Junior AI Platform Engineer
Crowe LLP (company site, opens in a new tab)0–2 yrsHyderabadOn-siteDirect career pageEst. 4–8 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and support backend APIs and services that connect AI/ML models and Generative AI services with enterprise applications.
- Help package and deploy services using Docker and Kubernetes, and support Azure configuration, CI/CD pipelines, monitoring, security, and reliability.
- Test and troubleshoot platform services, document operational details, and contribute to code reviews and delivery planning.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Software Engineering, Electronics, or a related field.
- Work Experience Required: 0–2 years of relevant experience; internships, academic projects, and personal projects count.
- Programming knowledge in Python, C#, Java, JavaScript, or a similar language; understanding of OOP, data structures, algorithms, HTTP/REST, JSON, databases, and SQL; basic Linux command-line familiarity.
- Selected candidates must complete the assigned pre-joining technology learning plan and readiness assessment; the JD also specifies a pre-joining capstone to build, test, containerize, and deploy an AI-enabled API.
Ideal Candidate Profile
- Early-career candidate with practical evidence of backend or API development through work, internships, or projects.
- Best aligned with platform engineering work spanning backend services, containers, cloud deployment, CI/CD, and operational monitoring; Azure, Docker, Kubernetes, or AI-service exposure is a plus, not stated as mandatory.
- Likely to succeed in a delivery environment involving hands-on testing and troubleshooting, security and reliability practices, documentation, and coordination with ML, product, support, and business teams.