AI Full Stack Engineer - KS001
USD 160K-225K (estimate) Mid-level Full Time
Tasks
- Add observability to AI pipelines
- Add tool use for real time data
- Automate lead qualification with AI scoring
- Build AI communication pipelines
- Build RAG system pipelines
- Build content quality pipeline with multi agent workflow
- Build dashboards for AI metrics and usage
- Build scheduling workflows
- Classify inbound messages
- Debug classification errors
- Develop semantic search API
- Generate audit reports
- Generate contextual responses with enrichment data
- Generate reports and forecasts
- Implement human approval gates
- Implement quality gates with citations
- Implement vector database with embeddings
- Improve RAG retrieval quality
- Integrate external APIs
- Optimize LLM costs and performance
- Perform email triage and follow ups
- Process RSS feeds and social trends
- Run scheduled autonomous jobs
- Set up Slack operations workflows
- Transform enrichment data into pre call briefs
Perks/Benefits
Skills/Tech-stack
Ads API | Agent systems | Anthropic Claude | Cost monitoring | Embeddings | Google Ads | Google Ads API | LLM Observability | LinkedIn Ads | LinkedIn Ads API | Linux | Meta Ads | Meta Ads API | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | OAuth | OpenAI | PostgreSQL | RAG | REST API | RSS Feeds | React | Retrieval-Augmented Generation | SSH | Semantic Search | Slack API | Tracing | TypeScript | Vector Database | Web Crawling | Webhooks
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Learning Engineer | Machine Learning Engineer
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