Senior AI Engineer
IND-Pune-Equifax Analytics-PTEC, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply DevSecOps and FinOps best practices
- Architect and deploy AI agents
- Collaborate with product leaders, data scientists, and engineers
- Create prompt and context engineering frameworks
- Create technical presentations for stakeholders
- Define engineering metrics SLA SLO SLI
- Design, build, and deploy microservices and APIs
- Develop scalable reliable high performance services
- Ensure model reliability monitoring and observability
- Identify prototype and integrate foundational models and RAG
- Implement MLOps for agentic systems
- Lead agile ceremonies and engineering execution
- Maintain technical documentation runbooks and support materials
- Operate AI systems in production on Google Cloud Platform
- Troubleshoot production and customer issues
Perks/Benefits
Skills/Tech-stack
Angular | Argo CD | CI/CD | Cloud platform | CloudFormation | DevSecOps | Docker | DynamoDB | FinOps | Firestore | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Java | JavaScript | Jenkins | Kubernetes | LLM Observability | Langchain | Langfuse | Langgraph | MLOps | Machine Learning | MongoDB | Monitoring | MySQL | NoSQL | Observability | PostgreSQL | Prompt engineering | Python | RAG | React | SQL | Security | Terraform | TypeScript | Vertex AI | Vue
Education
Roles
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