Ai Engineer

Broadvoice Logo

Broadvoice

📍Remote - Portugal

Summary

Join Broadvoice as an AI Engineer specializing in Large Language Models (LLMs) to lead research and development initiatives enhancing internal processes and customer-facing products. This role involves experimenting with state-of-the-art LLMs, optimizing their performance, and integrating them into scalable solutions. You will research and develop LLM-powered solutions, apply prompt engineering, explore RAG approaches, and collaborate with engineering and product teams. Staying updated on AI trends and assessing third-party tools is also crucial. Broadvoice offers a remote-first approach, focusing on work-life harmony and career growth opportunities.

Requirements

  • Master’s in Artificial Intelligence, Computer Science, Data Science, or a related field (or equivalent experience)
  • Proven experience working with LLMs, NLP and machine learning
  • Strong experience with Node.js (JavaScript/TypeScript) and working with RESTful APIs and WebSockets
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) methodologies

Responsibilities

  • Research and experiment with LLMs (e.g., OpenAI, Anthropic, Mistral, Llama) to identify potential applications in automation, customer interactions, and internal processes
  • Develop and fine-tune LLM-powered solutions, focusing on areas such as chatbots, intelligent assistants, and knowledge retrieval
  • Apply prompt engineering techniques to improve model performance for Broadvoice’s use cases
  • Explore and implement retrieval-augmented generation (RAG) approaches, integrating LLMs with structured company knowledge bases
  • Collaborate with engineering and product teams to integrate AI-powered features into Broadvoice’s products and services
  • Stay updated on emerging AI trends and assess third-party AI tools that could accelerate development

Preferred Qualifications

  • Experience with fine-tuning and deploying models in cloud environments (AWS, Azure, or GCP)
  • Passion for exploring and implementing the latest advancements in AI and LLMs
  • Critical thinking and problem-solving mindset
  • Strong communication skills

Benefits

  • Remote-first approach and focus on work-life harmony
  • Support for career journey with clear growth paths, access to learning resources, and mentorship

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.