Description Crafting effective prompts that guide AI models toward specific outputs, considering the model's strengths and weaknesses Experimenting with different prompts, analyzing the AI's responses, and iteratively refining prompts for improved results Creating a collection of prompts for various tasks, applications, and scenarios, ensuring they are well-documented and easy to use Collaborating with product teams, data scientists, and engineers to integrate prompts into existing workflows and applications Using prompts to train and fine-tune AI models, improving their ability to understand and respond to user input Working with cross-functional teams to understand user needs, gather feedback, and ensure prompts meet specific requirements Ensuring that AI prompts are used responsibly and ethically, considering potential biases and unintended consequences Ensuring accuracy and precision in prompt design and testing, paying close attention to detail in AI responses Requirements Bachelor’s degree in computer science, Engineering, or a related field 01 to 04 years of professional experience as an AI Prompt Engineer Familiarity with Git, RESTful APIs, Agile methodologies, and Azure-based deployments Understanding of NLP, ML, and AI principles, with familiarity and demonstrated hands-on experience with any one or few of the various AI models and tools like ChatGPT, Copilot, Claude, Gemini, Dall-E, PyTorch, Jax, Bolt.New, Cursor, Windsurf, Microsoft Intellicode, Tabnine, MS Power Platform Ability to craft clear, concise, and effective prompts that communicate complex information to AI models Analyzing AI outputs, identifying areas for improvement, and developing systematic prompt evaluation methodologies Troubleshooting issues with AI prompts, identifying and addressing potential biases, and ensuring AI responses align with user intent Effectively communicating technical concepts to non-technical stakeholders, collaborating with cross-functional teams, and gathering feedback Preferably candidates graduated from Premier Institutes (i.e., IIT, NIT, BITS...) Show more Show less

Description End-to-End AI Development: Co-own the entire lifecycle of AI-powered feature and application development, from ideation to production / integration, leveraging AI development tools (Cursor, Bolt, etc.) to drive speed-to-output. Collaboration & Leadership: Work closely with R&D, QA, and software teams to build and integrate AI-driven functionality into our existing software. AI Roadmap Speed to Execution: drive speed to execution on AI feature roadmap, balancing long-term vision with immediate execution. Rapid Prototyping & Iteration: Move fast, build MVPs, and continuously refine AI-driven features for real-world application. Technical Execution: Implement AI models, APIs, and automation solutions that enhance our product suite. Scaling AI Applications: Optimize and productionize AI features, ensuring scalability and efficiency. Requirements Full Stack Engineering: Strong proficiency in backend and frontend development. AI & Machine Learning: Experience working with AI APIs (OpenAI, Google Vertex AI, Hugging Face, etc.), LLMs, or building AI-driven applications. AI Development Tool Experience: Experience working with AI development tools (eg. Cursor, Bolt, etc.) to drive speed-to-output and reduce manual work when coding (both legacy applications and AI features / functionality). Cloud & Databases: Familiarity with cloud-based deployments, relational (MySQL/Oracle) and non-relational (MongoDB) databases. Fast Execution: Ability to move quickly, iterate, and optimize AI-based solutions. Show more Show less