Lead AI Engineer
INR 4000K-5500K (estimate) Senior-level Full Time
Tasks
- Architect and deploy AI agents
- Build and operate AI systems on Google Cloud Platform
- Collaborate with product and data science teams
- Create and maintain technical documentation and runbooks
- Define and report engineering metrics
- Deliver technical presentations
- Design build and deploy scalable APIs microservices and platforms
- Develop prompt and context engineering frameworks
- Ensure DevSecOps and FinOps compliance
- Establish monitoring and observability for AI agents
- Identify prototype and integrate foundational models
- Implement MLOps for agentic systems
- Lead Agile ceremonies and planning
- Troubleshoot production and customer issues
Perks/Benefits
Skills/Tech-stack
API Development | Angular | Argo CD | CI/CD | Cloud platform | CloudFormation | Context engineering | Docker | DynamoDB | Firestore | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | JavaScript | Jenkins | Kubernetes | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | MLOps | Microservices | Microservices Architecture | Model Integration | MongoDB | Monitoring | MySQL | Observability | PostgreSQL | Prompt engineering | Python | React | SQL | Terraform | TypeScript | Vertex AI | Vue | “as-code”
Education
Roles
AI | AI Engineer | Architect | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer | Software Architect
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