Full Stack Java Developer

Job Title: Full Stack Java Developer Location: Austin, TX Salary Range: $60/hr-$68/hr Introduction: We are seeking a passionate developer who can design, build, and integrate intelligent systems into scalable enterprise applications. The ideal candidate has a strong development background combined with hands-on experience using AI/ML tools, APIs, and frameworks. You'll work closely with cross-functional teams to design robust backend services and embed AI-driven capabilities such as natural language processing, recommendation systems, predictive analytics, and automation. Required Skills & Qualifications: Strong development experience with Java (Java 8, Spring Boot, REST APIs) and Angular JS Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn Experience integrating AI APIs (e.g., OpenAI, Hugging Face, Google Vertex AI) Solid understanding of data structures, algorithms, and software design patterns Familiarity with Python for ML model interaction or API wrapping Experience with Docker, Kubernetes, and cloud environments (AWS/GCP/Azure) Knowledge of SQL/NoSQL databases and data ingestion pipelines Experience working with Generative AI / LLM applications Exposure to LangChain, RAG architecture, or vector databases (Pinecone, FAISS) Understanding of the machine learning lifecycle (training, testing, deployment) Experience with event-driven systems (Kafka, RabbitMQ) Preferred Skills & Qualifications Applicants must be able to work directly for Artech on W2 Excellent communication and problem-solving skills Contribution to AI-based open-source projects or hackathons Day-to-Day Responsibilities Design and develop high-performance applications using Java and Angular JS Integrate AI models via REST APIs, Python services, or cloud AI platforms Collaborate with data scientists to deploy and optimize ML models in production Build APIs and microservices that enable intelligent data-driven features Implement data pipelines for AI workloads, ensuring scalability and reliability Evaluate and experiment with GenAI, LLMs, and AI APIs Maintain coding standards, CI/CD pipelines, and cloud deployment best practices Troubleshoot performance issues and ensure application reliability Company Benefits & Culture Inclusive and diverse workplace culture Opportunities for professional growth and development Engagement in cutting-edge AI and technology projects For immediate consideration please email at

Created: 2026-03-10