Full-Time

Staff Software Engineer

AI/ML

Confirmed live in the last 24 hours

Open Asset

Open Asset

51-200 employees

Digital asset management for AEC firms

Industrial & Manufacturing
Enterprise Software

Senior, Expert

No H1B Sponsorship

London, UK

In-office requirement of 2 days per week for local employees.

Category
Android Development
Backend Engineering
Embedded Engineering
FinTech Engineering
Frontend Engineering
Full-Stack Engineering
Game Engineering
IOS Development
Mobile Engineering
Web Development
Security Engineering
Software QA & Testing
Software Engineering
Required Skills
Agile
Python
Data Science
AWS
SCRUM
Requirements
  • 7+ years of experience in AI/ML engineering, including building and deploying machine learning models in production environments.
  • 3+ years of technical leadership experience, with a track record of guiding teams through complex AI/ML projects.
  • Expert proficiency in programming languages such as Python, with a focus on data engineering/science, machine learning, and MLOps workflows.
  • Deep understanding of AI/ML systems architecture, including experience with distributed systems and large-scale data pipelines.
  • Strong expertise in deploying and managing AI/ML models in cloud environments, with hands-on experience using AWS services such as Amazon Bedrock, SageMaker, and related tools.
  • In-depth knowledge of machine learning algorithms and frameworks, including experience with LLMs and fine-tuning pre-trained models.
  • Experience with microservices architecture and CI/CD pipelines for AI/ML model deployment, ensuring scalability, reusability, and testability.
  • Proven ability to mentor and guide engineers, fostering growth and technical excellence without formal direct reporting relationships.
  • Strong collaboration skills, working cross-functionally with Engineering, DevOps, and Product teams to deliver impactful AI/ML solutions.
  • Experience with Agile/Scrum methodologies, effectively managing sprints and delivering iterative improvements.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
Responsibilities
  • Lead the design, planning, estimation, and coordination of AI/ML initiatives across multiple releases, including model development, data pipelines, and deployment.
  • Take ownership of the entire lifecycle of AI/ML systems, from experimentation to production, ensuring timely and high-quality delivery.
  • Partner with Product and Engineering teams to integrate AI/ML capabilities into company-wide projects, addressing cross-functional challenges.
  • Collaborate with Product, Engineering, DevOps, and other teams to ensure seamless data flow, model deployment, and system integration.
  • Provide strategic technical guidance on AI/ML frameworks, tools, and best practices that align with the company’s goals.
  • Research and propose advanced machine learning techniques and cloud-native AI services, including LLMs and Amazon Bedrock, to enhance our capabilities.
  • Foster a collaborative environment by communicating effectively across technical and non-technical teams.
  • Mentor and guide team members through code reviews, technical coaching, and knowledge sharing, building a culture of continuous learning.
  • Proactively identify challenges in AI/ML workflows and propose innovative, scalable solutions.
  • Define and refine methods and procedures to optimize model performance, system efficiency, and team productivity.
  • Drive initiatives to improve model accuracy, scalability, and reliability while adhering to privacy, security, and compliance standards.
  • Take a leading role in addressing issues related to data quality, bias mitigation, and model interpretability with minimal oversight.
  • Ensure comprehensive documentation of models, algorithms, and system architecture to support team-wide knowledge sharing.
  • Maintain and enhance AI/ML playbooks and best practices to streamline onboarding and continuous improvement.

OpenAsset provides a Digital Asset Management platform tailored for architecture, engineering, and construction (AEC) firms. The platform organizes all digital files into a centralized and searchable database, allowing AEC teams to efficiently create high-quality proposals. Users benefit from an easy-to-navigate software interface that enhances project workflows and improves the quality of proposals, which helps firms secure more business. Unlike many competitors, OpenAsset focuses specifically on the needs of AEC firms, offering a subscription-based service that generates recurring revenue. The main goal of OpenAsset is to boost productivity and increase the success rates of proposals for its clients.

Company Stage

Growth Equity (Venture Capital)

Total Funding

N/A

Headquarters

New York City, New York

Founded

2002

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-1%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Integration with AI tools enhances searchability and categorization of digital assets.
  • Remote work trends increase demand for cloud-based solutions like OpenAsset.
  • Growing sustainability focus in AEC aligns with OpenAsset's project visualization capabilities.

What critics are saying

  • Increased competition in AEC-focused DAM market could erode OpenAsset's market share.
  • Rapid AI advancements may outpace OpenAsset's current capabilities without continuous innovation.
  • Economic downturns in construction could impact OpenAsset's subscription-based revenue model.

What makes Open Asset unique

  • OpenAsset focuses exclusively on the AEC industry, providing tailored DAM solutions.
  • The platform offers a centralized database for easy access to digital project files.
  • OpenAsset's intuitive interface enhances user experience and streamlines project workflows.

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