Lead AI Engineer
IND-Pune-Equifax Analytics-PEC, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect cloud native scalable microservices and APIs
- Build and operate AI systems on Google Cloud
- Collaborate with product leaders and engineers to translate requirements
- Create technical documentation runbooks and user guides
- Define engineering metrics SLA SLO SLI
- Ensure security quality and DevSecOps best practices
- Establish MLOps reliability versioning monitoring and observability
- Implement prompt and context engineering
- Lead AI agent design build and deployment
- Lead Agile sprint planning and retrospectives
- Monitor debug and improve agent workflows
- Prototype integrate and evaluate foundational models and RAG
- Troubleshoot production and customer issues
Perks/Benefits
Skills/Tech-stack
Agile | Angular | Argo CD | CI/CD | Cloud platform | CloudFormation | DevSecOps | Docker | DynamoDB | FinOps | Firestore | GitHub Actions | Google Cloud | Google Cloud Platform | Java | JavaScript | Jenkins | Kubernetes | Langchain | Langfuse | Langgraph | MLOps | Model Monitoring | MongoDB | MySQL | NoSQL | Observability | PostgreSQL | Prompt engineering | Python | RAG | React | SLA | SLI | SLO | SQL | Terraform | TypeScript | Vertex AI | Vue
Education
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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