AI Software Engineer (Generative AI) - Latin America

This position is posted by Jobgether on behalf of Azumo. We are currently looking for an AI Software Engineer (Generative AI) in Latin America. We are seeking a highly motivated AI Software Engineer to join a growing team focused on building advanced Generative AI solutions. In this role, you will work closely with engineers, data scientists, and domain experts to design, implement, and deploy intelligent applications that leverage large language models, vector databases, and automation pipelines. You will contribute across the full AI development lifecycle—from research and prototyping to production deployment, monitoring, and scaling. This is an opportunity to work in a collaborative, innovative environment where your expertise directly impacts real-world solutions for global clients and advances the frontier of AI software engineering. Accountabilities Research, design, and develop production-grade Generative AI solutions using LLMs, RAG pipelines, and vector databases. Lead end-to-end AI development including data preparation, model fine-tuning, evaluation, optimization, containerization, and secure cloud deployment on platforms such as Azure or AWS. Implement and maintain MLOps/LLMOps pipelines for automated testing, monitoring, and rollback. Apply Responsible AI principles and compliance standards throughout solution development. Translate business and technical requirements into scalable designs, rapidly prototyping and iterating with stakeholders. Contribute to innovation initiatives by identifying research opportunities, publishing insights, and advancing AI software development capabilities. Requirements Bachelor’s degree in Computer Science, Data Science, or a related field (Master’s preferred). 3+ years of experience developing and deploying machine learning, NLP, or Generative AI systems. Expert-level Python skills and solid software engineering fundamentals including data structures, testing, CI/CD, Git, and containerization. Hands-on experience with AI frameworks and tools such as PyTorch, TensorFlow, LangChain, LangGraph, and vector databases like Pinecone, FAISS, or Azure AI Search. Proven cloud deployment experience (Azure preferred; AWS acceptable). Familiarity with DevOps/Infrastructure as Code tools such as GitHub Actions, Terraform, Bicep, Docker, and Kubernetes. Strong written and verbal communication skills for explaining technical concepts to diverse audiences. Preferred: Experience with AI compliance frameworks (NIST, FedRAMP) and contributions to research papers, open-source libraries, or AI communities. Benefits Paid time off (PTO) and U.S. holidays. Access to professional training and Udemy Premium courses. Mentorship and career development support. Profit sharing opportunities. Competitive US-dollar remuneration. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job’s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! Originally posted on Himalayas