AI Engineer (Agent Systems & LLM Platforms)
Tasks
- Build APIs and services for AI interaction
- Build multi-agent systems
- Create evaluation pipelines for AI outputs
- Design and build AI agents
- Design prompt strategies and guardrails
- Develop RAG pipelines
- Implement vector database retrieval
- Improve reliability latency and cost
- Monitor system performance and user interactions
- Optimize LLM integration
Perks/Benefits
- Continuous training
- Developmental feedback framework
- Family support
- Hybrid work
- Meal allowance
- Onboarding buddy
- Private health insurance
- Unlimited Udemy access
Skills/Tech-stack
APIs | Azure OpenAI | CI/CD | Containerization | Distributed Systems | Docker | Embeddings | Evaluation | Event Driven | Event-driven architecture | Guardrails | Information Retrieval | Kubernetes | LLM APIs | Language Models | Large Language Models | Microservices | OpenAI | Prompt engineering | Python | RAG | Ranking | Retrieval-Augmented Generation | Semantic Search | Similarity Search | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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