Senior AI Engineer
Tasks
- Build React based chat interfaces and dashboards
- Build reusable scalable AI services
- Deploy cloud native AI services on GCP and Azure
- Deploy monitor and improve agents and models in production
- Design multi-agent & autonomous systems
- Drive code reviews architecture reviews and engineer mentoring
- Implement RAG pipelines and retrieval evaluation
- Implement guardrails for hallucination prompt injection and PII
- Train fine tune and evaluate ML and DL models
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Search | AI vector search | Agents SDK | Argo Workflows | ArgoCD | Arize Phoenix | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Blue/green | Blue/green deployments | CI/CD | Canary deployments | Docker | Embeddings | Experiment tracking | GRPC | GitHub Actions | Grafana | Hugging Face | Hybrid search | IaC | JavaScript | Kubernetes | Langchain | Langfuse | Langgraph | Langsmith | LoRA | MLflow | Milvus | Model Registry | New Relic | OpenAI Agents | OpenAI Agents SDK | OpenTelemetry | PEFT | PGVector | Pinecone | PyTorch | Pydantic | Python | QLoRA | RAG | REST | SQL | Temporal | TensorFlow | Terraform | TypeScript | Vector Database | Vector Search | Vertex AI | Vertex AI Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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