Principal/Senior Engineer (AI Systems)
Tasks
- Build multi agent orchestration frameworks
- Design and code RAG systems
- Develop prompt versioning and cost tracking
- Experiment with LLMs for retrieval and summarization
- Implement LLMOps pipelines
- Integrate AI workflows with backend services
- Mentor through code reviews
- Optimize performance and scalability
- Run LLM evaluation workflows
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Asynchronous programming | Autogen | Caching | Cost Tracking | CrewAI | Distributed Systems | Embeddings | Evaluation | Human Feedback | Hybrid search | LLMOps | Langchain | Langgraph | Learning from Human Feedback | Message Queues | Microservices | Prompt versioning | Python | RLAIF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Unstructured Data | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal Engineer | Senior Engineer
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