Senior AI​/ML Engineer - Digital creative agency

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our client is a technology-first creative network that blends equal parts engineering expertise and creative vision to solve complex business challenges. With a global footprint and a portfolio of leading agencies under its umbrella, they partner with some of the world’s most recognized brands across industries to craft innovative, high-impact digital experiences. Their multidisciplinary teams leverage emerging technologies, AI, and deep market insights to deliver solutions that drive performance, engagement, and transformation.

The AI Engineer will play a pivotal role in designing, developing, and deploying AI-powered solutions that enhance immersive, high-performance web experiences for global clients. This position combines hands‑on technical work with strategic solution design, requiring expertise in machine learning algorithms, data processing, and AI infrastructure. The ideal candidate will be a collaborative problem solver, adept at translating business goals into scalable AI architectures while ensuring performance, security, and accessibility.

• Collaborate with cross-functional teams to identify AI opportunities, gather requirements, and architect end-to-end solutions.

• Design, develop, and implement machine learning and deep learning models using frameworks such as Tensor Flow,
  Py Torch , scikit-learn, and LLM-oriented tools.

• Build and deploy AI agents using Lang Chain (or equivalent frameworks) for agentic development.

• Oversee data collection, preprocessing, and feature engineering for high-quality model inputs.

• Train, fine-tune, and evaluate models — including large language models (LLMs) — using large datasets and appropriate performance metrics.

• Select, configure, and optimize AI infrastructure, tools, and frameworks on Google Cloud Platform (GCP), with additional exposure to AWS and Azure
  .

• Ensure scalability, security, and efficiency in cloud-based AI solutions.

• Build prototypes and proof of concepts (POCs) to validate feasibility and potential impact.

• Provide technical leadership and mentorship to AI development teams.

• Stay informed on emerging AI trends and technologies, contributing innovative ideas to the company’s AI strategy.

• Lead deployment of AI solutions into production, ensuring seamless integration with existing systems.

• Ensure compliance with HIPAA and best practices for handling PII in AI‑driven systems.

• Continuously optimize AI systems for performance, reliability, and accuracy.

• Produce clear and comprehensive technical documentation.

• Proven track record as an AI Engineer, Machine Learning Engineer, Data Engineer, or AI Architect.

• Strong programming skills in Python
  , with hands‑on experience in Lang Chain (or similar frameworks) for agentic/LLM-based development.

• Deep understanding of machine learning techniques, algorithms, and model evaluation methods.

• Experience working with large language models (LLMs), fine-tuning, and deploying them at scale.

• Expertise with Google Cloud Platform (GCP), plus exposure to AWS and Azure
  .

• Familiarity with big data technologies,
  data processing pipelines
  , and distributed computing.

• Knowledge of compliance requirements such as HIPAA and best practices for handling PII data
  .

• Excellent problem-solving…