Back
Mid-level GenAI role with strong applicant interest and niche skills, moderate competition.
GenAI-specific LLM, RAG, and fine-tuning expertise restricts cross-domain transferability.
Requires specific 2–3 years GenAI experience and multiple mandatory technical skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and build AI-powered features using GenAI models and APIs for text, image, and multimodal tasks, including fine-tuning open-source models for domain-specific use cases.
Develop and manage prompt engineering pipelines and Retrieval-Augmented Generation workflows with vector databases to ground AI outputs in proprietary data.
Oversee the end-to-end lifecycle of AI features including integration, deployment, performance optimization, and ethical AI practices across products in collaboration with engineering and product teams.
2-3 years of hands-on experience building applications using GenAI/LLM APIs (OpenAI, Anthropic, Google, etc.).
Strong Python programming skills with experience in production AI API orchestration.
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent practical experience).
Experience with prompt engineering, fine-tuning pre-trained/open-source models (LoRA/QLoRA/PEFT), and building RAG pipelines using vector search technologies.
Experienced with multiple GenAI frameworks and vector database integrations, able to build complex multi-step AI workflows and agents.
Able to handle end-to-end AI feature lifecycle including model selection, evaluation, and cost-performance optimization in production environments.
Familiar with transformer architectures, ethical AI practices, and collaborating cross-functionally to embed AI capabilities in products.