree or less than 2 years accepted with advanced engineering degree & applied academic or internship experience/hands-on working experience with a strong focus on GenAI, ML, or full-stack software development.
• Ability to collaborate with engineering leads on the design, development, and scaling of large platforms, focusing on reliability, scalability, and security.
• Hands-on cloud platforms such as Google Cloud, AWS, and Azure.
• Hands-on experience building IaC scripts with Terraform.
• Development experience with programming languages such as Python, Java or equivalent.
• Experience with ML frameworks, i.e., TensorFlow, Anaconda, Scikit-Learn, SageMaker, Agentic AI, and Vertex AI.
• Experience with Agentic Productivity tools like Claude Code, Gemini CLI, or OpenAI Codex is a plus.
• Knowledge of CI/CD pipelines, Automated Testing, Automated Deployments, Unit Testing and Integration tools.
• Ability to collaborate and partner with business leaders and IT/Data Science teams.
• Agile and SAFe experience is a MUST.
• Excellent written and verbal communication skills.
• Experience enabling services such as Gemini Enterprise, Amazon Q, MSFT Copilot, and similar services to enterprise is a plus.
• Strong analytical, critical thinking, and problem-solving abilities.
• Demonstrate a willingness to challenge the status quo and a bias for action, driving innovation and excellence in AI platform development.
• Machine Learning Certification offered by GCP or AWS (Nice to Have).