Forward Deployed AI Engineer
Tasks
- Architect build deploy and operate agentic generative AI systems
- Communicate technical details to technical and non technical stakeholders
- Create reusable mission deployment tools frameworks and playbooks
- Deploy and operate Kubernetes applications in secure environments
- Design APIs data processing ETL pipelines and integration layers
- Embed with customers to define problems and requirements
- Implement retrieval augmented generation and context engineering
- Manage solution roadmaps trade off speed quality and scope
- Prototype and deploy solutions using delivery service patterns
- Scope sequence and lead solution delivery removing blockers early
- Work across cloud on prem and edge air gapped environments
Perks/Benefits
- 401k
- Conference attendance
- Dental insurance
- Disability insurance
- Flexible time off
- Health insurance
- Home office budget
- Life insurance
- Paid parental leave
- Stock options
- Training reimbursement
- Vision insurance
Skills/Tech-stack
API Design | AWS | Air-gapped | Air-gapped environments | Azure | Cloud Computing | Cloud platform | Context engineering | Continuous Delivery | Continuous integration | Data Pipelines | Document chunking | Document parsing | ETL | Fine Tuning | Generative AI | GitOps | Google Cloud | Google Cloud Platform | Helm | Inference frameworks | Infrastructure as Code | Integration | Keyword search | Kubernetes | Kustomize | Language Models | Large Language Models | Model Evaluation | NoSQL | Open Source | Open-source Models | Pulumi | Python | Retrieval-Augmented Generation | SQL | Structured Output | Terraform | TypeScript | Vector Search | “as-code”
Education
N/A
Roles
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