? Hiring: Senior AI DevOps Engineer | AI/ML | GenAI | MLOps

We are hiring an experienced Senior AI DevOps Engineer with 7–10 years of experience and strong expertise in AI/ML Engineering, Generative AI, DevOps, and MLOps.

The ideal candidate should have hands-on experience in developing, deploying, automating, and managing AI/ML and GenAI applications across cloud environments. The role requires a strong combination of Python programming, LLM-based applications, RAG architecture, CI/CD automation, Kubernetes, Docker, and Infrastructure as Code.

We are looking for a hands-on technical professional who can bridge the gap between AI Engineering and DevOps and take AI solutions from development to production.

? Job Details

- Job Title: Senior AI DevOps Engineer
- Experience: 7–10 Years
- Employment Type: Contract-to-Hire (Initial 6-month contract, followed by transition to client's payroll)
- Work Locations: Pune | Bangalore | Hyderabad | Noida
- Work Mode: As per project requirements
- Notice Period: Immediate Joiners to 15 Days Preferred

? Key Responsibilities AI/ML & Generative AI Engineering

- Design, develop, and deploy AI/ML and Generative AI applications.
- Build LLM-based applications using LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
- Develop Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases.
- Develop and integrate AI models using Python and relevant ML frameworks.
- Optimize AI applications for performance, scalability, and cost efficiency.

DevOps & MLOps

- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
- Automate model training, testing, deployment, and retraining workflows.
- Manage containerized AI applications using Docker and Kubernetes.
- Implement Infrastructure as Code (IaC) using Terraform or Ansible.
- Automate deployment,



release management, and operational workflows.

Cloud & Infrastructure Management

- Deploy and manage AI/ML workloads across AWS, Azure, or GCP.
- Work with cloud-native AI/ML services and infrastructure.
- Manage Kubernetes environments such as AKS, EKS, and GKE.
- Implement monitoring, logging, alerting, and infrastructure security.
- Troubleshoot production deployment issues and ensure scalability, availability, and reliability.

? Mandatory Technical Skills
- Strong Python programming and scripting experience.
- Hands-on experience in AI/ML model development and deployment.
- Knowledge of Generative AI, LLMs, and RAG architecture.
- Experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
- Understanding of vector databases and embedding models.
- Robust experience with CI/CD tools – Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps.
- Hands-on experience with Docker and Kubernetes.
- Infrastructure as Code using Terraform.
- Strong understanding of Git, Linux, and Shell/Python scripting.
- Experience with at least one cloud platform – AWS, Azure, or GCP.
- Experience with MLOps tools such as MLflow, Kubeflow, or equivalent platforms.

? Good to Have
- Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- NVIDIA GPU infrastructure and GPU-based workloads.
- Prometheus, Grafana, and ELK Stack.
- Helm Charts and Microservices Architecture.
- Agentic AI and Multi-Agent Systems.
- DevSecOps and Cloud Security practices.

? Ideal Candidate Profile We are looking for professionals who have hands-on experience across both AI/GenAI Engineering and DevOps/MLOps , with the ability to independently develop, deploy, and operationalize AI solutions in production environments.

Candidates with experience limited to traditional DevOps or infrastructure management without practical AI/ML and GenAI exposure may not be suitable for this role.

If this opportunity aligns with your experience, apply now or share your profile!

📌 Senior AI DevOps Engineer | AI/ML | GenAI | MLOps (Pune)
🏢 Philodesign Technologies
📍 Pune