Paradigm · 11 hours ago
Senior Applied AI Engineer
United States
Full-time
Remote
Senior Level
7+ years expParadigm is a software company transforming the way that the residential construction & building product industries operate across the globe. They are seeking a Senior Applied AI Engineer to design, deploy, and optimize AI systems that power next-generation construction workflows. The role involves building AI capabilities into production-ready features and collaborating with engineering teams to integrate these solutions into various applications.
CRMInformation TechnologyService IndustrySoftwareTransaction Processing
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Paradigm
Paradigm provides a software platform that focuses on the building products industry.
501-1000 employees
H1B Sponsorship
Paradigm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (4)
2023 (1)
2022 (1)
2021 (4)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2021-06-29Acquired
Leadership Team
L
Lyn Hartl
Founder/Owner
Recent News
2025-10-01
2025-07-08
Company data provided by crunchbase