This is a remote position.

Job Title: Senior Generative AI Developer

Location: Remote

About the Company:

We are Lyssin, an innovative SaaS platform specializing in AI-driven applications. Our focus is on harnessing the power of Generative AI, Large Language Models (LLMs), and cutting-edge technologies to build scalable, high-performance solutions. Our goal is to transform the way businesses leverage AI by delivering intelligent, adaptive products.

Role Overview:

We are seeking a Senior Generative AI Developer with deep expertise in building and deploying AI models, specifically focusing on Generative AI, LLMs (e.g., GPT models), and the Retrieval-Augmented Generation (RAG) method. This role requires hands-on experience with OpenAI APIs, prompt engineering, and the full-stack development of AI-powered solutions. As a Senior Developer, you will lead initiatives in building scalable AI-driven applications, collaborating with cross-functional teams to design, implement, and optimize these solutions for real-world use cases.

Key Responsibilities:

• Lead the development of Generative AI applications using OpenAI models, LLMs, and the RAG method to enhance the accuracy and relevance of AI responses.

• Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality.

• Build and integrate AI models into scalable applications, using serverless architecture and cloud infrastructure (AWS preferred).

• Implement Retrieval-Augmented Generation (RAG) techniques, combining retrieval of relevant data with LLM responses for more accurate and context-aware outputs.

• Collaborate with product teams to integrate AI capabilities into the broader product ecosystem.

• Design and implement APIs that leverage AI models for real-time data processing and user interaction.

• Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications.

• Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability.

• Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features.

• Ensure the security, privacy, and ethical considerations of AI models are adhered to.

• Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities.

• Provide technical guidance and mentor junior developers in AI, LLM, and RAG projects.

Required Skills:

• 4+ years of experience in AI and machine learning development, with a focus on Generative AI and LLMs.

• Extensive experience with OpenAI, GPT models, and RAG (Retrieval-Augmented Generation) methodologies.

• Expertise in prompt engineering for AI-driven applications.

• Strong experience in full-stack development with technologies like NextJS, Node.js, and Python.

• Proven experience in building and deploying serverless architectures using AWS Lambda, API Gateway, and related services.

• Hands-on experience with NLP technologies and frameworks.

• Knowledge of API design, real-time data processing, and AI model optimization.

• Experience implementing RAG for AI applications where large knowledge bases or documents need to be integrated with LLM responses.

• Experience with cloud infrastructure, specifically AWS, for scalable AI model deployment.

• Familiarity with CI/CD pipelines and best practices for continuous deployment and integration.

• Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications.

Nice to Have:

• Experience with CapacitorJS, Ionic, or other mobile development frameworks.

• Familiarity with Material UI, Atomic Design principles, and frontend frameworks.

• Experience in Bedrock, Anthropic, or other advanced AI platforms.

• Experience in AI-powered chatbots and conversational AI solutions.

Benefits:

• Competitive salary with performance bonuses.

• Fully remote and flexible working environment.

• Opportunities to work with cutting-edge AI technologies and innovative product teams.

• Career growth in a rapidly evolving industry focused on Generative AI, RAG, and machine learning.