Senior AI Engineer
IND-Pune-Equifax Analytics-PEC, India
INR 4000K-5500K (estimate) Senior-level Full Time
Tasks
- Architect and deploy cloud native AI systems on Google Cloud Platform
- Build scalable APIs and microservices
- Collaborate with product data science and SRE teams
- Create and maintain technical documentation and runbooks
- Define engineering metrics SLA SLO SLI
- Deliver technical presentations to stakeholders
- Design, build, and deploy AI Agents
- Develop prompt and context engineering frameworks
- Establish DevSecOps and FinOps best practices
- Implement MLOps for agentic AI reliability monitoring and observability
- Integrate foundation models and RAG systems
- Lead production troubleshooting and incident resolution
- Plan sprint activities and run retrospectives
Perks/Benefits
Skills/Tech-stack
API Development | Angular | Argo CD | CI/CD | Cloud AI | Cloud platform | DevSecOps | Docker | DynamoDB | FinOps | Firestore | GitHub Actions | Google Cloud | Google Cloud AI | Google Cloud Platform | Infrastructure as Code | Java | JavaScript | Jenkins | Kubernetes | LLM Observability | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | MLOps | Microservices | MongoDB | Monitoring | MySQL | NoSQL | Observability | PostgreSQL | Python | RAG | React | SLA | SLI | SLO | SQL | Security | Terraform | TypeScript | Vertex AI | Vue | “as-code”
Education
Roles
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