Senior Machine Learning Engineer

Techifide Ltd; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible remote and hybrid working Arr

Unlimited annual leave

Regular company meet‑ups and team reti

Job summary

Techifide Ltd in the United States is seeking a Senior II Machine Learning Engineer to shape AI in construction. You will join a fast-growing team building production AI systems, ML models and intelligent automation to transform a multi-trillion‑pound global industry.

You will own components of our AI platform, lead multi-agent architectures, and design scalable document processing pipelines. Expect to work with Kubernetes, knowledge graphs and end-to-end system ownership from concept to

Qualifications

• 7+ years' experience designing, building and deploying production‑grade ML/AI systems.
• 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.

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.

Skills

Python/Go programming

LLM-powered apps

Production-grade ML systems

Data-driven decisions

Distributed systems

Tools

Kubernetes

Knowledge graphs

Job description

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

Permanent role / USA

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.

About you

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
• 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.

What you’ll receive

• Competitive salary with equity options.
• 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.

If you're passionate about building production AI systems, enjoy working on technically demanding problems and want to help redefine how a global industry operates, we'd love to hear from you.