AI Engineer/LLM

Generative AI Specialist / LLM Engineer

About Mindtech
Mindtech is the gateway to exciting and impactful technological projects. We specialize in end-to-end software outsourcing, connecting Latin American talent with global opportunities. Our agile approach guarantees our clients exceptional service and innovative solutions. With a diverse team of over 80 professionals in LATAM and the US, we are committed to delivering software that drives success.

About the Role

We are looking for an AI Engineer / Generative AI Specialist to design, develop and deploy advanced solutions based on generative artificial intelligence.

The role will be focused on the entire life cycle of AI models: from requirements analysis and algorithm selection to training, fine-tuning, deployment and evaluation of generative models in production.

The person will participate in building solutions based on LLMs, RAG architectures, multimodal processing, AI avatars and cognitive services in Azure, working on scalable platforms aimed at automation and innovation.

Requirements

• Solid experience developing with advanced Python, working with Pandas, Scikit-learn and RESTful APIs
• Experience training and performing fine-tuning of LLMs in productive environments

Experience implementing RAG architectures on business documentation

• Experience working with vector databases and semantic searches: Pinecone / Weaviate / Chroma
• Experience using OpenAI API (GPT-4, DALL·E, Whisper, Codex) and Azure OpenAI Service
• Experience deploying open source models such as LLaMA in cloud infrastructure

Experience working with AI services in Microsoft Azure

• Experience in AI avatars, including: Python + visual synthesis techniques, Lip-sync and avatar control. With deployment of solutions in Azure
• Desirable

Knowledge of Java and/or C#

• Azure AI Engineer Associate Certification (AI-102/AI-103)
• Deep Learning Specialization
• Certifications in Hugging Face or LangChain

Responsibilities

Design, train and deploy generative AI models for different use cases

Implement fine-tuning and optimization techniques for LLMs

• Develop pipelines based on RAG (Retrieval-Augmented Generation) using vector bases and embeddings such as Pinecone or Chroma
• Implement solutions using: OpenAI API, Azure OpenAI Service, open source models such as LLaMA
• Work with frameworks and tools such as: LangChain, LlamaIndex, Hugging Face Transformers
• Integrate Azure cognitive services: Computer Vision, NLP, Sentiment Analysis, Form Recognizer
• Implement voice and transcription solutions using Whisper
• Participate in cloud deployments on Microsoft Azure
• Collaborate on CI/CD processes using Azure DevOps or GitHub Actions

We offer

100% remote work in time zone Mexico

Salary in USD

GCP / Azure certifications covered (if required and not possessed)

Referral Program

• Development within a Start Up in full growth
• Work in global and multicultural environments
• Originally posted on Himalayas