Redian Software - Senior Generative AI Developer - Python/Tensorflow

Hiring: Generative AI Senior Developer Location : Gurgaon (Hybrid Mode) Experience : 610 Years (Min. 2+ years in GenAI) Key Responsibilities Design, develop, and optimize Generative AI models using LLMs (e.g., GPT, LLaMA, PaLM, Claude) and diffusion models. Build scalable training and deployment pipelines for custom foundation models and fine-tune existing LLMs on domain-specific datasets. Collaborate cross-functionally with product managers, data scientists, and engineering teams to integrate GenAI into real-world applications. Implement prompt engineering and retrieval-augmented generation (RAG) techniques to improve output quality and relevance. Develop and maintain APIs, tools, and SDKs to enable GenAI-driven features across products. Stay updated with the latest in AI research and translate cutting-edge advancements into production-ready solutions. Ensure responsible and ethical AI usage, actively mitigating model biases and risks. Continuously optimize performance, latency, and scalability of deployed AI services. Required Skills & Experience 6 to 10 years of experience in AI/ML development, including 2+ years in Generative AI. Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. Strong knowledge of NLP, transformers, embeddings, and attention mechanisms. Hands-on experience with tools like Hugging Face Transformers, LangChain, and OpenAI APIs. Practical exposure to vector databases (e.g., FAISS, Pinecone, Weaviate). Experience in building and deploying LLM-powered applications, such as intelligent chatbots or content generators. Familiarity with MLOps practices, including model versioning and deployment tools (Docker, Kubernetes, MLflow). Experience with cloud platforms: AWS, Azure, or GCP. Preferred Qualifications Masters or Ph.D. in Computer Science, AI/ML, Data Science, or related field. Publications or active contributions to AI research communities (e.g., NeurIPS, ICML, arXiv). Experience working with multi-modal models (text + image/audio). Knowledge of Responsible AI, hallucination mitigation, and bias detection (ref:hirist.tech) Show more Show less