Full-Stack Generative AI Developer

Full-Stack Generative AI Developer

Seeking talented Full-Stack Generative AI Developer who will design, implement, and maintain cutting-edge AI-powered applications and services. In this role, developer will bridge the gap between advanced generative AI models and user-facing applications, creating intuitive interfaces for complex AI capabilities while ensuring robust, scalable, and efficient backend systems.

• Design and implement generative AI features leveraging models like GPT-5, Llama, or other foundational models
• Fine-tune and optimize AI models for specific use cases and domains (optional, good to have)
• Create prompt engineering frameworks and templates to ensure consistent AI behavior
• Develop retrieval-augmented generation (RAG) systems that combine vector databases with LLMs
• Working knowledge of LLM evaluation and observability platforms

• Build responsive, accessible web interfaces for AI-powered applications using modern frameworks (React, Vue, Angular, MUI)
• Design intuitive UIs that make complex AI capabilities understandable and usable
• Implement real-time features for AI interactions (streaming responses, progressive rendering)
• Develop visualization components for AI outputs and confidence metrics

• Create robust APIs on python and similar framework and services to interface with AI models and external services
• Design scalable architectures that can handle high-throughput AI inference
• Implement efficient data processing pipelines for AI training and inference
• Integrate with vector databases, document stores, and other AI-specific infrastructure

• Set up CI/CD pipelines for AI application deployment
• Implement monitoring, logging, and alerting for AI systems
• Optimize infrastructure for cost-effective AI deployment

• 3+ years of full-stack development experience (JavaScript/Type Script, Python(must))
• 1+ years working with AI/ML technologies, particularly generative AI
• Experience with at least one major LLM framework (Lang Chain, Langgraph)
• Proficiency with vector databases (Pinecone, Mongo, FAISS, etc.)
• Strong understanding of REST APIs, GraphQL, and microservices architecture (Optional, Good to have)
• Experience with Git, Github actions, cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

• Deep understanding of LLMs, including their capabilities and limitations
• Experience with prompt engineering and RAG architecture
• Knowledge of embedding models and vector similarity search
• Understanding of AI evaluation metrics and testing methodologies

• Experience developing commercial AI applications or products
• Knowledge of AI safety practices and responsible AI deployment
• Background in NLP, computer vision, or other AI specialties
• Experience with streaming architectures for real-time AI applications

• Bachelor's degree or higher in Computer Science, Software Engineering, AI/ML, or related field
• Relevant certifications in cloud platforms, AI frameworks, or software development

• Strong problem-solving skills with a creative approach to AI challenges
• Excellent communication skills to explain complex AI concepts to stakeholders
• Ability to stay current with rapidly evolving AI technologies and best practices
• Self-motivated with the ability to work independently and in cross-functional teams
• Keen interest in the ethical implications of AI technology

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.