Cloud for Good is seeking a highly skilled and motivated AI Engineer to join our team in developing reusable AI-powered tools and components that drive automation, scalability, and efficiency across our technical delivery ecosystem. This role will focus on leveraging large language models (LLMs) to develop intelligent, context-aware automation tools, starting with a flagship tool that automates SQL script generation for data migrations and transformations.
You’ll work closely with solution architects and data engineers to build generative AI assets that can be integrated into repeatable client delivery workstreams—especially for nonprofit and education clients using platforms like Salesforce Nonprofit Cloud, Education Cloud, Salesforce NPSP, Raiser’s Edge, and Ellucian Banner.
Location: Jaipur, Rajasthan, India
Shift: EMEA/USA-East (1400 PM – 2300 IST)
Key Responsibilities
- Design and Develop AI-Powered Tools
Build generative AI tools and services, such as automated SQL generation engines, that reduce manual coding effort and increase accuracy.
- Prompt Engineering and Tuning
Craft and optimize prompts to drive high-quality outputs from foundation models. Fine-tune LLMs or use APIs to adapt model behavior to specific use cases.
- Integrate LLMs into Business Workflows
Embed LLM-powered components into scalable, reusable applications that can be integrated into delivery processes or client-facing solutions.
- Data Contextualization and Reasoning
Develop solutions that use structured or semi-structured data inputs to generate context-aware outputs, applying reasoning over business logic, schemas, or documentation.
- Leverage LLMs for Contextual Understanding
Develop tooling that uses large language models to interpret source data structures, target schemas, and mapping documents to generate tailored data migration scripts.
- Collaborate with Cross-Functional Teams
Work closely with data engineers, product managers, and solution architects to identify use cases and deliver effective AI-enhanced capabilities.
- Ensure Model Safety and Performance
Monitor and evaluate LLM-generated outputs for accuracy, safety, and consistency. Implement validation, fallback logic, and usage controls as needed.
- Drive Reusability and Knowledge Capture
Develop modular, reusable components that can be easily adapted for new use cases and contribute to a growing library of internal IP.
- Perpetually contribute to the betterment of Cloud for Good
- Be prepared to work in shifts to accommodate our global customer base across different time zones, including the AMER, APAC, and EMEA.
Qualifications:
- Proven experience building with LLMs or other generative AI models (e.g., OpenAI, Claude, or open-source frameworks like LLaMA).
- Strong background in Python, with hands-on experience using AI/ML libraries (e.g., LangChain, Hugging Face, transformers).
- Solid understanding of SQL and data engineering workflows, particularly related to data migration and transformation.
- Experience working with or integrating structured data systems like SQL, Salesforce, Raiser’s Edge, and Banner.
- Ability to build context-aware, prompt-engineered solutions that integrate with APIs or internal systems.
- Familiarity with MLOps or DevOps practices for deploying and monitoring AI applications is a plus.
- Excellent communication skills and ability to translate complex AI functionality into real-world business value.
Preferred Skills:
- Exposure to Salesforce ecosystem tools and data models.
- Experience contributing to internal toolsets or reusable IP in a professional services or consulting environment.
- Prior experience working with data migration frameworks or ETL pipelines.
Signs You May Be a Great Fit
- Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation.
- Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility.
- Growth: Access professional development opportunities, and mentorship from experienced peers.
- Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.
Disclaimers
- Equal Employment Opportunity
- At Cloud for Good, we are proud to be an Equal Opportunity Employer and adhere to the principles of Equal Employment Opportunity (EEO). We do not discriminate in employment decisions or practices on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected characteristic.
- Our commitment to non-discrimination applies across every location in which our company operates, and it encompasses all aspects of employment.
- Cloud for Good strongly encourages individuals from diverse backgrounds and identities to apply. Our commitment to diversity not only strengthens our workplace culture but also drives better outcomes for our clients.
- We value inclusivity and want applicants who may require special assistance or accommodation during the interview process to know we’re here to assist you.
- Use of AI in Interviewing
- At Cloud for Good, we believe in conducting interviews that are fair, equitable, and designed to evaluate candidates based on their qualifications and experience, with the organization. To ensure that all candidates are given an equal opportunity to demonstrate their abilities, we prohibit the use of AI or any other type of machine learning tools during the interview process.
- Candidates are expected to participate in the interview process remotely using video conferencing. Any attempt to use AI or similar technology to respond to interview questions, analyze or provide feedback on the interview process, or perform any other interview-related tasks is strictly prohibited and will be considered a violation of our policy.
- We understand that some candidates may have disabilities or other circumstances that require accommodation during the interview process. In such cases, we will make reasonable accommodations to enable candidates to participate in the interview process to the best of their ability. However, we do not permit the use of AI or similar technology as a substitute for direct participation in the interview.