Lead AI Engineer

Job Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for a Lead AI Engineer to lead the design, delivery, and scaling of production-grade AI systems powering real-world products and workflows.

This role sits at the intersection of engineering leadership, applied machine learning, and large-scale AI platform delivery, owning both team growth and technical strategy. You will work cross-functionally with product, data, and business stakeholders to turn cutting-edge AI capabilities into reliable, enterprise-ready solutions.

This is a high-impact leadership role for someone who combines hands-on understanding of modern LLM ecosystems with a strong track record of building and scaling engineering organizations.

Commitments Required: 8 hours per day with an overlap of 4 hours with PST.

Employment type: Contractor assignment (no medical/paid leave); 100% REMOTE

Duration of contract: 12+ months (long-term)

Locations: LATAM

Responsibilities

• Lead and scale engineering teams delivering production AI systems and platforms
• Drive architecture and implementation of LLM-powered applications, including RAG, embeddings, fine-tuning, and evaluation pipelines
• Establish best practices for LLM testing, benchmarking, grounding, hallucination detection, and performance validation
• Partner with product and business leaders to translate AI opportunities into scalable technical solutions
• Oversee deployment and lifecycle management of AI models in cloud production environments
• Guide development of robust data pipelines, integration patterns, and MLOps workflows
• Mentor engineering leaders and senior engineers, fostering strong technical ownership and execution culture
• Ensure systems meet enterprise standards for reliability, security, privacy, and scalability

Requirements

• 8+ years of software engineering experience including leadership of engineering teams
• Strong recent experience applying AI/LLM systems to real production products and workflows
• Proven success building and scaling engineering teams in production AI environments
• Deep experience with modern LLM ecosystem including:
• embeddings
• RAG architectures
• RLHF
• fine-tuning approaches
• Experience designing or implementing LLM evaluation frameworks, including prompt testing, grounding strategies, hallucination mitigation, and benchmarking
• Strong programming experience in Python and/or Typescript/Javascript
• Excellent communication skills with experience leading cross-functional initiatives

Preferred Qualifications

• Experience working with large-scale datasets in AdTech or advertising platforms
• Experience with Snowflake, Databricks, or similar large-scale data platforms
• Hands-on experience with AI frameworks such as PyTorch, TensorFlow, or Hugging Face
• Experience deploying models into production cloud environments
• Familiarity with data pipelines, integration patterns, and MLOps practices
• Direct experience implementing RAG systems at scale and/or fine-tuning large language models
• Exposure to diffusion, image, or video generation models
• Experience with creative pipelines or AI-driven content workflows
• Background in statistical modeling or mathematics
• Awareness of AI privacy, copyright, or ethical considerations
• Experience in media, entertainment, or content-tech industries