Job Description
We are seeking a highly motivated Senior Engineer to lead the design, development, and optimisation of intelligent systems that power our next-generation applications. This is an exciting opportunity to join a growing team, working in a flexible and innovative environment to deliver world‑class AI solutions that drive business value.
Responsibilities
- Architect and optimise AI‑driven systems, ensuring scalability and performance.
- Implement vector/graph database solutions and RAG techniques for information storage and retrieval.
- Develop agentic reasoning workflows using frameworks such as LangChain or LlamaIndex.
- Lead the full AI lifecycle: data ingestion, embedding, extraction, synthesis, prompt engineering, and workflow orchestration.
- Deploy, monitor, and maintain models in Docker‑based, containerised environments.
- Collaborate with cross‑functional teams to align AI capabilities with business goals.
- Contribute to internal knowledge sharing and mentor junior engineers.
Required Skills & Experience
- Proven expertise in Python‑based frameworks such as FastAPI for API development, Celery for task management, and Postgres for database solutions.
- Experience with vector and graph databases, and RAG‑based architectures.
- Experience with agentic frameworks and orchestration frameworks such as LangChain or LlamaIndex.
- Solid understanding of LLMs, embeddings, and prompt engineering.
Highly Desirable
- Experience designing multi‑agent systems or autonomous workflows.
- Hands‑on experience with Docker and deploying container‑ised, cloud‑native tools.
- Experience with advanced retrieval‑augmented generation techniques, including:
- TAG (Tool‑Augmented Generation) – integrating external tools to enhance generation capabilities.
- CAG (Context‑Aware Generation) – leveraging dynamic context to improve relevance and coherence.
- GraphRAG (Graph‑Augmented Retrieval‑Augmented Generation) – utilizing graph‑based structures to enrich retrieval and reasoning.
Competencies
- Stakeholder engagement: Work with cross‑functional teams to align AI‑driven systems and capabilities with business goals and ensure solutions deliver meaningful business value.
- Collaboration and teamwork: Collaborate within a growing engineering team, contributing to shared delivery of AI solutions and supporting others through knowledge sharing and mentoring of junior engineers.
- Adapting to change: Operate in a flexible and innovative environment, adjusting approaches across the AI lifecycle as systems, tools, and requirements evolve.
- Continuous improvement: Design, optimise, monitor, and maintain AI‑driven systems to ensure ongoing performance, scalability, and reliability across deployed solutions.
- Innovation: Develop and implement advanced AI architectures, including agentic workflows, vector and graph databases, and retrieval‑augmented generation techniques to support next‑generation applications.
- Resilience: Manage the end‑to‑end AI lifecycle, including deployment, monitoring, and maintenance of containerised models, maintaining stability and performance in production environments.
- Future focused: Build cloud‑native, scalable AI systems using modern frameworks and architectures to support the long‑term evolution of next‑generation applications.
Benefits
- Hybrid working model.
- Competitive base salary.
- Non‑contributory pension.
- Discretionary bonus.
- Health, family and dental coverage.
Equal Employment Opportunity Statement
We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio‑economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate.
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