Micron Technology, the memory and storage manufacturer behind DRAM, NAND, and NOR products, is hiring an AI Engineer (Full-Stack) for its Hyderabad office. The role is broader than the title suggests — it spans building GCP-based data pipelines, training and deploying ML models on Vertex AI, wiring up APIs through Apigee, and shipping full-stack applications with Angular front-ends. This is one role covering what would be three separate specializations at most companies: data engineering, MLOps, and application development.
For more roles in this space, check out AI/ML Jobs and IT & Private Sector Jobs on FreshersJob4U. If you’re weighing where a role like this sits relative to a pure data analyst or data scientist track, our Data Analyst vs Data Scientist vs ML Engineer guide breaks that down.
Apply Online — Micron AI Engineer (Full-Stack)
Quick Overview
| Parameter | Details |
|---|---|
| Company | Micron Technology |
| Job ID | JR109844 |
| Role | AI Engineer (Full-Stack) |
| Work Location | Hyderabad, Telangana |
| Qualification Stated | Not specified in the official posting |
| Salary / CTC | Not disclosed in the official posting |
| Application Mode | Online via Micron’s careers portal (Eightfold) |
What the Role Actually Covers
Reading through the responsibilities, the work splits into four fairly distinct tracks bundled into one position:
Data Pipelines & Cloud Ecosystem
- Building cloud-based data pipelines — ingestion, transformation, and feature engineering — on GCP, alongside Micron’s own data ecosystem (GDW, BigQuery, Snowflake, GDML/SMAPI).
- Pulling data from multiple databases via SQL and other query languages, then handling cleansing, outlier detection, and missing-data treatment.
ML Model Development & MLOps
- Training, deploying, and monitoring AI/ML models using Vertex AI, following modern MLOps practices — pipelines, a model registry, and drift/performance monitoring rather than one-off training runs.
APIs & Full-Stack Delivery
- Building and integrating APIs for application connectivity, including Apigee gateway patterns, token authentication, and routing/proxy setups.
- Developing production-grade full-stack applications and dashboards — Angular on the front end, with Streamlit or Omelek for rapid prototyping — with genuine attention to UI/UX rather than functional-but-rough interfaces.
- Setting up CI/CD pipelines for automated build, test, and deployment across Cloud Build, Bitbucket, Jenkins/Azure DevOps, and container orchestration.
Working AI Into Daily Practice
- Using AI-assisted tools and insights in day-to-day work to improve efficiency and quality, while exercising judgment and staying within organizational and legal standards.
- Contributing to a culture of continuous improvement by testing and sharing AI-enabled enhancements within one’s own scope of work.
Eligibility Criteria
The official posting doesn’t list a required degree, discipline, or years-of-experience range. Based purely on the tools and responsibilities described, this role expects meaningful hands-on exposure across several of the following, rather than deep expertise in just one:
- Cloud data engineering on GCP, with familiarity with BigQuery, Snowflake, or similar data warehousing tools.
- Practical ML model training and deployment experience, ideally with Vertex AI or a comparable managed ML platform.
- API development and integration, including gateway/authentication patterns (Apigee or similar).
- Front-end development in Angular, and comfort building dashboards or internal tools (Streamlit-style rapid prototyping).
- CI/CD and DevOps tooling — Cloud Build, Jenkins, Azure DevOps, Bitbucket, or container orchestration.
- Strong SQL for data extraction, cleansing, and handling data quality issues.
Who Should Apply?
- Candidates who’ve genuinely worked across the data-to-deployment pipeline — not just trained a model in a notebook, but taken something through to a served, monitored production endpoint.
- Those comfortable moving between cloud data engineering, ML operations, and front-end/API work in the same week, rather than staying in one lane.
- Candidates already using AI-assisted coding tools as part of their normal workflow, since the posting explicitly frames this as part of the day-to-day job, not an occasional experiment.
Who Is This Role Not For?
- Candidates whose experience is confined to one of the four tracks above (say, only front-end, or only classical data engineering) without any cross-over into the others — the breadth here is real, not just a long tools list for show.
- Those looking for a role with a clearly stated, verifiable experience bar — this posting is unusually silent on that, so candidates should be prepared to clarify seniority expectations directly during the process.
Salary
Micron has not disclosed a salary or CTC figure in the official posting. Candidates should confirm compensation directly during the interview or offer stage.
Selection Process
The official posting does not describe a specific test or interview format. Given the breadth of tools spanning cloud data engineering, MLOps, APIs, and full-stack development, candidates should be ready to speak concretely to real projects in at least two or three of these areas — what they built, which tools they used, and what broke along the way — rather than a general overview of familiarity with each.
Comparing this against other data/AI-heavy roles? ZS’s Platform Services Data Engineer role in Pune/Gurgaon covers similar cloud-and-pipeline ground, and StoneX’s Data Engineer apprenticeship in Pune is a lighter-weight entry point into the same kind of work.
How to Apply
- Visit the official Micron careers listing: AI Engineer (Full-Stack), Job ID JR109844.
- Click “Apply Now,” or go directly to the application page.
- Use the “find out how well you match with this job” feature to check fit before applying, if you’d like.
- Upload your resume and complete your candidate profile.
- Submit your application.
AI-use notice: Micron explicitly permits candidates to use AI tools to improve their resume or application materials, provided all information remains accurate and genuinely reflects their real skills and experience. Misusing AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud warning: Micron has advised job seekers to be cautious of unsolicited job offers and to verify any communication claiming to be from Micron against its official careers website, and has stated it does not charge candidates any recruitment fees or collect payment as a condition of employment.
Important Links
| Resource | Link |
|---|---|
| Apply Online | Apply Now → |
| Micron Careers Page | micron.com/careers |
About Micron Technology
Micron Technology is a global leader in memory and storage solutions, delivering DRAM, NAND, and NOR products through its Micron and Crucial brands. The company positions its work as fueling the data economy — enabling advances in artificial intelligence and 5G applications from the data center to the intelligent edge and across mobile and client experiences. This AI Engineer role sits within Micron’s broader push to combine its data ecosystem with production-grade AI/ML capability.
Frequently Asked Questions (FAQs)
Q1. What is the required experience level for this role?
The official posting does not state a years-of-experience range or specific degree requirement — this is a genuine gap in the source, not an oversight on our part. Candidates should clarify expectations directly during the hiring process.
Q2. Do I need experience in all four areas — data engineering, ML, APIs, and front-end?
The posting’s responsibilities span all four, suggesting the role expects real breadth rather than depth in just one area. Candidates without any cross-over experience across at least two or three of these tracks may find this role a stretch.
Q3. Is using AI tools to build my application allowed?
Yes, Micron explicitly encourages it, provided everything submitted is accurate and genuinely reflects the candidate’s actual skills — misrepresenting qualifications through AI misuse leads to immediate disqualification.
Q4. What is the salary for this role?
Micron has not disclosed a salary figure in the official posting. Candidates should confirm this during the hiring process.
Q5. Is there an application fee?
No. Micron has explicitly stated it does not charge candidates any recruitment fees or collect payment in connection with employment.
Source & Verification
- Source: Official Micron careers listing (Job ID JR109844), directly confirmed
- Official Website: micron.com
- Application Portal: Micron Careers Portal
- Last Checked: 31 August 2026
FreshersJob4U is not affiliated with Micron Technology. This post is for informational purposes only. Candidates should verify all details, including current application status, directly on the official application link before applying.
Engineering graduate and founder of FreshersJob4U. I write detailed job guides, interview prep resources, and career roadmaps for freshers and early-career professionals in India. This site started from my own experience with the scattered, confusing fresher job search — I wanted to build something cleaner.
