AI Solution Engineer

Abnormal AI is seeking a well-rounded AI Solutions Engineer to join our technology team, focused on accelerating the adoption and impact of AI tools across our organization. In this role, you will serve as a key contributor to the  technical development of AI-powered tools and platforms —designing, building, and deploying solutions that transform how our teams operate.. You will be hands-on with coding, system integration, and model implementation, while also deeply involved with stakeholders to identify high-impact opportunities for AI adoption.

This is a high-velocity, high-visibility role for someone who is customer-obsessed, technologically fluent, and motivated to drive measurable outcomes with AI.  This role is fully remote accepting applications from candidates in the United States and Canada.

An engineer with a passion for building impactful, real-world solutions.  Someone who thrives at the intersection of technology, communication, and innovation who's comfortable working across both technical and non-technical domains. you bring fantastic communication skills and a systems-thinking mindset to every challenge. You have hands-on experience with AI tools, development frameworks, APIs, automation, and you’re always exploring emerging technologies with curiosity and enthusiasm. From ideation to production, you’re confident architecting and implementing end-to-end AI solutions that solve real business problems. You navigate ambiguity with ease, translating complex requirements into elegant, scalable systems, and you take pride in helping others adopt new tools through training and support. A proactive teammate, you can take ownership of your work, iterate quickly, and know when progress today is more valuable than perfection tomorrow. Detail-oriented but never losing sight of the bigger picture, you balance technical excellence with business impact—always focused on solutions that matter.

In this role, you’ll design and implement AI tools, workflows, and integrations that empower key business functions like Sales, Marketing, and Customer Success. You'll engage directly with stakeholders to assess needs and map AI capabilities to real process improvements. Whether building custom solutions or leveraging third-party platforms, you’ll be hands-on in developing and deploying tools that drive efficiency and impact. This includes coding, configuration, and optimizing tool usage. You’ll collaborate across internal teams—AI/ML, IT, and data—to ensure solutions are secure, scalable, and compliant. You’ll also support enablement efforts by creating documentation and best practices to support broader adoption. Monitoring usage metrics and iterating based on insights will be key to your success. Staying up to date with emerging AI platforms and evaluating their fit for the business will round out your responsibilities.

• 3–4 years of experience in technical solution development, AI/ML applications, or IT systems enablement

• Proficient in Python with experience using AI/ML libraries and frameworks such as (LangChain, Hugging Face, Transformers, Scikit-learn, TensorFlow, PyTorch)
• Skilled at translating business requirements into technical solutions and delivering AI projects from ideation to production
• Hands-on experience configuring and deploying AI tools through APIs, SDKs, or SaaS platforms
• Ability to assess business challenges and recommend effective AI-driven solutions
• Experience with LLM APIs (e.g., OpenAI) and tools like (Google AI Studio, AWS Bedrock, Similar AI platforms)
• Fantastic communication and documentation skills for user training and stakeholder interaction
• Experience in collaborating with various teams, such as marketing and business operations.
• Working knowledge of data privacy, security, and compliance best practices in AI implementation

• Experience in a high-growth or startup environment.
• Prior experience deploying AI chatbots, copilots, or automation tools to support business functions.
• 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.
• Exposure to IT service management or agile project management practices.
• Familiarity with MLOps practices (e.g., Docker, Git, CI/CD, monitoring).
• Familiarity with other programming languages (SQL, JavaScript, etc.)

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