- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 3 weeks ago
- Work mode
- In office
- Education
- Any Graduate
- Eligibility
- Open to any graduate who fulfills the skill criteria.
- Resume
- Required to apply
Where you'll work
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Job description
About the Role
Yantran is seeking a proficient Generative AI Engineer to architect, create, and implement AI-driven software solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) techniques, AI agents, and contemporary generative AI frameworks.
Key Responsibilities
- Design and build enterprise-grade generative AI applications utilizing LLMs.
- Develop applications based on RAG methodology tailored for enterprise datasets.
- Integrate APIs from leading LLM providers including OpenAI, Azure OpenAI, Anthropic, Google, among others.
- Create and refine prompt templates and establish evaluation criteria for outputs.
- Construct AI agents and implement workflows involving tool-calling mechanisms.
- Deploy vector databases and implement semantic search capabilities.
- Develop and maintain robust APIs and scalable AI services suited for production environments.
- Enhance model efficiency with a focus on reducing latency and operational costs.
- Ensure adherence to ethical AI principles, security standards, and responsible AI usage guidelines.
- Work collaboratively with cross-functional teams including data scientists, software engineers, and business stakeholders.
Required Qualifications and Skills
- Proficiency in generative AI technologies and Large Language Models.
- Strong skills in Python programming language.
- Experience working with OpenAI or Azure OpenAI APIs or similar large language model interfaces.
- Knowledge of Retrieval-Augmented Generation methodologies.
- Familiarity with vector databases implementation and management.
- Hands-on experience with frameworks such as LangChain or LlamaIndex.
- Ability to perform prompt engineering effectively.
- Experience in creating and utilizing RESTful APIs.
- Comfortable working with cloud platforms including Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
- Foundational understanding of machine learning concepts and principles.
Eligibility
Applications are open to any graduate meeting the skill requirements.
Minimum education
Bachelor's Degree