Lead Applied AI / GenAI Engineer
Tasks
- Build RAG pipelines
- Collaborate with platform and data teams
- Create reusable components frameworks and playbooks
- Deploy AI enabled workflows
- Design backend services and APIs
- Develop evaluation frameworks
- Implement retrieval prompting tool calling orchestration
- Integrate enterprise systems via APIs
- Measure retrieval accuracy latency failure modes
- Optimize AI system performance cost scalability reliability
- Prototype solutions with guardrails monitoring governance
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Backend Development | Embeddings | Evaluation Frameworks | Event Driven | Event-driven architecture | LLM Observability | Language Models | Large Language Models | Machine Learning | Orchestration | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Tool-Calling | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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