Job Description: Overview
Scalemill (www.scalemill.com) helps technology companies increase revenue and reduce costs by setting up off-site inside sales, support and customer success teams that handle customer interactions. We exclusively work with B2B (Business-to-Business) SaaS (Software-as-a-Service) products and specialize in SaaS-trained SDRs who set up qualified meetings for product demos/pitches.
Role
As an AI Developer at Scalemill, you’ll design, build and deploy AI-driven solutions for our internal AI projects, including Scalemill GPT, Knowledge HUB, AI Academy and Scalemill Mock. You'll develop and integrate LLM-based models, NLP (Natural Language Processing) systems, knowledge bases and adaptive learning tools into scalable platforms, ensuring robust performance, automation and cloud deployment. You’ll work closely with the team to create intelligent, production-ready AI features that enhance employee knowledge, learning and skill development within Scalemill.
Keywords
Machine Learning, AI, LLM, Generative AI, NLP, Chatbots, Prompt Engineering, Semantic Search, SaaS AI Product, Multi-tenant, Cloud Deployment, Microservices, MLOps, CI/CD, Workflow Automation, LMS, Analytics
Timings
10 am to 7 pm
Type
Full-time
Reporting Line
Team Lead/Account Manager
Key Responsibilities
AI Development and Integration Ideate, design, develop and deploy AI solutions across all Scalemill AI initiatives, including Scalemill GPT, Knowledge HUB, AI Academy and Scalemill Mock
Build and integrate LLM-based models, NLP (Natural Language Processing) systems and AI-driven knowledge tools into Scalemill’s scalable B2B SaaS platforms
Prompt Engineering Craft and optimize prompts to guide AI models for accurate, relevant and actionable outputs
Ensure AI responses align with business needs, learning objectives and enterprise workflows
Knowledge and Data Management Develop and maintain knowledge bases, semantic search systems and knowledge graphs to support enterprise decision-making
Manage structured and unstructured data pipelines to ensure accurate, efficient and reliable AI outputs
E-Learning and Interactive AI Solutions Create adaptive learning modules, assessment automation and AI-powered training tools for the Scalemill AI Academy
Enhance user experience, engagement and learning outcomes through intelligent AI features
Deployment and MLOps Implement cloud deployment, CI/CD pipelines and MLOps practices for production-ready AI systems
Monitor, optimize and scale AI models to ensure high performance, reliability and business impact
Collaboration and Innovation Design and deliver AI solutions that are practical, user-friendly and impactful
Stay ahead of emerging AI technologies to continuously improve Scalemill’s AI products
Leadership and Collaboration Provide technical leadership and oversight for all Scalemill AI initiatives, ensuring alignment across projects
Collaborate with product, engineering and design teams to deliver practical, user-centric AI solutions
Drive innovation by staying ahead of emerging AI technologies, prompt engineering best practices, and industry trends
Skills Needed
Communication: excellent written and verbal communication skills are required Organization: superior organizational skills to manage multiple tasks and responsibilities effectively Time management: strong ability to prioritize tasks, manage time efficiently and work in a fast-paced environment Attention to detail: accuracy in handling tasks is critical
Persistence: comfortable with cold calls and initiating conversations in a high volume of outreach with consistency Technology Experience Needed
Basic technology: comfortable using computers, smartphones and common office software Productivity tools: proficient in Google Workspace (Gmail, Google Docs, Google Sheets, Google Slides) AI and machine learning: Large Language Models (LLMs), generative AI, NLP, deep learning, machine learning Programming and frameworks: Python, PyTorch, TensorFlow, Scikit-learn Knowledge and data management: knowledge bases, semantic search, knowledge graphs, ETL, structured and unstructured data B2B SaaS and deployment: multi-tenant SaaS, API development, microservices, cloud deployment (AWS, GCP, Azure) E-Learning and AI academy: LMS integration, adaptive learning, assessment automation MLOps and automation: model deployment, CI/CD, model monitoring, workflow automation Background
Bachelor’s degree
Fluent English (written and verbal) is essential
At least two years of proven experience in a related role
Welcome! I'm thrilled to dive into this prep session with you to get you fully ready for the AI Developer role at Scalemill. It's a highly technical and dynamic role where you'll be building intelligence right into the core of their B2B SaaS outreach and training platforms.
Before we unpack their internal products and look at the technical stack, I'd love to know a bit more about what you're hoping to get out of our time together today.
give me a cover letter for this JD
I'd be glad to help you put together a standout cover letter for the AI Developer role at Scalemill.
To make sure this matches your unique professional journey perfectly, I have drafted a custom document outlining a polished, high-converting cover letter layout tailored specifically to Scalemill's B2B SaaS outreach products like Scalemill GPT, Knowledge HUB, and AI Academy.
I've initiated the document generator to craft the full draft for you. It'll show you exactly how to frame your machine learning, API development, and MLOps background to catch the hiring manager's eye.