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Lead AI/ML Engineer

N-iXUkraine
On-site Full-time

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Experience Level

Manager

Qualifications

Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline. Minimum of 6 years of experience in software engineering, with significant exposure to AI/ML systems. Hands-on experience with LLM-based applications, RAG pipelines, or NLP systems. Proven experience in developing multimodal AI systems, working with text, documents, images, and other data forms. Experience in crafting AI solutions for multiple languages, including managing multilingual data and evaluation processes. Strong proficiency in Python and familiarity with AI/ML frameworks and tools. Experience in working with cloud platforms and services.

About the job

N-iX seeks a Lead AI/ML Engineer based in Ukraine to shape and advance the company’s AI initiatives. This position focuses on designing, evaluating, and refining advanced AI systems, with particular attention to Retrieval-Augmented Generation (RAG) and Natural Language Processing (NLP) solutions. The role also involves working closely with clients to guide technical decisions and develop strategies for integrating AI into business processes.

Collaboration with stakeholders is central to this position. Delivering AI solutions that improve operations, streamline workflows, and maximize data value is a core part of the job. Throughout each project, scalability, quality, and cost-effectiveness are key priorities.

Main Responsibilities

  • Design and develop AI-driven systems using Palantir Foundry AIP, including RAG pipelines, large language model (LLM) applications, and NLP workflows for document understanding and knowledge extraction.
  • Oversee the full lifecycle of AI solutions, from data ingestion and embedding generation to retrieval, reasoning, and response generation.
  • Work with AI/ML engineers to deploy models and LLM-based solutions, ensuring reliability, scalability, and high performance.
  • Lead technical discovery, evaluate potential AI solutions, clarify architecture, and identify risks or improvement areas.
  • Analyze and enhance RAG pipelines, focusing on retrieval quality, chunking strategies, embeddings, and hybrid search methods.
  • Assess AI systems for scalability, multilingual capabilities, and the balance between cost and performance.
  • Advise on AI architecture evolution, including platform selection, vendor dependencies, and migration planning.
  • Establish standards for LLMOps and MLOps, covering evaluation, prompt engineering, monitoring, and iterative updates.
  • Promote ethical AI practices, emphasizing data governance, security, and compliance.
  • Mentor engineers and foster collaboration among AI, data, and product teams.

About N-iX

N-iX is a leading technology partner for businesses across the globe, known for delivering top-notch IT services and solutions. With a team of skilled professionals, N-iX specializes in various aspects of software engineering, data analytics, and AI technologies, helping clients achieve their digital transformation goals.

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