AI Engineer
Pune, Gera Commerzone SEZ, India
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply AI guardrails and safety tooling
- Build and deploy AI ML or LLM based systems
- Build internal platforms and developer tooling
- Collaborate on software requirements and solution strategies
- Design high-quality software solutions
- Develop RAG systems and vector search
- Develop unit tests
- Ensure code scalability maintainability performance
- Implement MLOps for models and prompts
- Implement infrastructure-as-code
- Implement secure coding practices
- Integrate solutions with business objectives
- Monitor and evaluate model performance
- Monitor and maintain AI systems in production
- Optimize AI inference and model serving
- Perform code reviews and knowledge sharing
- Provision cloud infrastructure and GPUs
- Set up CI CD for models and prompts
- Set up production rollback strategies
- Track experiments and versions
- Use agentic frameworks for tool use and orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Frameworks | Azure | Bicep | CI/CD | Cloud platform | Deep learning | Docker | Experiment tracking | GPU provisioning | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | Kubernetes | LLM | MLOps | Machine Learning | Model Monitoring | Networking | Orchestration | Production Rollback | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Secure Coding | Terraform | Tool use | Unit Testing | Vector Search | Version control | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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