AI Engineer

Your Responsibilities

• Collaborate closely with our team as we productize new AI-powered capabilities: such as AI proposal writing & search experiences.
• Evaluate the performance of AI models (we will work with models from OpenAI, Anthropic, Gemini) & systems through rigorous testing and experimentation.
• Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
• Implement strong testing and CI/CD practices that help us move with confidence in our AI system development

⭐️ Is this you?

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• High level of coding proficiency using Python
• 5+ years of professional experience in software engineering, AI/ML development including:
• Proficiency with production software (Python) and systems design
• Machine learning algorithms and model development techniques
• ML lifecycle tools like MLflow, dvc, weights & biases
• Cloud deployment of ML systems
• Professional experience with LLMs and large-scale models
• Very strong software engineering skillx with a track record of building scalable, distributed product machine learning systems
• Strong analytical and problem-solving skills
• Ability to communicate complex ideas and concepts effectively
• Ability to work independently and collaboratively
• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• High level of coding proficiency using Python
• 5+ years of professional experience in software engineering, AI/ML development including:
• Proficiency with production software (Python) and systems design
• Machine learning algorithms and model development techniques
• ML lifecycle tools like MLflow, dvc, weights & biases
• Cloud deployment of ML systems
• Professional experience with LLMs and large-scale models

Preferred Skills:

• Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc
• Depth of knowledge with RAG implementation and improvements