We are seeking a Senior LLM & AI Voice Engineer to join our innovative engineering team and help develop scalable, high-performance language and voice AI capabilities. In this role, you will be responsible for designing and deploying advanced LLM services, Retrieval-Augmented Generation (RAG) pipelines, and AI-driven voice experiences that power next-generation applications. You’ll work cross-functionally with product, data science, and infrastructure teams to bring both text and voice-based AI interactions to life. If you’re passionate about large language models, voice AI, and building intelligent systems that scale to support hundreds of users per second, we’d love to connect. Role will be 100% remote and contract to hire. Apply today! Responsibilities • Design, implement, and maintain scalable LLM services using Python, AWS technologies, and APIs from providers such as OpenAI, Anthropic, and Meta. • Build and deploy AI voice solutions, including speech recognition, voice synthesis, and conversational agents, integrated into user-facing products. • Architect and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance contextual responses and accuracy of LLM outputs. • Collaborate with stakeholders to identify high-impact use cases for both LLMs and AI voice technologies. • Co-create and fine-tune prompts and voice workflows tailored to different user journeys and business needs. • Work with the data science team to fine-tune models and evaluate LLM/voice solution performance. • Ensure end-to-end performance, reliability, and security of AI applications, with a focus on supporting large-scale usage in real time. • Monitor and refine response times and voice quality to meet real-world interaction standards. • Stay current with the latest advancements in generative AI, voice AI, and NLP/LLM ecosystems. • Document technical designs, user flows, and best practices for both LLM and AI voice systems. • Mentor junior developers and contribute to internal knowledge sharing. Requirements • 5+ years of experience in Python software development, with at least 2 years focused on LLMs or voice AI applications. • Strong understanding of LLM technologies including prompt engineering, model tuning, and deployment. • Proven experience building AI voice solutions such as voice assistants, speech-to-text (ASR), and text-to-speech (TTS) systems using APIs (e.g., Google Cloud Speech, Amazon Polly, ElevenLabs, etc.). • Experience with cloud platforms such as AWS, GCP, or Azure. • Familiarity with vector databases such as Pinecone, Chroma, MongoDB, or LanceDB. • Hands-on experience with popular LLM frameworks like OpenAI GPT, Claude, or Hugging Face Transformers. • Demonstrated ability to build, automate, and scale distributed services. • Strong problem-solving skills and ability to work independently and in collaborative environments. • Excellent verbal and written communication skills. Bonus Points For • Experience with voice UX design or conversational AI interface development. • Knowledge of DevOps tools (e.g., Terraform, Prometheus) and containerized environments (Docker, Kubernetes). • Familiarity with CI/CD tools such as GitLab CI, ArgoCD, and Helm. • Experience with FastAPI, Django, or Streamlit for building production-ready applications