AI Developer
Tasks
- Apply responsible AI safety guardrails
- Build LLM-powered applications
- Build RAG pipelines
- Build scalable inference services
- Collaborate with product and design teams
- Conduct model experimentation and iteration
- Create AI microservices
- Design multi-agent workflows
- Develop end-to-end AI solutions
- Develop reusable AI libraries and APIs
- Enable model deployment monitoring and continuous improvement
- Implement evaluation metrics
- Implement predictive machine learning models
- Implement prompt strategies
- Integrate AI models with enterprise systems
- Manage LLM context
- Mentor developers and conduct code reviews
- Optimize model performance
- Orchestrate LLM workflows
- Sanitize inputs and filter content
- Stay current with emerging AI techniques
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent systems | Azure | CI/CD | Containers | Docker | Embeddings | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | LLM orchestration | Langchain | Llamaindex | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Serverless | TensorFlow | Vector Databases | Vector Stores
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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