Abnormal AI is seeking to accelerate the adoption and impact of AI tools across the organization, transforming how teams operate and driving measurable outcomes with AI.
Requirements
- Proficient in Python with experience using AI/ML libraries and frameworks such as (LangChain, Hugging Face, Transformers, Scikit-learn, TensorFlow, PyTorch)
- Hands-on experience configuring and deploying AI tools through APIs, SDKs, or SaaS platforms
- Experience with LLM APIs (e.g., OpenAI) and tools like (Google AI Studio, AWS Bedrock, Similar AI platforms)
- Working knowledge of data privacy, security, and compliance best practices in AI implementation
- Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks) and how AI connects to data workflows
- Experience with prompt engineering and prompt optimization for generative AI tools
- Familiarity with MLOps practices (e.g., Docker, Git, CI/CD, monitoring)
Responsibilities
- Design and implement AI tools, workflows, and integrations that empower key business functions like Sales, Marketing, and Customer Success
- Engage directly with stakeholders to assess needs and map AI capabilities to real process improvements
- Develop and deploy tools that drive efficiency and impact, including coding, configuration, and optimizing tool usage
- Collaborate across internal teams—AI/ML, IT, and data—to ensure solutions are secure, scalable, and compliant
- Support enablement efforts by creating documentation and best practices to support broader adoption
- Monitor usage metrics and iterate based on insights
- Stay up to date with emerging AI platforms and evaluate their fit for the business
Other
- 3–4 years of experience in technical solution development, AI/ML applications, or IT systems enablement
- A Master’s degree in Machine Learning, AI, or a related field may substitute for some experience
- Fantastic communication and documentation skills for user training and stakeholder interaction
- Experience in collaborating with various teams, such as marketing and business operations
- Ability to work in a high-growth or startup environment
