Staff AI Engineer

JR United Kingdom; Lisburn; Remote; GBP 70,000 - 100,000; Full time

Job summary

A fast-growing tech-driven organization is seeking a seasoned AI Staff Engineer to join their remote team. This senior role involves designing scalable AI features, developing APIs, and mentoring engineers. Ideal candidates should have extensive experience in AI/ML and a strong communication skill set. This position offers a unique opportunity to contribute to AI-enhanced threat intelligence solutions.

Qualifications

• 8+ years software engineering experience, 3+ years in AI/ML.
• Experience building production-ready AI systems.
• Skilled in prompt engineering and fine-tuning large models.

Responsibilities

• Design and build AI-powered features for automated intelligence.
• Develop APIs and microservices for high-throughput data analysis.
• Mentor engineering peers and lead technical delivery.

Skills

AI/ML libraries

Model deployment

Cloud-based AI tools

Communication skills

Education

Degree in Computer Science, Machine Learning, or related field

Tools

PyTorch

TensorFlow

LangChain

Apache Kafka

Docker

Kubernetes

Job description

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Enso Recruitment is working on behalf of a fast-growing tech-driven organisation that’s redefining how businesses manage risk in an increasingly complex digital world. We are currently looking for a seasoned AI Staff Engineer to join their remote team. This is a rare opportunity to help build a cutting-edge platform from scratch, contributing directly to the future of AI-enhanced threat intelligence.

The Role

This is a senior hands-on role, ideal for someone with a strong background in AI/ML and software architecture, who enjoys working collaboratively to shape scalable solutions. You’ll work closely with technical teams and analysts to design, develop, and deploy AI-driven features and systems that support real-time intelligence operations.

Key Responsibilities

• Design and build AI-powered features for automated intelligence, pattern recognition, and threat identification
• Develop APIs and microservices that support high-throughput, real-time data analysis
• Implement and optimize vector databases for large-scale semantic search
• Architect scalable data pipelines for processing high-volume, unstructured data
• Integrate Large Language Models for processing and analysing textual intelligence data
• Lead best practices in MLOps, including model deployment, monitoring, and retraining
• Build and refine computer vision capabilities to support image and video analysis
• Mentor engineering peers and contribute to a high-performance team culture
• Work collaboratively with analysts to understand problems and deliver technical solutions
• Take ownership of major technical components from concept to production

About You

• Skilled in using AI/ML libraries such as PyTorch, TensorFlow, and LangChain
• Experienced in prompt engineering and fine-tuning large models
• Familiar with vector databases like Pinecone, Milvus, or Weaviate
• Strong understanding of cloud-based AI tools (e.g. AWS SageMaker, Bedrock)
• Experienced in building retrieval-augmented generation (RAG) systems
• Proficient in streaming and orchestration tools like Apache Kafka, Airflow, Spark, Docker, and Kubernetes
• Solid knowledge of both SQL and NoSQL databases
• Background in distributed systems and microservices
• Committed to ethical AI practices and aware of adversarial risk
• Strong communication skills, especially when translating technical ideas for non-technical audiences
• Proven experience mentoring engineers and leading technical delivery
• Able to make architecture decisions with scale, security, and reliability in mind

Requirements

• Degree in Computer Science, Machine Learning, or a related field—or equivalent experience
• 8+ years of software engineering experience, with at least 3 years focused on AI/ML
• Prior experience building production-ready AI systems
• Background in security, open-source intelligence (OSINT), or related domains is desirable
• Publications or open-source contributions are a plus
• Must be authorised to work in the UK and willing to travel to the US for periodic planning sessions