AI Language Engineer - Remote Position

About the Role

We are seeking a talented AI Language Engineer to join our innovative team at Cresta. As an AI Language Engineer, you will work remotely to design, build, and enhance natural language systems that power intelligent products and experiences, spanning both text and speech domains. This role combines linguistic insight, applied NLP expertise, and AI engineering execution to advance language understanding, generation, and evaluation across real-world applications.

What You'll Do

• Design, develop, and refine large language model (LLM) workflows, including context engineering, prompt design, and evaluation frameworks to steer and improve model behaviors.
• Build language processing components for features such as intent detection, entity recognition, summarization, retrieval-augmented generation (RAG), and conversational response quality.
• Develop speech-to-text (ASR) and text-to-speech (TTS) workflows and evaluation frameworks, bridging audio-feature/signal-level processing with LLM-driven reasoning and orchestration.
• Fine-tune and evaluate models using quantitative and qualitative metrics to ensure robust performance across tasks.
• Analyze model outputs and conversational data to identify patterns, gaps, and failure modes, translating findings into actionable improvements.
• Drive R&D-style exploration on cutting-edge speech and language systems, rapidly prototyping novel approaches and validating them through rigorous experimentation.
• Collaborate with software developers to integrate language models into production systems and ensure scalable deployment.
• Document methodologies, evaluation findings, best practices, and language guidelines to promote shared knowledge and reproducible workflows.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI, Machine Learning, Linguistics, Cognitive Science, or a related field.
• Demonstrated experience applying NLP concepts and techniques (classification, entity extraction, semantic analysis, summarization, prompting, RAG).
• Strong programming skills in Python with familiarity in NLP/AI frameworks (e.g., Hugging Face Transformers, TensorFlow, PyTorch).
• Excellent analytical skills and ability to diagnose and communicate model behavior, linguistic patterns, and performance trade-offs.
• Strong collaboration and communication skills across technical and non-technical stakeholders.

Nice to Have

• Doctor’s degree in a related field.
• Familiarity with multilingual NLP challenges and cross-locale language modeling.
• Experience with speech processing (ASR/TTS), including audio feature pipelines or research in phonetics.

What We Offer

• Competitive salary and benefits package.
• Flexible remote work environment.
• Opportunities for professional growth and development.
• Collaborative and inclusive company culture.
• Work on cutting-edge AI technologies and projects.