AI Developer / Product SME
Tasks
- Advise stakeholders on AI capabilities, risks, opportunities
- Collaborate with LLMOps on deployment, monitoring, optimization, lifecycle management
- Conduct technical reviews and validate solutions
- Contribute to AI & Data Practice growth
- Develop accelerators, design patterns, best practices, and training
- Guide prompt engineering, context management, document processing, system safety
- Lead creation of AI components and frameworks
- Mentor engineers and address complex AI challenges
- Partner with product teams on AI features and workflows
- Provide expertise on LLMs, embedding models, fine-tuning, agents, RAG architectures
- Represent company as AI thought leader
- Serve as technical expert for AI system design and implementation
- Stay current with emerging AI technologies
Perks/Benefits
Skills/Tech-stack
AI Governance | AI frameworks | APIs | AWS | Agents | Azure | Cloud Platforms | Communication | Embeddings | Evaluation methods | Fine Tuning | GCP | Hugging Face | Hugging Face Transformers | LLM integration | Langchain | Leadership | Llamaindex | Mentoring | Microservices | Multimodal workflows | PyTorch | Retrieval Pipelines | Safety frameworks | Scalability | TensorFlow
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