Lead AI/ML Engineer

N-iX is looking for a Lead AI Engineer to drive the design, evaluation, and evolution of AI-powered solutions. In this role, you will focus on building and scaling intelligent systems (including RAG-based and NLP-driven applications), while guiding clients through technical discovery, architecture decisions, and AI adoption strategies.
You will work closely with stakeholders to design and deliver AI-driven solutions that enhance business efficiency, streamline processes, and unlock value from data, while ensuring scalability, quality, and cost-effectiveness.

Responsibilities:

• Design and implement AI-driven systems within Palantir Foundry AIP, including RAG pipelines, LLM-powered applications, and NLP workflows for document understanding and knowledge extraction
• Lead the end-to-end lifecycle of AI solutions, from data ingestion and embedding generation to retrieval, reasoning, and response generation
• Collaborate with AI/ML engineers to productionize models and LLM-based solutions, ensuring reliability, scalability, and performance
• Drive technical discovery and solution assessment, analyzing possible AI implementations, clarifying their architecture, and identifying risks and improvement opportunities
• Evaluate and optimize RAG pipelines, including retrieval quality, chunking strategies, embeddings, and hybrid search approaches
• Assess scalability, multilingual capabilities, and cost-performance trade-offs of AI systems
• Advise on AI architecture evolution, including platform choices, vendor dependencies, and potential migration paths
• Establish best practices for LLMOps / MLOps, including evaluation frameworks, prompt engineering, monitoring, and iterative improvement
• Ensure responsible AI practices, including data governance, security, and compliance considerations
• Mentor engineers and foster collaboration across AI, data, and product teams

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 6+ years of experience in software engineering, with strong exposure to AI/ML systems
• Hands-on experience with LLM-based applications, RAG pipelines, or NLP systems
• Experience building multimodal AI systems, including working with text, documents, images, and/or other data types
• Experience developing AI solutions for multiple languages, including handling multilingual data, prompts, and evaluation
• Strong proficiency in Python and experience with AI/ML frameworks and tooling
• Experience designing and deploying scalable AI systems in production environments
• Understanding of vector databases, embeddings, retrieval strategies, and hybrid search
• Experience with MLOps / LLMOps practices, including model lifecycle management, evaluation, and monitoring
• Ability to perform technical discovery and communicate complex AI concepts to both technical and non-technical stakeholders
• Strong leadership, communication, and stakeholder management skills
• English Upper-Intermediate +
• Availability to work in UK time zone (GMT+1)