Full Stack AI Engineer (Staff level)
Tasks
- Assess technical feasibility of AI product ideas
- Build agentic workflows and multi agent orchestration
- Build production AI systems
- Build reusable frameworks
- Collaborate with research operations and data teams
- Create technical scoping documents
- Define technology stacks and engineering guidelines
- Design and implement RAG and vector store solutions
- Develop LLM powered applications with measurable outcomes
- Evaluate AI application effectiveness
- Implement human in the loop pipelines
- Implement semantic search solutions
- Iterate on AI product requirements
- Lead system design discussions
- Own software architecture decisions
- Prototype AI solutions and validate early signals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agentic Workflows | Context engineering | Distributed Systems | GCP | Human-in-the-loop | LLM Applications | Multi Model LLM | Multi-Agent | Multi-agent orchestration | Multi-model | Prototyping | Python | RAG Frameworks | Retrieval-Augmented Generation | Reusable frameworks | Semantic Search | Software Architecture | System design | Technical scoping | Technology stack | Technology stack design | Temporal | Terraform | The Loop | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer
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