Senior Lead Software Engineer - ML Engineer for Agent Platform
USD 166K-186K (estimate) Senior-level Full Time
Tasks
- Build model context protocol tooling
- Create evaluation infrastructure for agents
- Debug and troubleshoot distributed systems
- Define permission aware auditable execution model
- Design secure execution and isolation
- Develop memory layer
- Drive adoption of AI assisted engineering tools
- Establish secure coding and automated testing practices
- Implement agent to agent communication
- Implement authorization and runtime policy
- Improve platform operational stability by automating remediation
- Lead evaluations with vendors and internal teams
- Mentor engineering leaders and engineers
- Own end to end architecture for agent runtime
- Set code and design standards
- Write and review production code
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
Agile | Automated testing | CI/CD | Cause analysis | Code review | Containerization | Development Life Cycle | Distributed Systems | Docker | Embeddings | Firecracker | GVisor | Go | Graph RAG | Incident root-cause analysis | Infrastructure as Code | Kata Containers | Kubernetes | LLM | Language Models | Large Language Models | Machine Learning | Microservices | OPA | OpenFGA | Python | RAG | Rego | Retrieval-Augmented Generation | Root Cause Analysis | Rust | Sandboxing | Security | Software Development Life Cycle | Software development | Terraform | Vector Databases | “as-code”
Education
N/A
Regions
Countries
States
Cities
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