Senior GenAI Engineer

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We are looking for a GenAI Engineer to design, build, and optimize generative AI solutions supporting a large-scale document processing and workflow automation platform. This role requires hands-on experience with the latest AI models and LLMs, prompt engineering, model evaluation, RAG architectures, Vertex AI or Gemini models, and cloud-native deployment. You will partner closely with architects and product teams to deliver reliable, responsible, and production-grade AI features.

Our client is a global, UK-based financial services and investment banking organization building an AI-powered document processing and automation platform used across multiple divisions within the banking group. The initiative focuses on intelligent data extraction, classification, quality enhancement, and workflow automation using cutting-edge GenAI and cloud technologies.

Responsibilities:

• Design and implement GenAI components including LLM pipelines, RAG flows, prompt templates, and classification/extraction logic.
• Develop AI-driven features for document understanding, summarization, entity extraction, validation, and workflow automation.
• Work with Vertex AI & Gemini models for experimentation, fine-tuning, evaluation, and deployment.
• Create and maintain LLM-as-a-judge evaluation setups to measure model quality, reliability, and accuracy.
• Optimize costs, latency, and performance of model inference and orchestration.
• Collaborate with software engineers to integrate AI components into microservices and APIs.
• Build robust monitoring, observability, and guardrails for LLM behavior, hallucination mitigation, and data safety.
• Work with stakeholders to understand business needs and translate them into feasible GenAI solutions.
• Document designs, experiment results, prompts, evaluation metrics, and best practices.
• Stay current with the rapidly evolving GenAI ecosystem and provide strategic recommendations.
  
  

Requirements:

• 4+ years of experience in applied Machine Learning, GenAI engineering, or NLP/LLM-focused roles.
• Hands-on experience with Google Cloud Platform (GCP):
• Strong experience working with LLMs (OpenAI, Gemini, Claude, Llama, Mistral, etc.).
• Practical knowledge of:
• Prompt engineering & prompt optimization
  
• RAG architectures (vector stores, embeddings, retrieval patterns)
• LLM-as-a-judge evaluation and AI metrics
• Guardrails, safety layers, and hallucination mitigation
  
• Proficiency in Python; experience building production-grade AI services.
• Experience with orchestrating pipelines using Airflow, KubeFlow, Vertex Pipelines, or similar tools.
• Understanding of microservices & APIs for integrating AI components.
• Experience working with structured and unstructured data (PDFs, images, text).
• Advanced English and ability to collaborate with cross-functional teams, including engineering, product, and domain experts.