Senior Machine Learning Engineer

Techifide • New York, NY

5d • Hybrid

About The Position

Build AI that transforms one of the world's largest industries. 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.

Requirements

• 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 Haves

• Experience working within construction, engineering or other document-intensive industries.

Responsibilities

• 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.

Benefits

• Competitive salary with equity options.
• Comprehensive medical, dental and vision cover.
• Learning and professional development budget.
• Flexible remote and hybrid working arrangements.
• Unlimited annual leave because we value sustainable, long-term performance.
• Regular company meet-ups and team retreats.
• A collaborative environment where your ideas genuinely influence the direction of the product and engineering organisation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed