AI Software Engineer Level 3 or 4 (AHT)
Tasks
- Build Docker containerized applications
- Build agentic workflows
- Collaborate in Scrum or Kanban teams
- Conduct A/B testing
- Conduct code reviews and static analysis
- Configure large language models
- Design and run experiments
- Develop machine learning models
- Engineer prompts
- Implement Linux scripting
- Monitor model performance and drift detection
- Optimize model training
- Perform hypothesis testing
- Produce technical documentation
- Refactor and test code
- Serve machine learning models
- Troubleshoot data pipelines
- Use Git branching and pull request workflow
- Validate model outputs
- Write production Python code
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Agile | Bash | CI/CD | Code review | Data Pipelines | Design Patterns | Docker | Documentation | FastAPI | Flask | GRPC | Git | GitHub Actions | GitLab CI | Kanban | Language Models | Large Language Models | Linux | MLflow | Machine Learning | Model Registry | Model Serving | Model Training | MongoDB | MySQL | NoSQL | NumPy | ONNX Runtime | Pandas | PostgreSQL | Prompt engineering | PyTorch | Python | Redis | Reinforcement Learning | SQL | Scrum | Static Analysis | Statistical modeling | Supervised Learning | Test-Driven | Test-Driven Development | Torchserve | Unsupervised Learning | Weights and Biases
Education
Roles
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