AI Engineer
USD 50K-112K Entry-level Full Time
Tasks
- Apply prompt engineering and LLM fine tuning
- Build and orchestrate AI agent workflows
- Build data pipelines for AI model deployment
- Create LLM evaluation and testing frameworks
- Design AI systems to generate actionable insights
- Develop and deploy neural networks
- Develop generative AI applications with LLMs
- Develop open source AI solutions
- Develop scalable machine learning models
- Implement context engineering and memory for AI agents
- Implement natural language processing for text analytics
- Implement structured output validation and retry logic
- Integrate data from multiple sources
- Manage data quality and AI infrastructure
- Optimize open weight language models for deployment
- Perform data analysis for patterns and trends
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Adversarial Benchmarking | Data Wrangling | Data pipeline | Deep learning | Fine Tuning | Generative AI | LLM Evaluation | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Model routing | NLTK | Natural Language | Natural Language Processing | Neural Networks | Output Validation | Prompt engineering | Python | Quantization | Regression testing | Scikit-learn | Sentiment Analysis | Structured Output | Structured output validation | TensorFlow
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer
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