Staff Software Engineer, OpenAsset
AI/Machine Learning - Information Extraction
More information about location
Digital asset managment software
Be an early applicant
Digital asset managment software
21-100 employees
Be an early applicant
More information about location
21-100 employees
Company mission
To empower AEC and real estate firms to showcase their projects, sell with visualization, and win more businesses.
Role
Who you are
- 7+ years of experience in AI/ML engineering, including building, deploying and maintaining 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, Java or Rust, with a focus on data engineering/science, information extraction, machine learning, evaluation frameworks, agentic AI and LLMOps workflows
- Deep understanding of AI/ML systems architecture, including experience with agentic AI frameworks and orchestration patterns, 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, or alternatives in GCP (Vertex AI) or Azure (AI Studio) cloud
- In-depth knowledge of machine learning algorithms and frameworks, including experience with LLMs, AI agentic patterns, and fine-tuning pre-trained models
- Experience with microservices architecture and CI/CD pipelines / MLOps for AI/ML model deployment, ensuring scalability, reusability, and testability
- Experience with agentic AI coding and orchestration tools for software engineering, such as Claude Code, Codex, or similar
- 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
What the job involves
- Embark on an exciting journey as a Staff Software Engineer - AI/ML at OpenAsset, where you’ll play a pivotal role in shaping the future of AI/ML within our organization, and AI-enabled products we’re building to support the AEC industry
- In this hands-on technical role, you’ll not only drive the development of innovative machine learning models and AI-driven solutions, leveraging frontier LLM models, agentic coding orchestration tools such as Claude Code, platforms including AWS, Amazon Bedrock, and Google GCP Vertex AI, but also strengthen the AI/ML competency at OpenAsset
- You’ll help establish the team’s strategic vision, processes, and best practices. You’ll design and implement scalable, efficient, and maintainable AI/ML systems while setting the standard for excellence in model deployment, data pipeline optimization, and information extraction
- Beyond writing exceptional code, your leadership will be key in building a high-performing team, mentoring engineers, and tackling complex technical challenges
- If you’re passionate about AI and how to build AI-based products for customers, building products from the ground up, and delivering impactful solutions, we invite you to take on this foundational role. Join us to make a lasting impact on our products, our people, and the future of AI/ML at OpenAsset
- As a Staff Software Engineer - AI/ML, Information Extraction, your day-to-day activities will center on technical leadership, effective communication, and a hands-on approach to delivering innovative AI/ML solutions
- You’ll play a key role in shaping the success of the AI/ML team and driving impactful outcomes for the company
- Lead the design, planning, estimation, and coordination of AI/ML initiatives across multiple releases, including information extraction, 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, agentic workflows, 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 agentic coding practices, 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
- Technologies we use:
- Python, Rust, Java
- AWS, Amazon Bedrock, Sagemaker, Vertex AI
- Datadog, Databricks, MLFlow, Grafana, OTel
- Claude, Gemini, ChatGPT, open-weight LLM models
- Terraform, Docker, K8s
- RMDBs, Graph DBs, Vector DBs
- Claude Code
- Github (and Github actions)
Salary benchmarks
Our take
OpenAsset is a premier Digital Asset Management solution tailored specifically for the Architecture, Engineering and construction (AEC) sectors. With a track record spanning two decades and a diverse client base of 1,000+, OpenAsset is well-positioned to understand and cater to the unique challenges of these industries.
The problem it addresses is the acute need for an industry-specific solution that can effectively manage the digital assets crucial to AEC professionals. Traditional DAM systems often fall short in this regard, prompting OpenAsset's development to fill this significant gap. Its vision is not just to provide a platform but to inspire individuals through the visualization of the built world, an ambitious goal that sets them apart in the marketplace.
Marked by consistent growth, OpenAsset has strategically partnered with Marlin Equity Partners, a private equity firm, to enhance its sales, technical, and management capabilities. This collaboration is driven by the mounting demand for OpenAsset's B2B SaaS products. Alongside an ongoing focus on team expansion, positioning OpenAsset as a leader in addressing the distinctive needs of the AEC industries, ensuring its place at the forefront of specialized digital asset management.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Work-Life Balance
- Learning & Development Opportunities
- Paid Parental Leave
- Generous Vacation Policy
- 100% Emplpoyee Health Coverage (US)
- Hybrid and Remote Working Options
Company HQ
Midtown South, New York, NY
Leadership
Jason Janicki
(CEO)Jason joined OpenAsset in 2010 as a Senior Account Manager, since then they have been a VP of Customer Success, COO and now CEO. Previously, they spent nearly 4 years at CQ Roll Call Group as a Marketing Manager and Manager of Customer Communications and Training.
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