Paradigm is a software company transforming the way that the residential construction & building product industries operate across the globe. We are looking for a Senior Applied AI Engineer to be part of revolutionizing these industries.

The Senior Applied AI Engineer will design, deploy, and optimize AI systems that power next-generation construction workflows. In this role, you’ll build the bridge between machine learning models and real-world applications—using?LLMs, computer vision, retrieval systems, and agentic orchestration?to automate key steps in the homebuilding process such as?plan interpretation, takeoffs, estimating, and specification matching.?

This role blends?hands-on engineering, AI system design, and integration with enterprise platforms—turning AI capabilities into production-ready features that builders, designers, and estimators can rely on daily.?

What You Will Do:

• Build and deploy?advanced agentic AI systems?that combine large language models, computer vision, and rules-based logic to automate construction workflows.

• Implement?and optimize retrieval-augmented generation (RAG)?pipelines to connect LLMs with real-time project data, specifications, and plan sets.

• Integrate AI models into production services and APIs for use in design, estimating, and procurement applications.

• Fine-tune and adapt pre-trained models for domain-specific tasks such as plan understanding, entity extraction, and bill-of-material generation.

• Evaluate and refine model accuracy, reasoning quality, and cost efficiency?through Evals, zero/few-shot tests, Chain-of-Thought reasoning analysis, and LLM-as-a-judge evaluation techniques.

• Optimize inference performance and ensure system reliability in live environments.

• Work closely with data engineers to structure, index, and prepare complex multimodal datasets (text, CAD/BIM files, images) for AI consumption.

• Implement and refine robust data pipelines for training, validation, and feedback loops to continuously improve performance.

• Ensure reproducibility, observability, and version control across model artifacts and pipelines.

• Collaborate with product and software engineering teams to embed AI outputs into digital platforms, ERP systems, and supplier integrations.

• Build robust APIs and SDKs that make AI features accessible to design and estimating applications.

• Ensure security, compliance, and data integrity across integrations.

• Partner with Applied ML Engineers and Software Engineers to move from prototype to production in fast, iterative cycles.

• Participate in internal experiments and perform evaluations and model improvement efforts.

• Stay current with emerging AI frameworks, agentic orchestration techniques, and developer tools and apply where appropriate.

• Support the growth of less experienced team members by mentoring, assisting with training, and acting as a resource.

What You Need to Succeed:

• Bachelor’s or Master’s degree?in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred.

• 7+ years of experience designing, building, and deploying?AI or ML-powered systems in production, with recent hands-on work applying LLMs or agentic architectures.

• Hands-on experience with?LLMs, retrieval-augmented generation (RAG) pipelines, and multimodal models from providers such as?OpenAI, Anthropic, or Hugging Face.

• Highly skilled in Python?and at least one major ML framework (PyTorch,?TensorFlow).

• Knowledge of agentic orchestration frameworks?(e.g.,?LangGraph,?Temporal,?n8n, or similar) to design multi-step, tool-using AI systems.

• Experience deploying and integrating AI models using?enterprise AI platforms?such as?Azure AI Foundry, AWS Bedrock, or Google Vertex AI.

• Working knowledge of?retrieval systems, vector databases, and semantic search?for contextual grounding.

• Advanced understanding of?prompt engineering, model evaluation, and cost/performance optimization?for large-scale inference.

• Exceptional problem-solving skills, curiosity, and a collaborative mindset.

• Exposure to?construction or design automation?workflows is preferred.?

• Experience working with?plan files, CAD/BIM data, or digital twin systems is preferred.?

• Background in?evaluation-driven AI development, including?zero/few-shot testing,?Chain-of-Thought reasoning, and?LLM-as-a-judge?validation is preferred.?

• Familiarity with?data labeling, feedback loops, and fine-tuning?to improve domain-specific accuracy is preferred.?

• Familiarity with?agent performance metrics and lifecycle management?across production environments?is preferred.

Ready to Join? Apply now! MyParadigm.com/careers/
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