aPriori Technologies
Senior AI Engineer

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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, 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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).
aPriori Offers
- A team environment where your experience is valued, your voice is heard, and the work that you do makes an impact for our customers and employees.
- 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 disrupting the industry’s status quo with groundbreaking work helping manufacturers digitally transform their businesses. Through our unique, patented, intellectual property, we enable manufacturers to accelerate product design, and bring products to markets faster while providing visibility to the sustainability of their design and manufacturing choices. Our impact is profound - our customers save millions of dollars each year, accelerate time to market, all while creating a better world for future generations. Though we are an established software firm, through our continued growth, we have maintained the dynamic, collaborative nature of a start-up.


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With a global presence, including North America, Europe, Asia, and India, we encourage an inclusive work environment and support employees’ growth through education, training, wellness, and other programs. As our greatest asset, employees’ contributions are acknowledged through monthly company-wide meetings, often with promotions and awards. We promote a positive work culture, employee-friendly policies, flexible work schedules, pub nights, and an additional day off each quarter known as “aPriori Day”.
Interested in joining our team? We continue to build an organisation of highly talented, self-motivated individuals. Our unique environment empowers employees to bring their best selves each day, asking, “How can I do better?” and then exceeding expectations. We work together towards a common goal. We nurture and celebrate each other’s successes. Employees embrace opportunities to build new skills as well as step into leadership positions where they are supported and mentored by the Senior Leadership team to grow into impactful individual contributor roles or to effectively manage teams. Innovation, adaptability, and a desire to increase your value are essential. If you possess these qualities, we want to hear from you!
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