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TC
Tata Consultancy Services Limited
AI Native Software Engineer (Full Stack Engineer)
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$160,491 / year median in California
Job Description
Role:
AI-Native Software Engineer Customers are looking for a full-stack, AI-native software engineer to build capabilities that will help secure the products of today and the AI-built, agent-operated systems of tomorrow. Responsibilities -- You've made the shift from being an experienced, effective software engineer to being an AI-native one.
- You have proven experience serving as a software engineer for web application projects, hosted On-Premise and Cloud, supporting a large customer base.
- You treat performance as a design constraint, not a tuning pass after the fact.
- You know when to build and when to buy — you can justify choosing a custom-built solution over an off-the-shelf or cloud-native service.
- You think in systems and evaluate designs critically — whether reviewing AI-generated code or your own architecture — catching the subtle bug, security gap, or design choice that won't hold up under load or misuse.
- You use spec-driven development with AI as your default way of engineering software.
- You pick up new tools and approaches quickly, since the effective way to work with AI changes often, and you'd rather adapt early than fall behind.
- You are decisive without being divisive — you can analytically weigh trade-offs, balance competing priorities, and drive decisions that span organizational boundaries.
- You have excellent communication and organization skills. Minimum Qualifications -
- BS or MS degree in Computer Science, Computer Engineering, or a related technical field, or demonstrated equivalent experience.
- Demonstrated fluency in leveraging AI technologies across the entire software development lifecycle, including breaking down user stories into actionable tasks, AI-assisted coding and testing, automated defect resolution, and deployment of fully tested software.
- Server-side software development experience with Python, Java, NodeJS, and/or other similar technologies; client-side web application development experience using React, Backbone, native JavaScript, and/or other comparable technologies.
- Expertise in building secure, large-scale systems using fault-tolerant technologies (such as Elasticsearch, CockroachDB, Oracle, MongoDB & Kafka); experience with building and deploying with cloud-native technologies.
- CISSP/CCSP or similar certification useful.