Senior Gen AI Engineer
Tasks
- Build RAG pipelines
- Build scalable GenAI microservices
- Create architecture diagrams
- Create proof of concept solutions
- Deploy GenAI solutions to production
- Design AI agents
- Design and architect LLM based solutions
- Develop data ingestion and knowledge base refresh processes
- Develop embeddings and evaluation frameworks
- Develop model risk and cost evaluation
- Document data sources and templates
- Ensure compliance with enterprise security standards
- Evaluate open source and commercial models
- Implement quality controls and continuous improvement
- Implement safety guardrails
- Integrate GenAI microservices with internal systems
- Maintain data pipelines for RAG
- Perform fine tuning for LLMs
- Perform prompt engineering
- Prepare training datasets and knowledge bases
- Present model performance and insights
- Track tasks using JIRA
Perks/Benefits
Skills/Tech-stack
AI Safety | Agent Design | Anthropic | Azure | Azure OpenAI | Cloud Native | Cloud-native Architectures | Data Ingestion | Data Modeling | Data Pipelines | Embeddings | Fine Tuning | Jira | Knowledge bases | Language Models | Large Language Models | Llama | Microservices | Model Evaluation | NoSQL | OpenAI | Power BI | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Tableau | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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