Java Engineer with AI expertise

We are looking for a Java Engineer for an innovative AI startup building an AI-powered workflow automation platform. We are looking for a highly skilled engineer to join our client team during the MVP phase and grow with us as we scale our product.

This role offers a long-term opportunity to shape the future of AI-driven automation systems, contributing to the design, development, and optimization of cutting-edge AI models and architectures. If you are passionate about AI and software engineering, this is the perfect role for you!

Key Responsibilities:

• Design, develop, and maintain scalable microservices-based systems.
• Implement AI/ML models and integrate them into production systems.
• Optimize AI systems using Retrieval-Augmented Generation (RAG), embeddings, and multi-modal architectures.
• Develop and test AI workflows, ensuring robustness, performance, and reliability.
• Troubleshoot AI pipelines and resolve issues to maintain system performance.
• Collaborate with cross-functional teams to design AI-powered solutions aligned with business objectives.
• Apply AI ethics principles, including fairness, transparency, and bias mitigation strategies.
• Conduct prompt engineering to design, test, and refine prompts for AI systems.

Required Skills & Qualifications:

• AI/ML Development Experience: Hands-on experience building AI/ML solutions with frameworks such as TensorFlow, PyTorch, and similar technologies.
• Programming Proficiency: Strong expertise in Java and Python, with a focus on AI-driven applications.
• AI/ML Expertise: Solid understanding of AI algorithms and architectures, particularly in multi-modal and retrieval-augmented generation (RAG) models.
• Microservices Architecture: Familiarity with scalable and modular microservices development practices.
• AI Tools Proficiency: Experience with tools like LangChain, LangGraph, and LlamaIndex for AI system development.
• Model Optimization Techniques: Expertise in embeddings, transfer learning, and fine-tuning models for enhanced performance.
• AI Ethics Knowledge: Awareness of fairness, transparency, and bias mitigation strategies in AI development.
• Problem-Solving Skills: Strong debugging and troubleshooting capabilities in AI pipelines and models.
• Prompt Engineering Skills: Experience designing, testing, and refining prompts for AI performance optimization.

Nice-to-Have Skills:

• Familiarity with cloud services (e.g., AWS, Azure, or GCP) for AI deployment.
• Experience with DevOps practices for CI/CD pipelines.
• Knowledge of database systems, APIs, and data modeling.

Why Join Us?

• Opportunity to work with cutting-edge AI technologies in a high-impact industry.
• Long-term growth potential as the product matures.
• Remote work schedule with alignment to CST.
• Be part of a dynamic and collaborative startup environment focused on innovation.