GenAI Engineer within R&D Environment

Job Description As a GenAI Engineer, you will be responsible for designing and implementing AI systems, specifically focused on GenAI technologies. Your primary role will involve working within a Research & Development (R&D) environment to create agentic AI systems with a strong backend engineering background in Python. You will have the opportunity to leverage your 4+ years of hands-on experience in the field to develop multi-step workflows, agent orchestration, and implement solutions from proof of concept (PoC) to production. Key Responsibilities - Utilize your deep understanding of GenAI systems to design and implement agentic AI systems using LangChain or similar GenAI frameworks. - Work on agent orchestration and multi-step workflows to enhance the functionality and performance of GenAI systems. - Evaluate and validate GenAI responses to ensure accuracy and prevent stakeholder-facing errors. - Collaborate with cross-functional teams to take solutions from PoC to production, considering enterprise-grade requirements such as security, scalability, and reliability. - Stay updated on the latest advancements in GenAI technologies and apply them effectively in your projects. Qualifications Required - 4+ years of hands-on experience working with AI/GenAI systems. - Experience within a Research & Development (R&D) environment. - Strong backend engineering background with proficiency in Python. - Experience designing and implementing agentic AI systems, including tool-using agents. - Hands-on experience with LLMs and GenAI frameworks like LangChain or similar. - Deep understanding of GenAI systems, including limitations and failure modes. - Ability to evaluate and validate GenAI responses to prevent stakeholder-facing errors. - Experience in taking solutions from PoC to production and understanding enterprise-grade requirements such as security, scalability, and reliability. (Note: No additional details about the company are provided in the job description.) Job Description As a GenAI Engineer, you will be responsible for designing and implementing AI systems, specifically focused on GenAI technologies. Your primary role will involve working within a Research & Development (R&D) environment to create agentic AI systems with a strong backend engineering background in Python. You will have the opportunity to leverage your 4+ years of hands-on experience in the field to develop multi-step workflows, agent orchestration, and implement solutions from proof of concept (PoC) to production. Key Responsibilities - Utilize your deep understanding of GenAI systems to design and implement agentic AI systems using LangChain or similar GenAI frameworks. - Work on agent orchestration and multi-step workflows to enhance the functionality and performance of GenAI systems. - Evaluate and validate GenAI responses to ensure accuracy and prevent stakeholder-facing errors. - Collaborate with cross-functional teams to take solutions from PoC to production, considering enterprise-grade requirements such as security, scalability, and reliability. - Stay updated on the latest advancements in GenAI technologies and apply them effectively in your projects. Qualifications Required - 4+ years of hands-on experience working with AI/GenAI systems. - Experience within a Research & Development (R&D) environment. - Strong backend engineering background with proficiency in Python. - Experience designing and implementing agentic AI systems, including tool-using agents. - Hands-on experience with LLMs and GenAI frameworks like LangChain or similar. - Deep understanding of GenAI systems, including limitations and failure modes. - Ability to evaluate and validate GenAI responses to prevent stakeholder-facing errors. - Experience in taking solutions from PoC to production and understanding enterprise-grade requirements such as security, scalability, and reliability. (Note: No additional details about the company are provided in the job description.)