Lead Software Engineer - Applied AI ML Lead
Palo Alto, CA, United States
USD 170K-195K (estimate) Senior-level Full Time
Tasks
- Apply MLOps best practices CI CD deployment monitoring observability
- Build RAG summarization extraction systems
- Build cloud native data ingestion and processing pipelines
- Build predictive prescriptive capacity models
- Create prompt engineering assets routing strategies guardrails
- Define success metrics governance with stakeholders
- Design develop and productionize GenAI agentic AI solutions
- Design, develop, and troubleshoot software
- Drive team adoption of AI assisted engineering practices
- Engineer backend services REST APIs microservices
- Establish validation standards secure coding peer review automated testing
- Execute software solutions
- Implement automated human in the loop evaluation
- Lead vendor evaluation sessions for architectures and technologies
- Mentor engineers
- Own and govern end to end AI ML optimization strategy
- Own infrastructure capacity optimization
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Automated testing | Benchmarking | CI/CD | Cause analysis | Containerization | Data Ingestion | Data Processing | Deployment | Distributed Systems | Docker | Guardrails | Human-in-the-loop | Human-in-the-loop evaluation | Incident root-cause analysis | Java | Kubernetes | LLM | MLOps | Microservices | Monitoring | Observability | Prompt engineering | Python | RAG | REST APIs | Root Cause Analysis | Routing strategies | Secure SDLC | Versioning
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
Regions
Countries
States
Cities
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