AI Full Stack Engineer
A USD 135K-215K (estimate) Mid-level Full Time
Tasks
- Add observability to pipelines
- Build AI executive assistant workflows
- Build RAG context pipeline
- Build dashboards for AI metrics
- Build multi agent content pipeline
- Classify inbound messages
- Debug classification errors
- Deploy and debug production systems
- Develop vector search and embeddings
- Enrich leads with product data
- Generate contextual responses
- Generate pre call intelligence briefs
- Generate reports and forecasts
- Implement AI scoring and qualification
- Implement content quality audit gates
- Implement human approval gates
- Improve RAG retrieval quality
- Integrate Slack operations
- Integrate real time tools in LLM pipelines
- Optimize LLM costs and performance
- Process RSS and social trends
- Run scheduled AI workflows
Perks/Benefits
- Competitive salary based on experience
- High-impact role
- Opportunity to scale AI systems
- Strong ownership
Skills/Tech-stack
API Integration | Agent systems | Asynchronous processing | Chunking | Cost Optimization | Database Indexing | Database migrations | Embeddings | LLM | Linux | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | OAuth | Observability | PostgreSQL | RAG | REST | React | SSH | Semantic Retrieval | Semantic Search | Slack API | Tracing | TypeScript | Vector Database | Webhooks
Education
N/A
Roles
AI | AI Full Stack Engineer | Engineer | Full Stack | Full Stack Engineer
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