LLM Dev Analyst
Tasks
- Automate A B testing analysis
- Automate MarTech campaign operations
- Automate data engineering workflows and monitoring
- Automate marketing performance reporting and optimization
- Build pipelines with PySpark and SQL
- Collaborate with data engineering analytics marketing and product teams
- Design and optimize prompts and agent workflows
- Design build deploy LLM agents for business domains
- Develop evaluation frameworks for agent quality and reliability
- Develop multi step reasoning agents with tool integration
- Implement RAG architectures
- Implement guardrails security controls and governance frameworks
- Implement hallucination reduction strategies
- Integrate agents into Databricks lakehouse architecture
- Integrate agents with data warehouses event streams and APIs
- Optimize scalability latency and cost efficiency
- Productionize agent systems with monitoring logging and observability
Perks/Benefits
- Birthday off
- Dental insurance
- Flexible work hours
- Free coffee
- Free fruit
- Full remote option
- Game room
- Nursery vouchers
- Paid vacation
- Private health insurance
- Psychological services
- Remote option
- Rooftop terrace
- Snacks
- Ticket restaurant
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Causal Inference | Databricks | Docker | Governance | Guardrails | Hugging Face | Kubernetes | Langchain | Langfuse | Language Models | Large Language Models | Llamaindex | Logging | MLOps | Marketing Analytics | Monitoring | Observability | Prompt engineering | PySpark | Python | Retrieval-Augmented Generation | SQL | Security | VLLM | Vector Databases
Education
N/A
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