Senior ML Engineer; LLM, Agentic AI

Nisos is the human risk management company specializing in unmasking threats before they escalates. We are a trusted advisor who operates as an extension of security, intelligence, legal, and human resource teams to protect their people and business. Our intelligence‑led solutions help enterprises make critical decisions, manage human risk, and drive real world consequences for digital threats.

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Join an AI/ML team designing and shipping production ML systems that combine Large Language Models (LLMs), retrieval‑augmented generation (RAG), and modern agent frameworks for multi‑step decision making. You will help turn massive, noisy data into actionable intelligence for analysts and customers.

• Integrate and fine‑tune LLMs for natural‑language understanding, reasoning, and multi‑step tool orchestration.
• Build agentic workflows (e.g. using Lang Graph) to coordinate complex tasks across data sources and services.
• Architect and implement AI/ML features for pattern recognition, entity extraction, and automated intelligence gathering at scale.
• Develop scalable data pipelines and streaming architectures that process billions of heterogeneous data points.
• Create and optimize vector databases and retrieval systems for semantic search and RAG.
• Deliver production‑ready APIs and microservices supporting real‑time analysis and model inference.
• Own model deployment and monitoring using modern ML/LLMOps practices; drive continuous improvement in accuracy, latency, and cost.
• Evaluate LLM systems with offline metrics, golden test sets, prompt A/B tests, latency & cost optimisation.
• Collaborate with analysts and product teams to translate intelligence needs into robust ML solutions.

• Expert proficiency in Python, with experience of at least one of deep learning frameworks, PyTorch and Tensor Flow
• Hands‑on with Lang Chain, Lang Graph, Auto Gen or similar agent LLM frameworks
• Deep experience with prompt engineering, foundation model API integration and LLM fine tuning
• Expertise in RAG systems with vector databases (Pinecone, Weaviate) and embedding technologies
• Strong experience with LLMOps practices for observability and traceability and LLM evaluation.
• Deep understanding of distributed systems, microservices, and real‑time streaming architectures
• Strong containerization and infrastructure skills (Docker, ECS, Terraform, Cloud Formation)
• Experience building production AI systems with strong safety, privacy, and ethical practices
• Familiarity with computer vision and NLP techniques for OSINT
• Understanding of adversarial AI and security implications

• Degree in Computer Science, AI/ML, or equivalent experience
• Substantive experience in building AI/ML products at scale with proven experience in LLMs, RAGs or Agentic AI solutions
• Proven experience shipping production AI systems at scale
• Track record of building systems that process and analyze large‑scale unstructured data
• Experience in security, intelligence, or OSINT platforms preferred

• Hybrid office schedule: employees balance working remotely and working at our office in Belfast City Centre.
• Flexible schedule: employees generally work normal business hours. We routinely meet in the afternoon with US‑based colleagues, but we rarely schedule meetings earlier than 8 am or past 6 pm local time.

The position requires use of Macbooks and MacOS. We ensure you can work well from home by providing Macbook Pros, monitors, peripherals, and noise‑canceling headphones.

This job description is not designed to cover nor contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

We’re an equal opportunity employer dedicated to fostering a diverse workplace and prioritizing dignity and respect for our workforce. The goals of our trusted‑partner culture are to establish an environment where employees have a sense of belonging, and to…