Software Engineer – AI Prompt Engineer
At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Moody’s CRE provides a data driven analytics platform which supports agile investment teams, asset / portfolio managers, banks and brokers. Our SaaS solution offers vertical business intelligence, atomised rent roll analysis, and market analytics applying state-of-the-art big data and AI technologies. The platform makes holistic market data instantly accessible, creates transparency and thereby digitises the industry.
Be part of our journey! We are looking for a self-driven and passionate developer to join our tech team.
We are seeking a talented individual to join our team as an AI Prompt Improvement Engineer. In this role, you will play a pivotal part in enhancing our AI ecosystem by utilizing data science and backend engineering skills. Your primary focus will be on refining and optimizing prompts based on feedback from observability engineers and business analysts, ensuring top-notch quality while addressing edge cases and industry conventions.
- Utilize tools developed by observability engineers and insights gathered by business analysts to enhance existing prompts without compromising quality.
- Assess and modify prompts to address gaps, improve performance, and rectify hallucinations.
Skills Required:
- Proficiency in a blend of data science and backend engineering techniques.
- Extensive experience with AI ecosystems, including tools like LangChain, LangSmith, and proficiency in Python.
- A strong inclination towards curiosity and research, essential for identifying innovative solutions.
Tasks:
- Enhance current prompts to accommodate edge cases such as multiple currencies/measures, additional validations, synonyms, and industry-specific conventions.
- Collaborate with LangSmith and other models to develop optimal approaches for new use cases.
- Engage with fellow engineers to define tasks and implement technical enhancements, including tool and agent planning, data transformations, and aggregations.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, or related field.
- Proven experience in AI ecosystem development, preferably in prompt optimization or similar roles.
- Strong problem-solving skills with the ability to thrive in a collaborative team environment.
- Excellent communication skills and the ability to translate technical concepts for non-technical stakeholders.
Why Join Us:
Opportunity to work at the forefront of AI technology and contribute to impactful projects.
Collaborative and dynamic work environment fostering continuous learning and growth.
Competitive compensation package and benefits, including opportunities for professional development and career advancement.
If you are passionate about leveraging AI to drive meaningful improvements and thrive in a challenging yet rewarding environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of AI-powered systems!
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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