Lead AI/ML Engineer

N-iX; Argentina; Hybrid; ARS 83,351,856 - 111,135,808; Full time

Benefits offered by this job

Flexible working format

Competitive salary

Education reimbursement

Corporate events

Job summary

N-iX is seeking a Lead AI Engineer in Argentina to drive the design and evolution of AI-powered solutions. You'll focus on building scalable intelligent systems and guide clients through AI adoption strategies.

This role involves collaborating with stakeholders to develop AI solutions that enhance efficiency and deliver value from data. The ideal candidate should have extensive experience in AI/ML systems, strong leadership skills, and proficiency in Python.

Flexible working formats are offered, including remote work and competitive compensation.

Qualifications

• 6+ years of experience in software engineering, with strong exposure to AI/ML systems.
• Hands-on experience with LLM-based applications or NLP systems.
• Strong proficiency in Python and experience with AI/ML frameworks.

Responsibilities

• Design and implement AI-driven systems within Palantir Foundry AIP.
• Lead the end-to-end lifecycle of AI solutions, from data ingestion to response generation.
• Collaborate with AI/ML engineers to productionize models.

Skills

Python

AI/ML systems

Leadership

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Palantir Foundry

Spark

Job description

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 or higher.
• Availability to work in UK time zone (GMT+1).

Nice to have

• Experience with Palantir Foundry.
• Familiarity with distributed systems or large-scale data processing (e.g., Spark).

We offer

• Flexible working format – remote, office-based or flexible.
• A competitive salary and good compensation package.
• Personalized career growth.
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more).
• Active tech communities with regular knowledge sharing.
• Education reimbursement.
• Memorable anniversary presents.
• Corporate events and team buildings.
• Other location-specific benefits.
• Not applicable for freelancers.