GenAI Engineer
Arlington/Rosslyn, Virginia, United States
USD 116K-210K (estimate) Entry-level Full Time
Tasks
- Benchmark and evaluate prompt engineering
- Collaborate with data architects to integrate sources with AI models
- Conduct code reviews ensure code quality
- Deliver chatbots knowledge bases and agentic workflows
- Design model guardrails and performance
- Develop APIs and interfaces
- Develop and optimize LLM prompts
- Develop reusable automation components
- Ensure Responsible AI documentation and requirements
- Evaluate and select foundational models
- Implement RAG architectures
- Implement prompt strategies for targeted cases
- Mitigate bias in prompt generation
- Perform data analysis and feature engineering
- Troubleshoot and design GenAI components for platform tenants
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Agentic Workflows | Amazon Web Services | CI/CD | Cohere | Data Analysis | Feature Engineering | GDAL | Gensim | Git | Google Gemini | Graph Data | JSON | Keras | Knowledge bases | Language Models | Large Language Models | Machine Learning | Matplotlib | NLTK | NumPy | Object-Oriented | Object-oriented programming | OpenAI | OpenCV | Pandas | Plotly | Prompt Libraries | Prompt engineering | PyTorch | Python | RAG | Requests | Retrieval-Augmented Generation | SciPy | Scikit-learn | Spacy | TensorFlow | Urllib3 | Vector Stores | Web Services | XML
Education
Regions
Countries
States
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