Full Stack AI Engineer Manager
SGD 85K-138K (estimate) Mid-level Full Time
Tasks
- Architect and deliver agentic AI solutions end to end
- Build and maintain MCP servers and tool layers
- Build evaluation and AgentOps pipelines
- Conduct client workshops and translate requirements
- Define evaluation frameworks and production observability
- Design agent harnesses and orchestration topologies
- Develop value hypotheses and baseline metrics
- Establish DevOps AgentOps and LLMOps practices
- Establish prompt architecture standards
- Facilitate continuous improvement and knowledge sharing
- Implement Text-to-SQL
- Implement knowledge layer components with RAG
- Implement trust safety and governance guardrails
- Integrate Elasticsearch and knowledge graphs
- Lead agile workstream delivery and manage technical risk
- Manage engineering teams and run code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS Lambda | AgentOps | Angular | Audit Logging | Autogen | Azure | B testing | CI/CD | Cloud platform | CrewAI | Deployment Strategies | DevOps | Distributed tracing | Docker | Elasticsearch | FinOps | Golden Dataset | Google Cloud | Google Cloud Platform | Guardrails | Infrastructure as Code | Injection Defense | Integration Testing | JavaScript | Knowledge graphs | Kubernetes | LLM orchestration | LLM-as-judge | LLMOps | Langgraph | Language Models | Large Language Models | MCP | Node.js | PII Redaction | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | React | Terraform | Text-to-SQL | Unit Testing | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Engineering | Engineering Manager | Full Stack | Full Stack Engineer | Manager
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