Senior AI/ML Engineer - Technology

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Santo Domingo, DOM
In-Office or Remote
Senior level
Information Technology • Software
The Role
Design, fine-tune, and deploy LLMs and RAG systems for internal tools and client products. Lead experiments, define hypotheses, analyze results, and communicate findings. Collaborate with engineering to productionize models, implement MLOps/LLMOps practices, and write production-grade Python. Promote AI adoption, stay current on GenAI methods, and act as GenAI technical SME.
Summary Generated by Built In
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

We are a global insights and strategy firm that helps the world’s boldest brands see around corners. From entertainment and gaming to sports and lifestyle, we work behind the scenes to bring imagination, depth, and clarity to our clients' biggest challenges.


Job Summary

We are seeking a Data Scientist or Senior Data Scientist to join our Marketing/Data Science team and help advance the cutting edge of insights across entertainment, technology, and culture. This is an opportunity to design, build, and scale AI/ML solutions that integrate GenAI innovations – like LLMs, RAG pipelines, and agentic workflows – into core research products.

We need someone who thrives on experimentation, communicates clearly and promptly, and can drive value independently. If you’re excited about fine-tuning foundation models, deploying performant and reliable ML solutions, and crafting experiments that answer hard questions, we want to hear from you.

Responsibilities
  • Design and execute advanced AI/ML models – including fine-tuned LLMs and RAG architectures – for integration into both internal tooling and external client-facing products.

  • Lead experimentation efforts: clearly define hypotheses, design interpretable tests, analyze results rigorously, and communicate findings effectively.

  • Serve as the technical SME for GenAI/LLM-powered tools, from foundational architecture to model optimization and deployment.

  • Work with software and data engineering to productionize models and contribute to robust CI/CD pipelines with MLOps/LLMOps best practices.

  • Stay current on emerging methods in AI – e.g., agentic workflows, memory-augmented systems, multimodal embeddings – and bring those ideas to life in real-world applications.

  • Promote AI adoption internally by educating and empowering cross-functional partners while improving processes and workflows.

  • Manage your time and projects effectively, ensuring clear progress updates and proactive communication with collaborators.

  • Write production-grade Python code to support models, pipelines, and experimental frameworks.

  • Work with the highest degree of ethics and empathy, recognizing that AI can be a potentially disruptive force for organizations and individuals

Qualifications and Job Requirements
  • 5+ years in data science, ML engineering, or related analytics roles.

  • Proven experience deploying machine learning models into production environments, ideally with LLMs or GenAI systems.

  • Bachelor’s or higher degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or related field.

  • Experience working with consumer data, especially within media, entertainment, or marketing research contexts is a strong plus.

  • Proficiency working with modern ML frameworks and GenAI stacks (e.g., LangChain/LlamaIndex, HuggingFace Transformers, OpenAI APIs).

  • Experience building and fine-tuning models using domain-specific datasets, preferably including survey, behavioral, or audience data.

  • Familiarity with retrieval-augmented generation (RAG), vector databases, and agentic/multi-step reasoning workflows (e.g., ReAct, AutoGPT, MCP frameworks).

  • Comfortable implementing MLOps/LLMOps practices: version control, experiment tracking, model deployment, and monitoring.

What We Offer
  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here
  • A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

  • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

  • Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!

Skills Required

  • 5+ years in data science, ML engineering, or related analytics roles.
  • Proven experience deploying machine learning models into production, ideally with LLMs or GenAI systems.
  • Bachelor's or higher degree in Computer Science, Engineering, Statistics, Mathematics, or related quantitative field.
  • Proficiency with modern ML frameworks and GenAI stacks (e.g., LangChain, LlamaIndex, HuggingFace Transformers, OpenAI APIs).
  • Experience building and fine-tuning models using domain-specific datasets (survey, behavioral, or audience data).
  • Familiarity with retrieval-augmented generation (RAG), vector databases, and agentic/multi-step reasoning workflows (ReAct, AutoGPT, MCP).
  • Comfortable implementing MLOps/LLMOps practices: version control, experiment tracking, model deployment, and monitoring.
  • Ability to write production-grade Python code to support models, pipelines, and experimental frameworks.
  • Experience working with consumer data in media, entertainment, or marketing research contexts.
  • Knowledge of agentic workflows, memory-augmented systems, and multimodal embeddings and willingness to apply them.
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The Company
HQ: New York, NY
266 Employees
Year Founded: 2003

What We Do

Truelogic Software is a Nearshore tech firm specializing in Staff Augmentation Services and Innovation Projects. We build innovative digital products by extending the engineering teams of US companies with our elite group of 500 Latin American highly experienced tech talent. Our SERVICES Staff Augmentation Services Dedicated Agile Teams Innovation Projects Our EXPERTISE Mobile & Web Development Data Engineering DevOps QA Automation & Testing UX/UI Designing Project Management Email us [email protected]

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