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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** Capital6, LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Mining, Distributed Systems, Graph Database, Information Extraction, Python (Programming Language), Machine Learning, Natural Language Processing, Parsing, Recommender Systems, Software Engineering, Large Language Models, Multi-Agent Systems, Deep Learning, Indexer, AI Platforms, Kubernetes, Production Code, Data Analytics, Machine Learning Operations - **Published:** August 23, 2026 - **Apply:** https://www.careerjet.com/jobad/us3be2f084675e89b0acb7bb41b7131690 ## About the Role We're looking for someone who enjoys solving difficult engineering problems and turning research into reliable production systems. You'll ideally have: * 7+ years' experience designing, building and deploying production-grade machine learning or AI systems. * A proven ability to lead technically challenging projects with significant business impact. * Strong experience building LLM-powered applications, AI agents or orchestration frameworks. * Deep knowledge of document processing pipelines, including parsing, chunking, indexing and structured information extraction. * Experience working with distributed systems such as Kubernetes. * Knowledge of knowledge graphs, provenance graphs or similar graph-based data models. Experience in one or more of the following areas: * Search and ranking systems * Natural Language Processing (NLP) * Recommendation systems * Large-scale ML infrastructure * Strong software engineering skills in Python, Go or similar languages. * An analytical mindset with a strong focus on delivering value through data-driven decisions. Nice to have * Experience working within construction, engineering or other document-intensive industries. ## Description We're looking for a Senior II Machine Learning Engineer to help shape the future of AI in construction. You'll join a fast-growing technology company using advanced machine learning, large language models and intelligent automation to solve complex, real-world challenges across a multi-trillion-pound global industry. This is an opportunity to work on production AI systems at scale, collaborating with a highly experienced engineering team to build products that have a measurable impact on how major construction projects are delivered. What you'll be doing * Own and develop key components of our AI platform, including search, retrieval and multi-agent orchestration. * Lead the design and implementation of multi-agent architectures, defining how specialist agents interact to solve complex tasks. * Design, build and optimise large-scale document processing pipelines, covering ingestion, parsing, chunking, indexing and structured data extraction. * Improve search and retrieval capabilities through ranking, query understanding and AI-powered question answering based on real customer needs. * Expand and maintain knowledge graph capabilities, modelling relationships between entities to improve reasoning and retrieval. * Take ownership of high-impact projects from concept through to production, balancing experimentation with practical delivery. * Develop evaluation frameworks and experimentation processes to measure model performance and continuously improve quality. * Write clean, scalable, production-ready code while promoting engineering best practices across the team. ## Related Videos - [LLMs in the wild: Building an AI agent that survives production](https://www.wearedevelopers.com/videos/100319-llms-in-the-wild-building-an-ai-agent-that-survives-production) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Building a Compiler with C#](https://www.wearedevelopers.com/videos/116-building-a-compiler-with-c) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)