Sr. AI Engineer - 2.00 pm to 11.00 pm IST (Remote, IND)
IND MH Remote, India
R
INR 3242K-4580K (estimate) Senior-level Full Time
Tasks
- Automate GTM workflows
- Build Salesforce applications and integrations
- Build autonomous agents and multi agent systems
- Conduct blameless post-mortems
- Create enterprise AI architecture patterns
- Define error handling and fallback strategies
- Design RAG systems and retrieval pipelines
- Design and build LLM powered workflows
- Engineer CI/CD pipelines
- Evaluate AI vendors and platforms
- Implement DevSecOps and evaluation frameworks
- Implement circuit breaker patterns
- Integrate AI back ends with secure event driven patterns
- Lead delivery for agentic AI capabilities
- Operate platform observability stack
- Perform code reviews and documentation
- Plan capacity and reliability requirements
- Run automated regression testing
Perks/Benefits
- Competitive vacation and holidays
- Employee networks
- Paid adoption leave
- Paid parental leave
- Paid time off
- Professional development opportunities
- Remote work options
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
AWS Bedrock | Alerting | Autogen | CI/CD | Configuration Management | CrewAI | DAST | DevSecOps | Docker | Docker Swarm | GitHub Actions | GitOps | Google Vertex | Google Vertex AI | Infrastructure as Code | JavaScript | Jenkins | Kubernetes | Kubernetes Service | Kubernetes Service Mesh | LLM | Langchain | Langgraph | Least Privilege | Lightning Web | Lightning Web Components | Logging | MCP | PGVector | Pinecone | Platform Events | Python | RAG | REST | SAST | SOAP | Salesforce Agentforce | Salesforce Apex | Secrets management | Semantic Kernel | Semantic Search | Service Mesh | Supply Chain | Supply chain security | Terraform | Tracing | Trunk-based | Trunk-based development | TypeScript | Vector Databases | Vertex AI | Weaviate | Web Components | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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