Senior AI/Machine Learning Engineer, Constrafor
$175-190k
+ Significant equity ownership within Constrafor
Office located in Hudson Yards, NY
Construction productivity software and financial services
Posted today
Construction productivity software and financial services
21-100 employees
Posted today
$175-190k
+ Significant equity ownership within Constrafor
Office located in Hudson Yards, NY
21-100 employees
Company mission
To set new standards of productivity and cost-efficiency for the construction industry through its productivity and financial services platform.
Role
Who you are
- 7+ years of professional experience in software engineering, data science, or machine learning roles
- Proven ability to design, deploy, and manage machine learning solutions in production; experience thriving in both large tech companies and fast-paced startup environments
- Extensive hands-on experience in natural language processing and large language models – you have built NLP/LLM-driven applications and integrated frameworks like LangChain with APIs from providers such as OpenAI, Anthropic, or Google Gemini
- Proficiency in Python and ML frameworks (e.g. TensorFlow or PyTorch); strong experience with cloud platforms (AWS and/or GCP) for developing and deploying AI solutions at scale
- Solid knowledge of data pipelines and retrieval-augmented generation (RAG) architectures, including working with vector databases or search technologies to augment LLM capabilities with external data
- Excellent problem-solving and communication skills, with a track record of technical leadership and mentorship in previous roles
- BS/MS in Computer Science, Engineering, or a related field (or equivalent practical experience). An advanced degree or research experience in AI/ML is a plus
- Experience with fintech, SaaS, or construction technology industries is a plus but not required
What the job involves
- We’re looking for an experienced and innovative Senior AI/LLM/ML Engineer to join our team and drive the development of next-generation AI-driven solutions
- Backed by top-tier investors and having grown 7x and then 3x over the past two years, Constrafor is scaling rapidly – this is your opportunity to help shape the future of a company on a rocket ship trajectory
- As a senior member of our engineering organization, you’ll spearhead critical initiatives in artificial intelligence and machine learning
- From building advanced data pipelines and agentic AI systems to deploying large language models in production, your work will be central to delivering smart, sustainable, and data-driven solutions for our users
- Design and implement advanced AI/LLM-driven data pipelines to power our platform’s intelligent features and services
- Build, maintain, and scale agentic retrieval-augmented generation (RAG) systems that deliver context-aware insights and automation for our users
- Integrate state-of-the-art large language models into Constrafor’s product workflows, enabling new capabilities in areas like document understanding, risk analysis, and process automation
- Collaborate closely with data engineers and backend teams to ensure robust, scalable pipelines for model training, evaluation, and real-time inference
- Optimize and tune model performance (e.g. prompt engineering, fine-tuning) to ensure high accuracy and efficient response times in production environments
- Work with cross-functional teams (Product, Engineering, Data) to identify AI opportunities and implement solutions that enhance user experience and operational efficiency
- Develop and enforce best practices for AI/ML development, including code quality, model governance, and MLOps deployment standards for reliable production systems
- Stay at the forefront of AI research and LLM advancements, prototyping innovative approaches and integrating relevant technologies into our platform
- Ensure the reliability, security, and scalability of AI solutions through rigorous testing, monitoring, and iterative improvement
- Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning in AI/ML across the team
Our take
Large construction projects take a long time to finish, and subcontractors can get caught up in the flow of money, waiting up to 80 days to be paid by general contractors. Such situations not only lead to project delays but also impose the burden of financing their project segments onto subcontractors. However, Constrafor has set out to change this through its SaaS construction procurement platform.
It streamlines information and documentation for how general contractors work with subcontractors and assumes the risk for the subcontractor invoice, freeing up cash flow. The general contractor then reimburses Constrafor for the invoice; its revenue is based on taking in about 2% of the value of the invoice.
Given that construction companies typically allocate less than 1.5% of their revenue to technology investments, Constrafor find itself in substantial demand, It stands out by offering tailored solutions, designed and developed on behalf of these companies. Bolstered by recent funding, secured through a SAFE note, Constrafor is poised to elevate its operations, effectively facilitating crucial functions like payroll management and other pivotal aspects of the construction process.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$14m
SERIES A
Apr 2023
$7.5m
EARLY VC
Total funding: $29.2m
Company benefits
- Equity Ownership: Opportunity for equity ownership in Constrafor
- Hybrid Work Schedule: M-W at our beautiful Hudson Yards office
- Comprehensive Benefits: Medical, dental, and vision insurance for you and your dependents
- Generous PTO: Generous paid time off plan
- Innovative Culture: A collaborative and innovative work environment that values your input
- Impactful Work: Opportunity to make a significant impact in a growing tech company
Company HQ
Midtown South, New York, NY
Leadership
Anwar Ghauche
(Co-Founder)Experience as Senior Consultant of Booz & Company from 2010 to 2013. Investment Analyst for QVT Financial LP from 2015 to 2018.
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