AI Engineer
GH Office: Tysons Corner, VA (Headquarters), United States
USD 98K-163K Mid-level Full Time
Tasks
- Build AI applications and services
- Build vector indexes and embeddings
- Configure secrets and observability
- Create agentic workflows
- Create technical documentation and runbooks
- Deploy microservices using containers
- Develop retrieval-augmented generation pipelines
- Follow responsible AI practices and security compliance
- Implement CI/CD and Infrastructure as Code
- Implement data and ML pipelines
- Integrate LLM capabilities into applications
- Package and serve models via APIs
- Provision and maintain cloud AI platforms
- Test and deploy AI applications
- Troubleshoot production systems
Perks/Benefits
- 401k retirement plan
- Adoption Assistance
- Basic Life and Supplemental Life
- Company-Paid Holidays
- Corporate sponsored events and community outreach
- Dental & vision insurance
- Emergency back-up childcare program
- Employee referral program
- Flexible spending accounts
- Health insurance
- Health savings account
- Long-term disability
- Mobility stipend
- Parental leave
- Personal Development and Learning Opportunities
- Personal and Family Sick Time
- Short-term disability
- Student loan paydown
- Tuition reimbursement
Skills/Tech-stack
AWS | AWS Lambda | Agentic Workflows | Azure | Azure Functions | CI/CD | Cloud Functions | Databricks | Deep learning | Docker | Embeddings | Fine Tuning | Function Calling | Generative AI | Git | Google Cloud | Google Cloud Functions | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Logging | Machine Learning | Metrics | Microservices | Observability | Palantir | Prompt engineering | Prompt orchestration) | Python | REST APIs | Retrieval-Augmented Generation | Secrets management | Terraform | Tool-Calling | Tracing | Vector Databases | “as-code”
Education
Roles
AI | AI Engineer | Engineer
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