[Hiring] Senior NLP/LLM Engineer @Synthflow

This is a fully remote role, allowing you to work from anywhere in the world.

At Synthflow we’re building the easiest way for businesses to create AI-powered phone agents. No coding, no fuss—just smarter automation. We’re passionate about delivering the future of voice technology with lightning-fast, scalable solutions. It’s an exciting time at Synthflow: we’re early, fast-growing, and laser-focused on impact. Join us to do the best work of your career while helping businesses thrive.

We’re looking for a Senior NLP Engineer to create groundbreaking LLM applications.

• Develop and enhance large language models (LLMs) for various NLP tasks including text generation, language understanding, and conversational AI.

• Implement state-of-the-art machine learning techniques for natural language processing and ensure their integration into our product infrastructure.

• Collaborate with cross-functional teams to translate business and technical requirements into robust NLP solutions.

• Conduct experimental design and hypothesis testing to evaluate model performance and iterate based on results.

• Stay abreast of the latest developments in NLP and LLM research to continuously innovate and apply best practices to our projects.

• Passionate about NLP and experienced in building and deploying large language models.

• Skilled in programming, particularly in Python, and familiar with NLP libraries such as Hugging Face Transformers, NLTK, or spaCy.

• Adept at working in fast-paced environments and translating complex technical challenges into actionable solutions.

• Strong communicator with the ability to collaborate effectively with both technical and non-technical team members.

• Master’s degree in Computer Science, AI, Linguistics, or a related field.

• At least 4 years of experience in NLP or related fields, with a strong focus on machine learning.

• Proficiency in machine learning frameworks such as TensorFlow or PyTorch.

• Demonstrated experience with model training, LLM fine-tuning, and deployment in a production setup.

• Autonomy at speed: High-ownership roles in a fast-moving startup.

• Remote-first flexibility: Contribute from anywhere, on your schedule.

• Cutting-edge technology: Work on what interests you most.

• Career growth: Scale your impact as the company grows.

• Rewarding package: Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.