About the job
N-iX is seeking a Lead AI Engineer to spearhead the development, assessment, and enhancement of cutting-edge AI solutions. In this pivotal role, you will concentrate on designing and scaling intelligent systems, including Retrieval-Augmented Generation (RAG) and Natural Language Processing (NLP) applications, while guiding our clients through technical exploration, architectural choices, and AI integration strategies.
Your collaboration with stakeholders will focus on creating and implementing AI solutions that improve operational efficiency, optimize workflows, and extract value from data, all while ensuring scalability, quality, and cost-effectiveness.
Key Responsibilities:
- Design and develop AI-driven systems using Palantir Foundry AIP, including RAG pipelines, LLM applications, and NLP workflows for document comprehension and knowledge extraction.
- Oversee the entire lifecycle of AI solutions, from data ingestion and embedding generation to retrieval, reasoning, and response formulation.
- Work in partnership with AI/ML engineers to deploy models and LLM-based solutions, ensuring their reliability, scalability, and performance.
- Lead technical discovery and solution evaluation, examining potential AI implementations, clarifying architecture, and identifying risks and areas for improvement.
- Assess and enhance RAG pipelines, focusing on retrieval efficacy, chunking strategies, embeddings, and hybrid search techniques.
- Evaluate the scalability, multilingual capabilities, and cost-performance balance of AI systems.
- Provide guidance on the evolution of AI architecture, including platform selections, vendor dependencies, and migration strategies.
- Establish best practices for LLMOps and MLOps, encompassing evaluation frameworks, prompt engineering, monitoring, and iterative enhancements.
- Ensure ethical AI practices, including data governance, security, and compliance considerations.
- Mentor engineers and promote collaboration across AI, data, and product teams.

