Software Engineer - Python/ai Expert - Remote Eligible

Karax AI Software Expert Opportunity

Karax, a leading AI company specializing in digital twining software for materials, is seeking a full-time expert to optimize and digitize our customer support infrastructure. This role involves developing and implementing software projects to enhance customer support effectiveness, working closely with Karax's internal software development teams and external partners. The primary focus will be on predictive maintenance and machine learning algorithms integrated into software solutions delivered with Karax's aging and degradation modules. The position is remote/online, with the option to work from any of our offices in Michigan/Rhode Island.

We are looking for a coding expert with a strong understanding of Python, including:

• 3+ years in TensorFlow, PyTorch, Keras, or Scikit-learn.
• 3+ years in microservices.
• 3+ years in SpaCy, NLTK, or Hugging Face's.
• 3+ years in Tesseract, Google Vision API, or AWS Textract.
• 3+ years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.
• 3+ years in RESTful APIs and webhooks.
• 3+ years in SQL, R, and/or Pandas.
• 3+ years in cloud computing and software development.
• 3+ years software development in Python, Java, JavaScript.
• 3+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.

Minimum qualifications include:

• MS/PhD in CS/EE/CE/ME (or equivalent experience).
• Python proficiency (data wrangling, APIs, packaging); comfort on Linux and with Git.
• Built at least one LLM app using a framework such as LangChain, LlamaIndex, or Semantic Kernel.
• Hands-on with vector search (e.g., FAISS/Weaviate/Milvus) and embeddings; understands chunking, metadata, and hybrid search basics.
• Familiarity with RAG and prompt engineering; can measure quality (groundedness/relevance) and reduce hallucinations.
• Basic backend skills (REST/JSON, auth, environment secrets); experience containerizing with Docker.
• Comfortable reading technical manuals/logs and collaborating with non-software teammates.

Preferred background includes:

• Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces.
• Ability to design, develop, and deploy AI and machine learning solutions.
• Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
• Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing.
• Knowledge of NLP concepts like intent recognition, entity extraction, and context management.
• Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.
• Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract.
• Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.
• Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants).
• Experience in working with RESTful APIs and webhooks to enable backend communication.
• Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.
• Experience with Google Cloud Platform (GCP), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots.