Senior Full Stack AI Engineer (Rapid Prototyping & Analytics )
Tasks
- Build evaluation and monitoring metrics
- Build internal AI tools
- Create human-in-the-loop workflows
- Design end-to-end AI systems
- Develop rapid proofs-of-concept
- Harden prototypes into reliable systems
- Implement LLM guardrails
- Implement observability for AI systems
- Lead AI projects from ideation to production
- Optimize LLM pipelines using retrieval augmented generation
- Partner with stakeholders to define success criteria
- Train and develop junior engineers
Perks/Benefits
- 401k
- Commuter benefits
- Company paid family and medical leave
- Company paid life insurance
- Company-paid disability insurance
- Company-sponsored lunches
- Digital fitness class subscription
- Discounted pet insurance
- FSA/DCA
- Flexible PTO
- Medical, dental, and vision insurance
- Potential equity compensation
- Recovery suite
- Remote/hybrid environment
- Wellness content
Skills/Tech-stack
AWS | Accuracy benchmarking | Amazon EC2 | Amazon RDS | Amazon S3 | Cost Optimization | Docker | Evaluation | Human-in-the-loop | Hybrid search | Language Models | Large Language Models | Latency optimization | Monitoring | Observability | Programmatic Prompt Optimization | Prompt Optimization | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Structured Output | The Loop | Vector Search
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack Engineer | Senior AI Engineer | Stack Engineer
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