Technical Specialist-App Development

Role OverviewA Generative AI Developer designs, builds, and deploys AI-driven applications using foundationmodels (e.g., GPT, Claude, Stable Diffusion). This role combines software engineering withadvanced AI techniques to create innovative solutions that generate text, images, audio, and othercontent autonomously.Key Responsibilities Model Development: Design and implement generative models (GANs, VAEs,transformer-based models like GPT/DALL·E). Fine-Tuning & Optimization: Train and fine-tune large language models (LLMs) anddiffusion models for domain-specific tasks. Prompt Engineering: Craft and optimize prompts for performance and accuracy. Data Handling: Preprocess and manage large datasets for training generative models. Integration: Build Retrieval-Augmented Generation (RAG) systems and integrate modelsinto production applications. Performance Monitoring: Evaluate model outputs for quality, bias, and reliability. Collaboration: Work with cross-functional teams (data scientists, product managers,engineers) to deliver AI-powered features. Research & Innovation: Stay updated on emerging generative AI techniques and tools.

Required Skills

 Programming: Proficiency in Python and frameworks like TensorFlow, PyTorch. AI/ML Expertise: Strong understanding of deep learning, NLP, and generative modelingtechniques. Foundation Models: Experience with LLM APIs (OpenAI, Anthropic, Hugging Face) andimage generation models. Data Engineering: Knowledge of vector databases (e.g., Pinecone, Weaviate) and datapipelines. System Design: Ability to architect scalable AI solutions. Soft Skills: Problem-solving, creativity, and collaboratio