Company Description
ProjectMark is an all-in-one CRM and proposal platform built specifically for the construction industry. We provide companies with all the tools necessary to win the next job – industry specific pipeline & contact management, a digital asset library for proposal integration
Role Description
We're looking for an AI/ML Engineer to build the next generation of AI tooling on top of our CRM platform at ProjectMark. You'll play a critical role in designing intelligent agents and workflows that enhance how construction professionals manage their work, relationships, and data. From intelligent opportunity scoring to auto-completing forms and surfacing insights, you'll help us bring powerful, purpose-built AI into our customers' daily experience.
We are seeking a highly motivated candidate who is enthusiastic about diving into new challenges. The ideal candidate will have a strong work ethic, be ready to invest the necessary hours, and be fully dedicated to contributing to the success of the team. If you're passionate about solving meaningful problems and eager to make an impact, we warmly invite you to join us at ProjectMark. Your drive and commitment will be valued and celebrated as we build something extraordinary together.
Responsibilities
- Must have strong software engineering skills and deep backend experience
- Design, develop, and deploy machine learning models—both LLMs and smaller task-specific models—to power intelligent features within the ProjectMark CRM
- Build agentic workflows that automate internal tasks and enhance user productivity through contextual decision-making
- Fine-tune, train, and evaluate models on proprietary datasets, applying methods like LoRA, PEFT, or instruction tuning where appropriate
- Architect retrieval-augmented generation (RAG) systems using vector databases and embedding models for dynamic context injection
- Implement intelligent agents using prompt chaining, memory systems, and external tool integrations
- Develop and maintain backend services and APIs in Node.js and Python that support AI-driven features
- Collaborate cross-functionally with Product, Engineering, and Customer Success to uncover impactful AI use cases across the platform
- Ensure scalability, security, and reliability of deployed ML systems within our broader infrastructure
- Continuously monitor, evaluate, and optimize model performance using telemetry and user feedback
- Stay current with advancements in machine learning, agent frameworks, and model training techniques—bringing fresh ideas into production
- Contribute to the long-term AI roadmap, helping shape strategy while driving hands-on implementation
Requirements
- 8+ years in backend/software engineering and 3+ years of applied machine learning experience
- Strong experience developing scalable backend systems in JavaScript (Node.js) and Python
- Proven experience training and fine-tuning machine learning models, not limited to LLMs
- Solid understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, and overfitting/underfitting
- Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Experience working with domain-specific datasets to train or adapt models to unique contexts
- Familiarity with transformer-based models, embeddings, and techniques like LoRA, PEFT, and instruction tuning
- Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding pipelines
- Knowledge of agentic design principles, including autonomous/multi-agent workflows and tool use
- Ability to build and maintain robust ML and backend infrastructure (e.g., training pipelines, inference services, backend endpoints)
- Bonus: Exposure to MLOps, model deployment, or building internal tooling for AI/ML teams