GenAI Engineer:

Responsibilities:

• Design and develop Generative AI applications and solutions using LLMs and open source frameworks.
• Prototype and experiment with new GenAI techniques and approaches.
• Contribute to the development, integration and improvement of internal GenAI service or tools.
• Implement performance efficient RAG, Fine tuning models and Prompt engineering techniques with GenAI solutions.
• Collaborate with application team on user needs and translate them into actionable GenAI solutions.
• Communicate effectively with technical and non-technical stakeholders.
• Stay up-to-date on the latest advancements in Generative AI research and development.

Qualifications:

• Bachelor's degree with 4-6 years of AI/ML experience.
• Experienced in developing GenAI applications and integration of GenAI with existing applications.
• Strong understanding of machine learning concepts and algorithms, especially related to Generative AI and LLMs.
• Experienced with Open source frameworks like langchain and llamaindex, RAG, Prompt engineering and fine tuning LLM models, NLP and other relevant AI subfields.
• Experience with Python and other relevant programming languages (e.g., Java, JavaScript).
• Experience with building and deploying ML models is preferred.
• Excellent communication, collaboration, and problem-solving skills.
• Strong curiosity and a passion for learning and exploring new technologies.
• Ability to work independently and as part of a team.

• Experience with cloud platforms (e.g., AWS, Azure and GCP).
• LLMOps/MLOps experience.