Agentic-Workflow MLE
San Francisco, California, United States
USD 250K-350K Mid-level Full Time
Tasks
- Build and manage Knowledge Graphs
- Build and operate multi-agent systems
- Build and tune LLM agents
- Build deploy and debug code agents
- Create personalized recommendation agents
- Design and optimize prompts
- Develop and deploy vector database retrieval systems
- Develop retrieval-augmented generation systems
- Enable autonomous decision making agents
- Evaluate technologies and guide build buy decisions
- Generate content with AI agents
- Implement semantic search pipelines
- Integrate knowledge graphs with LLM retrieval and reasoning
- Optimize machine learning models for low latency
- Orchestrate multi-step workflows
- Perform data transformation and analysis
Perks/Benefits
- Company sponsored long term disability insurance
- Company-sponsored life insurance
- End-to-end project ownership
- FSA HSA benefits
- Flexible PTO
- Professional development allowance
- Remote work stipend
- Wellness benefits
Skills/Tech-stack
AWS | Agent Orchestration | Apache Spark | Big Data | Cloud Computing | Codex | CrewAI | Embeddings | Entity Extraction | Go | Graph | Graph retrieval | High Throughput | Hugging Face | Java | Knowledge graphs | Kubernetes | Langchain | Language Models | Large Language Models | Low Latency | Microservices | Neo4j | Neptune | Ontology Design | Open Source | Pinecone | Prompt engineering | PyTorch | Python | RAG | REST API | Retrieval-Augmented Generation | Scala | Semantic Search | Text-to-SQL | Vector Databases | Weaviate | Workflow automation
Education
N/A
Regions
Countries
States
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