Ai Engineer

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