Senior AI Engineer
Tasks
- Architect LLM applications
- Build and deploy AI agent systems
- Collaborate with data and product teams
- Define AI product roadmap
- Deploy production ready AI systems
- Design RAG pipelines
- Ensure privacy and ethical AI
- Establish feedback loops
- Implement model fine-tuning
- Integrate AI with REST APIs
- Monitor and evaluate model performance
- Optimize model context retrieval
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Azure | CI/CD | Context engineering | CrewAI | Embeddings | Fine Tuning | GCP | Go | Hugging Face | Inference Optimization | JAX | LLM | Langchain | Langfuse | Langgraph | Langsmith | LoRA | MLOps | Model Serving | Multi-Agent | Multi-Agent Systems | Observability | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
N/A
Roles
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