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Senior AI Developer
1 month ago
We are seeking a highly skilled Senior AI Developer to join our team at Lyssin, a cutting-edge SaaS platform specializing in AI-driven applications. As a key member of our team, you will be responsible for designing, developing, and deploying AI models that harness the power of Generative AI and Large Language Models (LLMs).
Key Responsibilities- Lead the development of 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.
- 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 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.
- Experience with CapacitorJS, Ionic, or other mobile development frameworks.
- Familiarity with MaterialUI, Atomic Design principles, and frontend frameworks.
- Experience in BedrockAnthropic or other advanced AI platforms.
- Experience in AI-powered chatbots and conversational AI solutions.
- 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.