Senior AI Engineer - Career
IND-Pune-Equifax Analytics-PEC, India
INR 3242K-5000K (estimate) Senior-level Full Time
Tasks
- Build scalable APIs microservices and PaaS SaaS platforms
- Collaborate with product leaders, data scientists, and engineers
- Create and report engineering metrics SLA SLO SLI
- Design test and refine prompts and context
- Design, build, and deploy AI Agents
- Engineer and operate AI systems on Google Cloud Platform
- Ensure DevSecOps and FinOps best practices
- Establish MLOps reliability versioning monitoring and observability
- Identify prototype and integrate foundational models and RAG techniques
- Lead Agile sprint planning and retrospectives
- Maintain technical documentation and runbooks
- Troubleshoot production and customer issues
Perks/Benefits
Skills/Tech-stack
API Development | 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 | Language Models | Large Language Models | MLOps | Microservices | MongoDB | MySQL | Observability | PaaS | PostgreSQL | Prompt engineering | Python | React | Retrieval-Augmented Generation | SQL | SaaS | Terraform | TypeScript | Vertex AI | Vue
Education
Roles
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