AI Engineer

As an AI Engineer, you wont just write codeyoull architect, experiment, and build AI systems that power the future of software interoperability. Youll work directly with the founders, take ownership of major technical decisions, and help define the trajectory of our product and platform. We move fast. We build a lot. And we have fun while doing it.

Responsibilities

• Implement retrieval-augmented generation (RAG)pipelines to integrate LLMs with real-time data and context.
• Apply advanced techniques in prompt engineering, transfer learning, and custom model training.
• Optimize model performance and cost across production environments.
• Work with tools like Hugging Face, LangChain, OpenAI APIs, and vector databases(FAISS, Pinecone, Weaviate).
• Deploy scalable models using cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
• Collaborate with global teams and researchers in a fast-paced, remote-first setup.
  
  

• 4+ years of experience in AI/ML with deep exposure to Generative AI, LLMs, and NLP.
• Proficient in Python and at least one deep learning framework: PyTorch, TensorFlow, or JAX.
• Solid understanding of Transformer architectures(GPT, T5 BERT, Claude, Gemini, etc. ).
• Experience deploying models in production using cloud infrastructure and MLOps practices.
• Familiarity with SQL/NoSQL and data manipulation at scale.
• Excellent analytical skills and ability to break down complex problems into production-ready solutions.
• Comfortable working 5+ hours overlapping with Pacific Time (PT).
• Strong communication and asynchronous collaboration skills.