Staff Software Engineer - AI/ML - Information Extraction

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.

Project Ownership

• 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.

Cross-Team Collaboration

• 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.

Technical Leadership

• 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.

Communication and Mentorship

• 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.

Strategic Problem Solving

• 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.

Model Performance, Reliability, and Compliance

• 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.

Documentation and Knowledge Sharing

• 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.

Do you have experience in Machine learning?, Do you have a Master's degree?, * 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.

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)

• Competitive salary
• 25 paid vacation days
• 8 bank holidays
• 5 paid sick days
• SSP
• Work from home flexibility
• Paid parental leave
• Pension program
• Bike storage/shower facilities in building
• Career growth and development opportunities

This position is not eligible for visa sponsorship., * Bereavement leave

• Company pension
• Cycle to work scheme
• Enhanced maternity leave
• Enhanced paternity leave
• Referral programme
• Sick pay
• Work from home

OpenAsset is the leading marketing platform for the Architecture, Construction, and Engineering industries, trusted by 1,000+ clients over 20 years. Our mission is to be the most innovative partner to AEC firms, delivering solutions that help win more projects. Last year we launched - world-leading AI product for AEC marketers to help them speed-up manual and repetitive tasks of analysing ('shredding') RFPs and drafting high-quality compliant proposals grounded in the rich organisational knowledge of their firms. We're a diverse, collaborative, and fast-growing team of 100+ employees with offices in New York and London and a global client base. Backed by Marlin Equity Partners, we're passionate about creating an inclusive workplace where everyone feels valued and has a voice, and we actively hire from a diverse pool of candidates., 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.