Technology and Data - Specialty Software Engineer 4 - Contingent

High-availability and fault-tolerant system design. Databases & Vector Search .

Specialty Software Engineer 4
Location: San Francisco, CA – Hybrid (preferred days are Monday, Wednesday, and Thursday, with flexibility)
Interview In-person interviews required 
 
Details:
Required Experience
• Python: 5+ years
• Microservices: 5+ years
• API Development/Integration: 5+ years
• MongoDB: 5+ years
• Agentic AI: 2+ years preferred
 
Core Technical Skills
• Python software engineering
• REST API development
• Microservices architecture
• Distributed systems design
• Backend service development
• FastAPI
• AsyncIO
• Multiprocessing
• Performance tuning and profiling
• Caching strategies
• Database/query optimization
• Event-driven architecture
• High-availability and fault-tolerant system design

Generative AI / LLM Skills
• Generative AI application development
• Large Language Models
• Agentic AI systems
• Multi-agent workflow design
• Retrieval-Augmented Generation
• Hybrid RAG architectures
• Knowledge graph–enhanced RAG
• Prompt engineering
• Prompt orchestration
• Tool calling
• LLM routing and fallback strategies
• Fine-tuning evaluation
• Model evaluation frameworks
• Hallucination detection
• Human-in-the-loop validation
• Text-to-SQL using LLMs
• Schema-aware prompting
• Embeddings and semantic search

AI Platform & Architecture Skills
• Enterprise AI platform architecture
• Scalable AI workflow design
• AI governance standards
• AI guardrails implementation
• Responsible AI controls
• PII redaction
• Audit logging
• Model usage monitoring
• Latency, cost, and accuracy optimization
• AI/ML feature engineering
• Recommendation systems
• Feedback loops for model improvement

Data Engineering Skills
• Kafka
• Streaming data pipelines

Databases & Vector Search
• Vector database architecture
• Semantic retrieval
• Re-ranking
• Embedding pipelines