About this role
The team is seeking a skilled Generative AI Engineer to develop and deploy intelligent, production-ready AI applications using large language models (LLMs) and agent-based architectures. The successful candidate will work on building innovative solutions that integrate enterprise data, APIs, knowledge repositories, and AI models to address real-world business challenges.
Key Responsibilities:
- Develop and implement RAG (Retrieval-Augmented Generation) and GraphRAG applications.
- Design and enhance semantic search capabilities and conversational AI systems.
- Create single and multi-agent workflows to optimize AI interactions.
- Build scalable Python services and RESTful APIs to support AI applications.
- Collaborate with cross-functional teams to gather requirements and deliver solutions.
- Conduct testing and validation of AI models to ensure performance and reliability.
Required Skills & Qualifications:
- Proven experience in developing AI applications, specifically with LLMs and agent-based systems.
- Strong proficiency in Python and experience with frameworks for building scalable services.
- Familiarity with semantic search technologies and conversational AI methodologies.
- Knowledge of integrating APIs and handling enterprise data.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
Experience:
- 5-8 years of relevant experience in AI engineering or a related field.
What we offer:
- An opportunity to work on cutting-edge AI technologies in a dynamic environment.
- A collaborative team culture that encourages innovation and professional growth.
- Access to ongoing training and development resources.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.