Forward Deployed AI Engineer
Tasks
- Apply LLM as a judge
- Build data hydration pipelines
- Create evaluation suites
- Deliver agentic systems end to end
- Design agentic architecture
- Develop verification and guardrails
- Embed governance and compliance
- Harvest reusable harness components
- Implement semantic layer
- Maintain client relationships
- Manage releases to verification bar
- Map client workflow and data
- Orchestrate agent workflows
- Partner on architecture guidance
- Perform post hoc audits
- Run preflight checks
- Scope ambiguous work
- Set runtime guardrails
- Tie technical decisions to business outcomes
Perks/Benefits
- Flexible working arrangements
- Home office expense allowance
- MuleSoft certifications paid
- Paid parental leave
- Project management certifications paid
- Salesforce certifications paid
- Study leave
- Work from anywhere
Skills/Tech-stack
AWS Bedrock | Apex | CI/CD | Cloud platform | Evals | Google Cloud | Google Cloud Platform | Guardrails | LLM | LLM Evaluation | Lightning Web | Lightning Web Components | MLOps | OWASP GenAI | Observability | Orchestration | Python | Salesforce Agentforce | Salesforce Apex | Semantic layer | TypeScript | Web Components
Education
N/A
Regions
Countries
States
Cities
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