Lead AI Engineer
Tasks
- Build LLM based applications with RAG
- Build data pipelines for structured and unstructured datasets
- Deploy monitor and maintain AI systems in production
- Design AI ready data lake architecture
- Design develop and deploy AI powered features
- Develop AI orchestration workflows and AI agents
- Develop scalable AI services and APIs
- Implement CI/CD pipelines for model deployment
- Implement embeddings pipelines and vector search
- Integrate external APIs and AI services
- Mentor junior AI engineers and support technical teams
- Optimize model output quality and safety guardrails
- Prototype and validate new AI concepts
Perks/Benefits
Skills/Tech-stack
AI Agents | AIOps | API Development | AWS | CI/CD | Cloud Computing | Cloud platform | Data Lake | Data Lake Architecture | Data Pipelines | Docker | Embeddings | Generative AI | Google Cloud | Google Cloud Platform | Image analytics | LLM orchestration | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Multimodal AI | NoSQL | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Vector Databases | Vector Search | Video Analytics
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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