Senior AI Engineer/Research Scientist

*Apply here by filling out this Google Form. This is a mandatory step for you to qualify for this role.*

< https://forms.gle/T93F8BzrNzbEdSRj7>

About Us

We are Wyre AI - B2B Startup focused on revolutionizing preconstruction workflows using AI. Our team is composed of visionaries, researchers, and engineers dedicated to pushing the boundaries of AI to develop transformative solutions. Founded by a repeat founder who had previously built Pype and exited successfully to Autodesk. We are committed to using technology and innovation to disrupt the status quo and create the future.

About the Role

We’re looking for a Senior AI Engineer/Research Scientist to help build and scale the intelligence layer behind Wyre AI’s preconstruction platform. You’ll work at the intersection of Generative AI, document intelligence, retrieval, multimodal AI, and agentic systems, transforming complex construction drawings, specifications, scopes, and project data into connected, actionable intelligence.

This is a senior, hands-on role where you’ll combine research and experimentation with strong production engineering discipline. You’ll design and build production-grade LLM, RAG, multimodal, and agentic AI systems, explore advanced approaches such as GraphRAG, knowledge graphs, model fine-tuning, and intelligent retrieval, and take AI capabilities from early experimentation through scalable production deployment.

Key Responsibilities

· Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI.

· Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with the engineering team.

· Articulate and document solution architecture and lessons learned for each exploration and accelerated incubation.

· Serve as a liaison between stakeholders, delivering feedback and enabling team members to make necessary changes in product performance or presentation.

· Build production-grade LLM, RAG, multimodal, and agentic AI systems.

· Research and experiment with new models, architectures, retrieval techniques, and AI frameworks.

· Fine-tune and adapt foundation models using SFT, LoRA/PEFT, instruction tuning, and domain-specific datasets.

· Develop hybrid retrieval, reranking, GraphRAG, and knowledge graph-based reasoning.

· Build construction ontologies and extract entities, relationships, and dependencies from complex project data.

· Develop multimodal pipelines for drawings, specifications, schedules, tables, callouts, and technical documents.

· Build intelligent agents using tool calling, MCP, orchestration, and structured reasoning.

· Design robust evaluation frameworks for retrieval, extraction, hallucination, groundedness, and model quality.

· Experiment with prompting, embeddings, chunking, rerankers, model selection, and inference strategies.

· Improve AI system accuracy, latency, reliability, scalability, and cost.

· Take AI capabilities from research and prototype evaluation through production.

Required Skills & Qualifications

· 10+ years of software, ML, or AI engineering experience.

· Strong Python and software engineering fundamentals.

· Hands-on experience building production GenAI / LLM applications.

· Strong understanding of RAG, embeddings, vector search, hybrid search, and reranking.

· Experience with model fine-tuning, evaluation, and experimentation.

· Experience with LLM APIs and open-source models.

· Strong understanding of machine learning and deep learning fundamentals.

· Experience with backend systems, APIs, SQL, and data pipelines.

· Experience deploying AI systems on AWS or another major cloud.

· Ability to independently solve ambiguous, research-heavy AI problems.

Strong Plus

· Knowledge graphs, ontologies, or GraphRAG.

· Multimodal AI and computer vision.

· OCR and document intelligence.

· Agentic AI and MCP.

· Text-to-SQL.

· PyTorch, Hugging Face, PEFT/LoRA.

· OpenSearch / Elasticsearch.

· AWS, GCP, or Azure cloud services.

· Construction, BIM, estimating, or preconstruction experience.

Beyond Technical Skills – What We're Looking For

We're building more than just software. We're building a team that thrives in a fast-paced, high-ownership environment.

Startup Readiness & Ownership

· Bias for action: You move quickly, experiment, and iterate toward measurable outcomes.

· Comfort with ambiguity: You can create structure where processes do not yet exist.

· Ownership mindset: You take responsibility for outcomes, not just assigned tasks.

· Resourcefulness: You find practical solutions and know when to leverage existing tools versus building new solutions.

Business & Product Thinking

· User-centric mindset: You understand customer needs and translate complex AI capabilities into useful product outcomes.

· Technical and product curiosity: You care about how AI systems solve real construction and preconstruction problems.

· Strategic thinking: You can balance experimentation, accuracy, scalability, cost, and business impact.

Collaboration & Communication

· Comfortable working directly with founders and leadership teams.

· Able to explain complex AI and technical concepts to non-technical stakeholders.

· Strong written and verbal communication skills.

· Open to feedback and continuous improvement.

Growth Potential

· Fast learner who enjoys exploring new models, frameworks, and AI techniques.

· Excited by the opportunity to build foundational AI systems from the ground up.

· Interested in growing with a fast-scaling AI company and helping shape its AI engineering foundation.

Why Join Wyre AI?

· Shape the future of construction technology through Generative AI and intelligent automation.

· Build and scale production-grade LLM, RAG, multimodal, and agentic AI systems.

· Work on complex AI challenges involving construction drawings, specifications, schedules, and technical documents.

· Explore and apply advanced techniques such as GraphRAG, knowledge graphs, model fine-tuning, retrieval, and structured reasoning.

· Take AI capabilities from research and experimentation through production deployment.

· Influence the architecture and technical direction of AI systems at an early-stage company.

· Work closely with founders, engineering, and product teams on high-impact AI initiatives.

· Collaborate with experts across AI, construction, and cloud-native technology.

· Grow with a fast-scaling AI company while helping shape its AI engineering foundation.

How to Apply

Excited to build the future of AI-powered construction technology?

Just fill out this quick form < https://forms.gle/T93F8BzrNzbEdSRj7> to tell us about your experience and skills — it won't take long!

We'll review your information and get in touch if it's a good match.