AI Developer

AI Developer

Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. 

We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.

At Wizeline, we are a team of nearly 2,000 people spread across 25+ countries. We understand that great technology begins with outstanding talent and diversity of thought. Our business was built on doing well and doing good, and our values of Ownership, Innovation, Community, and Diversity & Inclusion are embedded within our company’s DNA. We are committed to offering our Wizeliners the opportunity to create their career path and develop the skills needed to achieve their personal goals.

We are proud to contribute to local economies by developing technology ecosystems in places like Mexico, Colombia, and Vietnam. We also created Wizeline Academy, a free, community-based education program that teaches high-value skills to workers looking to advance their tech industry careers. As of 2022, Academy has served more than 28,000 students across 675 courses. Wizeliners have the opportunity to upskill by taking Wizeline Academy courses and can also share their expertise by delivering classes to students.

We are seeking a talented AI Engineer specializing in generative AI and large language models (LLMs) to join our dynamic team. This role is critical in driving business transformation by applying advanced AI techniques and methodologies. The ideal candidate will possess deep expertise in AI, Machine Learning (ML), Data, and Software Engineering (SWE), focusing on creating scalable and ethical AI systems that enhance business efficiency and decision-making.The AI Engineer specializing in generative AI and large language models (LLMs) will be responsible for designing, developing, and deploying AI-driven solutions to address complex business challenges. This role combines software development, data engineering, and data science, focusing on using generative AI techniques, LLMs, and state-of-the-art solutions rather than specific model training.
As an AI Engineer, you will be at the forefront of AI innovation, responsible for designing, implementing, and optimizing AI solutions that address complex business challenges. Your work will involve a combination of best practices from software engineering and data science, enabling the creation of intelligent systems. You will collaborate closely with cross-functional teams to ensure that AI solutions are integrated seamlessly into business operations, driving both strategic and operational excellence.

• Implement generative AI models such as GANs, VAEs, and LLMs for applications including content generation, data augmentation, and more.
• Conduct thorough data exploration and preprocessing to prepare high-quality datasets for AI implementation.
• Implement, develop, and optimize unstructured data preprocessing techniques for text, images, audio, and video data.
• Implement indexing techniques and data pipelines to support efficient retrieval and storage of large-scale unstructured and structured data.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.
• Manage the full AI/ML project lifecycle from research and development to deployment and continuous optimization.
• Develop and maintain scalable AI/ML pipelines using AWS, Google Cloud, or Azure.
• Apply MLOps and LLMOps practices for system traceability, evaluation, and continuous improvement of AI systems.
• Ensure ethical AI development practices, focusing on fairness, transparency, and data privacy.
• Stay updated with the latest advancements in AI research and apply new techniques to ongoing projects.
• Develop and deploy APIs and services that integrate AI solutions into existing business systems, ensuring seamless interaction across platforms.
• Conduct prompt engineering and implement RAG (retrieval-augmented generation) for specific use cases.
• Implement and optimize AI/ML and GenAI tools for image processing, computer vision, semantic segmentation, and natural language processing (NLP).

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role.

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field.
• Strong proficiency in Python, and AI frameworks such as TensorFlow and PyTorch.
• Experience with generative models (GANs, VAEs, LLMs), traditional machine learning algorithms, and natural language processing (NLP).
• Experience with deep learning models.
• Proficiency in GenAI frameworks and orchestration tools such as LlamaIndex and LangChain.
• Experience with LLMOps and traceability platforms such as W&B, LangFuse, LangSmith, and DataBricks.
• Strong knowledge of unstructured and structured data preprocessing techniques and data engineering practices.
• Familiarity with big data tools and techniques for handling large datasets.
• Experience with Vector DBs such as Pinecone and Weaviate, and hybrid search systems combining keyword, fuzzy, and semantic search.
• Familiarity with indexing techniques and large-scale data retrieval systems.
• Proficiency in cloud computing and AI deployment on platforms like AWS, Google Cloud, or Azure, including evaluation and monitoring of AI models.
• Excellent problem-solving and analytical skills.
• Strong communication skills for effective teamwork and stakeholder engagement.
• Familiarity with the software development lifecycle (SDLC) and deployment strategies.
• Familiarity with the principles of ethical AI, including data privacy, algorithmic fairness, and transparency in AI systems.
• Familiarity with Gen AI evaluation frameworks and metrics.

Still not convinced you should apply? Here are some of the things that make Wizeline different from other technology services companies:

Our Values

At Wizeline, we value innovation, community, and ownership. Our commitment to diversity, inclusion, and respect fosters an environment where everyone does well and does good. We're proud to be recognized by the Human Rights Campaign Foundation in response to our inclusive corporate policies and best practices for LGBTQ+ employees. 

Our Culture

We offer exceptional career growth and learning opportunities to our employees with skill development workshops, mentoring programs, and support for side projects or entrepreneurial work. We ranked 7th on Expansión’s Super Companies 2021 list.

Our Benefits and Perks

We offer competitive compensation and employee-centric benefits, including industry-leading maternity and paternity leave, wellness programs, and remote work opportunities. All Wizeliners have access to continuous learning opportunities through Wizeline Academy, including cloud certifications, mentorship, LinkedIn Learning, Udemy, and in-house technical bootcamps developed by our experts in the field. 

In recognition of our superb employee benefits, we debuted on Quartz’s list of the Best Companies for Remote Workers and ranked 5th on Expansión’s Super Workspaces 2021 list.

Our Global Family

To support the global nature of our business and help our employees grow beyond their technical skills, we offer free virtual English and Spanish language classes as well as provide immigration support when applicable. Prior to COVID-19, we had a robust Work Abroad program in place, which we plan to continue once it’s safe to do so. 

#AllAreWelcomeHere

Wizeline creates and fosters a diverse, inclusive, and harassment-free workplace where everyone can achieve their potential. All applicants will be considered for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.