Senior Software Engineer ( Generative AI Developer, AI-Powered Code Developer)

Essential Duties and Responsibilities: 

• Review and provide feedback on designs. 

• Takes ownership of the design and development of features within their component. 

• Recognizes and practically solves for anti-patterns. 

• Good understanding of how his/her work aligns with high-level use cases and team deliverables. 

• Define (more than a feature, less than a product) a component that fits into an architecture. 

• Describe and defend design decisions for components owned by the team. 

• Optimize software design to leverage platform capabilities. 

• Acts as the technical subject matter expert for a product domain. 

• Quantify and communicate work estimates and risks to direct management 

• Handle multiple competing priorities with minimal help 

• Understand features as a whole and able to break down larger stories and features into tasks 

• Familiar with most of the technologies we focus on and what markets they target 

• Takes ownership of customer issues and effectively communicate with Support/SEs to resolve field questions/issues 

• Discuss with customers what larger concerns and problems they are trying to solve, over and above the immediate technical concerns 

• Willingness to teach and grow junior team members 

• Excellent listening skills 

• Effectively works within the team and across teams 

• Ensures all tasks are completed thoroughly and that any work done is tested, unit tested, documented, and ready for customers 

• Takes identified problems and concerns and create a plan to fix the problem and prevent it from occurring again 

• Follows through on all tasks 

• Reliably delivers expected work products and outcomes 

• Imparts a sense of urgency on junior team members 

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Required Qualifications:  

• 8+ years of software engineering experience 

• Programming Expertise: Strong proficiency in at least one major programming language (e.g., Python, Java, C++, JavaScript) and understanding of software design principles.

• Machine Learning Knowledge: Deep understanding of machine learning concepts, including deep learning architectures, neural networks, and natural language processing (NLP) techniques.

• AI Frameworks: Familiarity with popular AI frameworks like OpenAI Codex,  Github Copilot, Codeium, TensorFlow, PyTorch, or Hugging Face for model development and training.

• Software Development Practices: Understanding of software development methodologies, version control systems (like Git), and best practices for code quality.

• Problem-Solving Skills: Ability to analyze complex problems, identify potential issues with generated code, and propose solutions to improve the model's output.

Preferred Qualifications: 

• Writes code faster than the average developer. 

• Outstanding quality with few bugs in generated code.