Senior AI Engineer

aPriori Technologies; Belfast City District; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Pension match

Private medical & dental

Flexible time off

aPriori days

Job summary

aPriori Technologies is seeking a Senior AI Engineer to join the Belfast-based Data & AI Platform Team. You will design and implement AI-powered features via APIs and product surfaces, delivering production-grade LLM-driven capabilities and traditional AI solutions.

You will work with cloud AI/ML services (AWS Bedrock/Sagemaker, GCP Vertex AI, TensorFlow, PyTorch) and build scalable data pipelines. This hands-on role blends research with production delivery, mentoring peers and driving GenAI

Qualifications

• 7+ years of professional software engineering experience.
• 3+ years in traditional AI/ML and 1+ year building LLM applications on standard models.
• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field (or equivalent).
• Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain.
• Strong programming skills in Python and familiarity with modern data/ML pipelines.
• Solid understanding of data engineering practices (ETL/ELT, streaming, orchestration with Airflow/Temporal, dbt, Kafka).
• Knowledge of LLMOps/MLOps practices: CI/CD for ML, model monitoring, drift detection.

Responsibilities

• Design and build production-ready AI/ML systems, with an emphasis on Standard Model LLM-powered product and platform features.
• Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented generation (RAG), copilot-assistants and agentic workflows.
• Partner with Product Management and product teams to translate requirements into AI-powered capabilities that surface directly in user-facing products.
• Apply MLOps and LLMOps best practices: monitoring, evaluation, prompt versioning, cost/performance optimization.
• Combine traditional AI/ML with modern GenAI approaches to deliver hybrid solutions where appropriate.
• Collaborate with Data Engineers to establish a scalable data pipeline that serves structured data shaped for LLM consumption, feature store data for traditional AI, and Trad/GenAI-enhanced insights for internal and customer-facing BI use cases.
• Mentor and upskill peers in core AI/ML and LLMOps practices, raising the overall AI/ML competency of the team.
• Stay current with developments in GenAI, LLMOps, generative AI safety frameworks, and evaluate their potential for adoption within the platform.

Skills

Python

LangChain

LLMOps

MLOps

Prompt engineering

Data pipelines

ETL/ELT

Airflow

Kafka

PyTorch

TensorFlow

Education

Bachelor’s or Master’s in CS/AI/DS

Tools

AWS SageMaker

GCP Vertex AI

Azure ML

TensorFlow

PyTorch

scikit-learn

Airflow

Temporal

dbt

Kafka

Job description

Description

We are looking for a Senior AI Engineer to join our Belfast-based Data & AI Platform Team in building a next-generation data platform which will leverage aPriori’s proprietary data to deliver powerful insights and AI capabilities.

As a Senior AI Engineer, you will play a critical role in shaping and delivering AI-powered features within aPriori’s Data Platform, delivered via APIs and our product surfaces. You will design and implement production-grade solutions that leverage both generative AI with LLMs and traditional AI/ML. Working closely with Product Management and product teams, you will integrate AI capabilities into our products, enabling AI-powered insights, automation, and new user experiences that increase aPriori’s value to our customers.

This role is hands‑on and highly collaborative: you will design and implement LLM‑driven features, leverage and extend a modern data pipeline, and contribute to building scalable AI infrastructure using cloud‑based AI/ML services such as AWS Bedrock/Sagemaker, GCP Vertex AI, TensorFlow, and PyTorch.

Location: Belfast, NI (Hybrid) or Remote UK

Responsibilities

• Design and build production‑ready AI/ML systems, with an emphasis on Standard Model LLM‑powered product and platform features.
• Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval‑augmented generation (RAG), copilot‑assistants and agentic workflows.
• Partner with Product Management and product teams to translate requirements into AI‑powered capabilities that surface directly in user‑facing products.
• Apply MLOps and LLMOps best practices: monitoring, evaluation, prompt versioning, cost/performance optimization.
• Combine traditional AI/ML with modern GenAI approaches to deliver hybrid solutions where appropriate.
• Collaborate with Data Engineers to establish a scalable data pipeline that serves structured data shaped for LLM consumption, feature store data for traditional AI, and Trad/GenAI‑enhanced insights for internal and customer‑facing BI use cases.
• Mentor and upskill peers in core AI/ML and LLMOps practices, raising the overall AI/ML competency of the team.
• Stay current with developments in GenAI, LLMOps, generative AI safety frameworks, and evaluate their potential for adoption within the platform.

Requirements

• Hands‑on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain.
• Strong programming skills in Python and familiarity with modern data/ML pipelines.
• Solid understanding of data engineering practices (ETL/ELT, streaming, orchestration with Airflow/Temporal, dbt, Kafka, etc.).
• Knowledge of LLMOps/MLOps practices: CI/CD for ML, model monitoring, drift detection, evaluation metrics, governance.
• Strong collaboration and communication skills: able to partner with Product, Platform, and Data teams to drive AI features from concept to production.
• Demonstrated ability to mentor and upskill engineers, particularly in data/ML workflows.
• Skilled in designing/building/deploying/operating LLM standard model‑powered features in production (chatbots, copilots, RAG systems, agents)
• Proficient in working with traditional cloud AI/ML platforms such as Amazon Sagemaker, GCP Vertex AI, or Azure ML and frameworks such as TensorFlow, PyTorch, scikit‑learn.

Education and Experience

• 7+ years of professional software engineering experience, including 3+ years experience in traditional AI/ML and 1+ year experience in building LLM applications on standard models.
• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field (or equivalent experience).

Benefits

aPriori offers competitive compensation and unique benefits including pension match, private medical & dental, flexible time off, aPriori days, and more in a dynamic, growing, innovative environment.

About aPriori

Founded in 2003, aPriori is a software firm that helps manufacturers accelerate product design and bring products to market faster while providing visibility to the sustainability of their design and manufacturing choices.

GDPR Notice: https://www.apriori.com/privacy-policy