AI Engineer

Location: Remote (United States, Eastern or Central time zones preferred)

Travel: Approximately 10-20% travel for client meetings and team collaboration

Compensation: Base salary range of $160,000-$185,000

A technology consulting organisation is seeking a senior AI engineering leader to design, develop, and deploy large-scale AI applications for enterprise clients. This role is suited to an experienced engineer who enjoys owning end-to-end solution architecture, guiding technical direction, and delivering production-ready AI systems with a focus on scalability, security, reliability, and operational excellence. The successful candidate will work across generative AI, agent-based architectures, cloud-native platforms, and machine learning systems while collaborating with engineering teams and client stakeholders.

• Architect and implement advanced AI solutions, including agent-based systems, reasoning workflows, tool integration, and multi-agent environments.
• Design and optimise Retrieval-Augmented Generation (RAG) platforms leveraging embeddings, vector databases, search, ranking, and knowledge retrieval strategies.
• Build and integrate cloud-based AI applications using managed services, serverless technologies, event-driven architectures, APIs, and data platforms.
• Establish evaluation, monitoring, observability, and testing frameworks for production LLM applications.
• Develop backend services and APIs using modern programming languages and cloud-native design patterns.
• Lead technical architecture discussions and provide guidance to engineering teams across AI initiatives.
• Mentor developers and contribute to engineering best practices, standards, and solution design reviews.
• Improve system resilience through fault-tolerant architectures, monitoring, fallback strategies, and operational excellence practices.
• Partner with business and technical stakeholders to deliver scalable AI solutions aligned with client objectives.

• 5+ years of software engineering experience with demonstrated success delivering production AI, machine learning, or generative AI solutions.
• Strong experience building agentic AI systems, LLM orchestration frameworks, tool/function calling, and RAG architectures.
• Deep expertise with AWS services, including:
  • Amazon Bedrock
  • Sage Maker
  • Lambda
  • DynamoDB
  • S3
  • Event-driven services and workflow orchestration technologies
• Proficiency in Python and Node.js, including API development and cloud-native application design.
• Experience implementing AI observability, evaluation methodologies, prompt engineering, and production monitoring practices.
• Hands-on experience with containerisation technologies such as Docker.
• Strong understanding of distributed systems, scalability, and modern software architecture principles.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).

• Experience designing enterprise-scale AI platforms for multiple business stakeholders or client environments.
• Prior consulting, professional services, or client-facing delivery experience.
• Experience leading technical teams, mentoring engineers, and influencing architecture decisions.
• Familiarity with AI monitoring and evaluation platforms such as Lang Fuse, Lang Smith, or similar tooling.