Deloitte · KA, India
Skills: React, Angular, Python, SQL, MongoDB, AWS, Docker, CI/CD, Testing
Artificial Intelligence & Engineering
AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.
Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
Position Summary
Level: Software Engineer II
As a Software Engineer II in Deloitte Consulting’s AI & Engineering practice, you will help design, build, and deploy AI-enabled full-stack applications that support client transformation. You will work across the software development lifecycle, from requirements analysis and solution design through deployment and optimization. This role offers the opportunity to contribute to engineering-led delivery, innovation, and scalable technology solutions in a fast-paced consulting environment.
Work you’ll do:
As a Software Engineer II on the Engineering as a Service team, you will be responsible for
Design, develop, and deploy scalable full-stack applications using Python and modern web frameworks. Translate business and technical requirements into solution designs aligned to client, industry, and project objectives. Build AI-enabled applications, including chatbots, copilots, and retrieval-augmented solutions, using large language model frameworks and prompt optimization techniques. Develop and integrate application programming interfaces, data services, and cloud-based components to support secure and scalable solution delivery. Participate in Agile delivery activities, peer reviews, defect resolution, process improvement, and knowledge-sharing across project teams.
The team:
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