Lead Software Engineer - ML Engineer for Agent Platform
USD 170K-215K (estimate) Senior-level Full Time
Tasks
- Apply Software Development Life Cycle toolchain
- Automate remediation of recurring issues
- Build and deliver agent runtime platform components
- Build memory and retrieval systems
- Develop agent to agent communication integrations
- Drive AI-assisted engineering practices
- Establish validation standards secure coding peer review automated testing
- Implement evaluation harnesses for LLM agents
- Implement permission aware auditable agent execution
- Lead evaluation sessions with vendors and teams
- Lead secure agent execution and sandboxing
- Mentor engineers and lead communities of practice
- Review and debug peer code
- Write secure production code
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | Agent Orchestration | Agent systems | Application Resiliency | Automated testing | CI/CD | Cause analysis | Code review | Containers | Docker | Embeddings | Fine-Grained Authorization | Firecracker | GVisor | Graph RAG | Guardrails | Infrastructure as Code | Kata Containers | Kubernetes | LLM | LLM tracing | Language Models | Large Language Models | MCP | Machine Learning | MicroVMs | Model evaluations | Multi-Agent | Multi-Agent Systems | Policy Checks | Python | RAG | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Runtime Policy Checks | Runtime policy | Secure Coding | Terraform | Vector Databases | “as-code”
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | ML Engineer | Software Engineer
Regions
Countries
States
Cities
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