Senior AI DevOps Engineer
Ericsson (company site, opens in a new tab)5–8 yrsKolkataOn-siteDirect career pageEst. 20–35 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and integrate AI/ML and Generative AI applications, including RAG, embeddings, vector databases, AI agents and MCP/tool-calling integrations.
- Own automation for testing, security checks, deployment and infrastructure provisioning across cloud-native environments.
- Improve production security, monitoring, reliability and troubleshooting as AI solutions move from experimentation into enterprise use.
Minimum Requirements
- Work Experience Required: 5–8 years in AI/ML engineering, DevOps, cloud engineering or automation.
- Strong Python and practical Generative AI/LLM experience, including prompt design, RAG, embeddings, vector databases and AI agent frameworks; experience with PyTorch or TensorFlow.
- Hands-on experience with Git, Ansible, CI/CD, Python and Bash scripting, Docker, Kubernetes, and at least one of AWS, Azure or Google Cloud; Linux experience is also required.
- Bachelor’s or master’s degree in computer science, engineering or a related technical discipline. Listed location: Kolkata, India; work mode is not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has taken AI applications beyond experimentation into deployment and production operations, balancing application development with automation, security and reliability.
- Brings practical experience across cloud-native infrastructure, CI/CD and enterprise production support rather than focusing only on model development.
- Telecommunications, networking or complex enterprise environment experience is an advantage, not stated as a mandatory requirement.