Job summary
Job post source
This job is directly from AIAEC International
Job overview
The Senior Software Engineer AI/ML at AIAEC International will develop AI-native tools for real estate and construction, impacting how cities grow and developments proceed.
Responsibilities and impact
The role involves designing backend and AI system architecture, building scalable APIs and data pipelines, integrating third-party LLMs, extracting and validating municipal data, collaborating with product teams, and shipping maintainable code.
Experience and skills
Candidates need 5+ years in software engineering, experience with ML or LLM production systems, proficiency in Python or TypeScript, familiarity with prompt engineering and vector databases, and strong system design skills; geospatial or real estate experience is a bonus.
Career development
The position offers significant impact on platform architecture and direction, real ownership in an early-stage startup, and collaboration with a knowledgeable, ambitious team.
Work environment and culture
The company values urgency and care in solving complex problems, fostering a tight-knit and ambitious team environment with deep domain expertise.
Company information
AIAEC International builds AI-native tools to streamline zoning, permitting, and site feasibility in real estate development and construction.
Team overview
The candidate will join a small, ambitious team with deep domain and product expertise focused on real estate and urban development challenges.
Unique job features
The role offers the chance to work on cutting-edge AI systems that directly influence urban development and to build from the ground up in a startup setting.
Company overview
AIAEC International develops advanced tools that automate site-specific zoning analysis, entitlement workflows, and code interpretation for the architecture, engineering, and construction (AEC) industry. The company leverages agentic artificial intelligence to streamline traditionally complex and time-consuming regulatory processes, aiming to redefine how building projects are initiated and managed. Their business model likely centers on providing these automation solutions to AEC professionals, enabling faster project approvals and improved compliance. Leadership includes Joseph Phillips, who serves as VP of Product and focuses on integrating AI-driven innovation into the company's offerings. AIAEC International positions itself at the intersection of technology and the built environment, targeting efficiency gains for industry stakeholders.
How to land this job
Tailor your resume to highlight your experience in building and scaling ML or AI-powered production systems, emphasizing proficiency in Python and TypeScript as well as your knowledge of prompt engineering, embeddings, and RAG pipelines.
Focus on showcasing your skills in designing scalable APIs, backend architecture, and working with vector databases like Pinecone or Weaviate, aligning with the job’s technical requirements.
Apply through multiple channels including AIAEC International’s corporate careers page and LinkedIn to maximize your application’s visibility and chances of being noticed.
Connect with current engineers or product team members at AIAEC International on LinkedIn; open conversations with ice breakers such as commenting on their recent projects involving AI in real estate or asking about their experience working on municipal data pipelines.
Optimize your resume for ATS by incorporating key terms from the job description like 'ML-powered systems', 'LLMs', 'vector databases', 'API development', and 'prompt engineering' to ensure it passes automated screenings.
Use Jennie Johnson’s Power Apply feature to automate tailored applications across multiple platforms and identify LinkedIn contacts to network with, freeing up your time to prepare for interviews and deepen your knowledge of the company.
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