Founder AI ML Engineer
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Monthly Salary:
Experience Required:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
This is a founding AI / ML engineer role at Ultra-Ops.
Ultra-Ops operates today as an existing construction operations company providing human-delivered services to real construction businesses. The company is now rapidly transitioning those proven human workflows into AI-augmented and AI-automated systems.
This role is not research-only and not experimental. You will be building production AI systems inside a live business with existing customers active revenue and ongoing discussions with angel investors and VCs. Speed of execution matters.
As a founding engineer you will work directly with the founder to:
Define the AI roadmap and technical architecture
Decide what to build vs. buy
Translate operational pain points into deployable AI systems
Move quickly from prototype to production
You will have meaningful influence over:
Model and tooling selection
Data strategy and pipelines
System architecture and integrations
Future AI hiring and team direction
This is a builder role for someone who wants ownership autonomy and a direct hand in shaping both the product and the company. There are two technical people in the company - this is a phenomenal time to be the third.
Requirements
The primary responsibility is to design and implement AI modules for construction operations starting with the following focus areas.
Blueprint Ingestion & Understanding:
Build systems to ingest construction blueprints and plan sets (PDFs)
Apply OCR and document parsing to extract structured data
Support layout understanding annotations and metadata extraction
Produce outputs usable by downstream systems (CRM proposals takeoffs)
Employee Productivity & Internal AI Tools:
Develop AI tools that assist individual employees with email drafting summarization and response generation
Ground outputs in CRM data operational history and internal knowledge
Integrate AI assistance directly into daily workflows
Product Manuals & Technical Intelligence:
Build AI systems that ingest product manuals spec sheets and technical documentation
Enable accurate question-answering and knowledge retrieval
Support outputs for internal tools websites webpages and customer-facing chatbots
Implement retrieval-augmented generation (RAG) or equivalent architectures
Core Technical Skills:
Strong Python experience
Hands-on experience with modern ML / AI frameworks (e.g. PyTorch transformers)
Experience with OCR NLP or document-processing pipelines
Familiarity with LLMs embeddings vector databases and RAG systems
Ability to design APIs and integrate AI into production systems
Engineering Mindset:
Comfortable working with real-world imperfect data
Ability to move from prototype to production quickly
Experience integrating AI into existing software stacks
Understanding of iteration monitoring and improvement in live systems
Nice to Have:
Experience with construction AEC or blueprint data
Front-end or product integration experience
Exposure to MLOps or model deployment
Interest in mentoring junior engineers as the team grows
Founder Expectations:
Comfort operating with ambiguity
Bias toward execution and delivery
Willingness to prioritize speed over polish
Desire to build a company not just a codebase
This is a founding technical role for someone who wants to build real AI systems that replace and enhance human workflows in construction operations inside a company with customers revenue and investor momentum already underway.
Required Skills:
The primary responsibility is to design and implement AI modules for construction operations starting with the following focus areas. Blueprint Ingestion & Understanding: Build systems to ingest construction blueprints and plan sets (PDFs) Apply OCR and document parsing to extract structured data Support layout understanding annotations and metadata extraction Produce outputs usable by downstream systems (CRM proposals takeoffs) Employee Productivity & Internal AI Tools: Develop AI tools that assist individual employees with email drafting summarization and response generation Ground outputs in CRM data operational history and internal knowledge Integrate AI assistance directly into daily workflows Product Manuals & Technical Intelligence: Build AI systems that ingest product manuals spec sheets and technical documentation Enable accurate question-answering and knowledge retrieval Support outputs for internal tools websites webpages and customer-facing chatbots Implement retrieval-augmented generation (RAG) or equivalent architectures Core Technical Skills: Strong Python experience Hands-on experience with modern ML / AI frameworks (e.g. PyTorch transformers) Experience with OCR NLP or document-processing pipelines Familiarity with LLMs embeddings vector databases and RAG systems Ability to design APIs and integrate AI into production systems Engineering Mindset: Comfortable working with real-world imperfect data Ability to move from prototype to production quickly Experience integrating AI into existing software stacks Understanding of iteration monitoring and improvement in live systems Nice to Have: Experience with construction AEC or blueprint data Front-end or product integration experience Exposure to MLOps or model deployment Interest in mentoring junior engineers as the team grows Founder Expectations: Comfort operating with ambiguity Bias toward execution and delivery Willingness to prioritize speed over polish Desire to build a company not just a codebase This is a founding technical role for someone who wants to build real AI systems that replace and enhance human workflows in construction operations inside a company with customers revenue and investor momentum already underway.
Company Industry
IT Services and IT Consulting
Key Skills
- Data Analytics
- AI
- Conversion Optimization
- Lean
- R
- Regression Analysis
- Acquisition Strategy
- HubSpot
- Email Marketing
- Product Management
- Knife Skills
- Internet Of Things
