Jr. AI Developer

Job Title: Junior AI Developer

Location: Remote

Job Type: Full-time

ServiceChannel is the leading cloud-based service automation platform for facilities management. We empower businesses to source procure manage and pay for repair and maintenance services through a single unified platform. Our mission is to simplify operations and deliver exceptional customer experiences through innovation and technology.

We are seeking a motivated and adaptable Junior AI Developer to support the hands-on development and integration of Machine Learning (ML) and Generative AI (GenAI) capabilities within the ServiceChannel platform. This is a foundational role designed to scale the execution of in-flight AI initiatives while building internal expertise for ongoing innovation.

As a Junior AI Developer you will work under the guidance of senior architects and engineers to prototype test and refine intelligent product features. You will contribute to model development collaborate with Data Engineering on AI data readiness and support data-driven product ideationincluding analysis to inform pricing and packaging strategies.

This role is essential to sustaining momentum on current AI initiatives while creating flexible capacity to support future product opportunities.

• Model Development & Integration: Support the development testing and deployment of ML/GenAI models for product features like proposal scoring document summarization and intelligent routing.
• Data Engineering Collaboration: Partner with Data Engineering teams to scope and execute ingestion transformation and labeling tasks that prepare datasets for AI workloads.
• Product Ideation Support: Analyze customer usage data and platform signals to uncover new AI opportunities and provide input on feature feasibility and design.
• Pricing & Packaging Insights: Conduct data analysis on AI feature adoption usage patterns and outcomes to inform value-based packaging and monetization strategies.
• Experimentation & Evaluation: Build POCs run evaluation frameworks and benchmark model performance across tasks in support of iterative agile development cycles.
• Platform Support: Assist with implementation testing and QA across dev environments to support production readiness and ongoing model monitoring.

• Bachelors degree in Computer Science Data Science Engineering or a related field or equivalent hands-on experience.
• 13 years of experience working on AI/ML projects with exposure to model development data preparation and experimentation workflows.
• Familiarity with ML and GenAI frameworks such as PyTorch TensorFlow Hugging Face or OpenAI APIs.
• Some experience working with structured and unstructured datasets (e.g. tabular data text JSON).
• Proficiency in Python and version control (e.g. Git); comfort with Jupyter VSCode or similar environments.
• Curiosity about GenAI retrieval-augmented generation (RAG) and product applications of AI in SaaS platforms.
• Strong analytical and communication skills; ability to translate business problems into actionable data tasks.