Senior AI Engineer
Tasks
- Build LLMOps infrastructure for monitoring and improvement
- Build and deploy Machine Learning and Deep Learning models
- Build backend services and AI APIs
- Deploy and operate models and services in customer environments
- Design and build agentic AI systems
- Develop LLM powered applications using RAG
- Implement guardrails and evaluation frameworks
- Run technical workshops and training sessions
- Serve as customer facing point of contact for AI solutions
- Triage and resolve technical customer support tickets
Perks/Benefits
Skills/Tech-stack
AWS | CI/CD | CloudWatch | Docker | EC2 | Fine Tuning | Fluentd | Grafana | Guardrails | Helm | Human-in-the-loop | IAM | Kubernetes | Langchain | Langfuse | Llamaindex | Log Aggregation | MTLS | Model Evaluation | Observability | Prometheus | Prompt engineering | PyTorch | Python | RAG | RBAC | REST API | S3 | Scikit-learn | TensorFlow | The Loop | VLLM | VPC
Education
N/A
Roles
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