Senior Applied AI Engineer
USA - Georgia - Alpharetta - 30005, United States
USD 129K-185K (estimate) Senior-level Full Time
Tasks
- Build NLP pipelines
- Build scalable data pipelines and feature stores
- Collaborate with SRE leads on reliability practices
- Create and maintain technical documentation
- Define and monitor SLA SLO SLIs
- Design and scale LLM powered applications
- Develop ML inference infrastructure
- Develop NLU models intent classification and dialogue management flows
- Drive architecture decisions for product features and continuous improvements
- Ensure compliance with secure software development guidelines
- Evaluate and recommend AI frameworks and cloud services
- Implement cloud native distributed microservices architectures
- Integrate contact center AI with CRM ticketing and workforce management via APIs
- Lead end to end design of AI systems
- Lead sprint planning and retrospectives
- Present technical information to stakeholders
- Troubleshoot and resolve production and customer issues
Perks/Benefits
Skills/Tech-stack
APIs | Apache Airflow | Apache Beam | Artificial Intelligence | BigQuery | Bigtable | CI/CD | Cloud Native | Cloud Storage | Composer | Conversational AI | Data Pipelines | Dataflow | DevSecOps | Dialogue Management | Documentations | Event Driven | Event-driven architecture | Feature Store | FinOps | GCP SDKs | GKE | Google Cloud | Google Cloud Storage | Helm Charts | Infrastructure as Code | Intent Classification | Java | Jenkins | Kubernetes | LLM Inference | Language Models | Language Processing | Large Language Models | Machine Learning | Microservices | NLP Pipelines | NLU | Natural Language | Natural Language Processing | PubSub | Quality Engineering | REST APIs | Reliability Engineering | SLA | SLI | SLO | Site Reliability | Site Reliability Engineering | Spring Boot | Terraform | Virtual Agents | “as-code”
Education
Regions
Countries
States
Cities
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