AI Engineer
Tasks
- Build LLM applications and conversational systems
- Build and deploy scalable production AI pipelines
- Build context aware autonomous AI agents
- Design develop and deploy Generative AI solutions
- Develop RESTful APIs to serve AI models
- Experiment with machine learning algorithms and fine tune foundation models
- Optimize AI model performance
- Orchestrate multi-agent systems
- Preprocess and curate datasets for model training and testing
Perks/Benefits
- Disconnect week
- Flexible working hours
- Health insurance
- Learning budget
- MacBook
- Training and mentorship
Skills/Tech-stack
AI SDK | AWS | Accelerate | Autogen | Azure | Cloud platform | CrewAI | Dspy | FastAPI | Fine Tuning | Flask | Google AI | Google AI SDK | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Llamaindex | LoRA | Model Context Protocol | N8n | OpenAI SDK | PEFT | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Supabase | TensorFlow | Transformers | VLLM | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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