AI Lead Engineer
Tasks
- Build RAG pipelines
- Deploy models for inference
- Design and optimize prompts
- Ensure scalable secure compliant AI use
- Evaluate and monitor model performance
- Fine tune open models
- Integrate LLMs into production applications
- Integrate vector databases
- Package and deploy AI models
Perks/Benefits
- Development courses
- Employee assistance program
- Flexible working
- Learning opportunities
- Medical and life insurance
- Retirement savings
- Time off
- Volunteering leave
Skills/Tech-stack
AWS | Ansible | Azure | CI/CD | Docker | Docker Swarm | Hugging Face | Java | Jenkins | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | MLOps | Model Deployment | Model Evaluation | Observability | OpenAI API | PEFT | Prompt engineering | Python | QLoRA | RAG | REST APIs | Spring | Spring Cloud | Transformers | Vector Databases | Vector Search | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Application Engineer | AI Lead | AI Lead Engineer | Application Engineer | Engineer | Lead Engineer
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