Lead AI Engineer (Full-Stack)
Tasks
- Build production grade LLM systems
- Create evaluation pipelines and guardrails for AI systems
- Design AI infrastructure and model orchestration
- Develop agent architectures and workflow automation
- Develop reusable AI building blocks and internal tooling
- Experiment evaluate and iterate on AI solutions
- Implement retrieval augmented generation using retrieval systems
- Integrate AI into product features
- Monitor AI workflows and ensure observability
- Write testable maintainable scalable code
Perks/Benefits
Skills/Tech-stack
Agent architecture | Autonomous Agents | Embeddings | Event Driven | Event-driven architecture | JavaScript | LLM Evaluation | MCP | Model Context Protocol | Next.js | Node.js | Observability | PostgreSQL | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Serverless | Structured prompting | Test-Driven | Test-Driven Development | Transformer | TypeScript | Vector Database | Vercel | Workflow Orchestration
Education
N/A
Roles
AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Lead | Lead AI Engineer
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