Senior Software Engineer

The company is a Fortune 500 company and selected by Fortune as one of America s most admired co .
The company is the financial services industry and specialises in Title Insurance, Commercial and Residential Insurance, annuity and life insurance products. They have over 25000 employees worldwide in 20 countries and operate in over 1200 locations across the United states.

ROLE: Senior Software Engineer
Total Exp: 4 6. 6 Years Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B. Tech/MCA/M. Sc/MCM/M. Tech/Phd Job Description 4 - 6 years` experience with managing codebases, software builds, and deployments. Must have a proven record of managing a complex codebase and solving challenging business problems in creating, enhancing, and optimizing AI-generated text prompts to make sure they are precise, interesting, and applicable to diverse applications (Show Less) Work Experience & Requirement details: 4-6 Yrs of experience in techno-functional role (Either . Net Dev or BA) Proven work experience as a Prompt engineer Good written and verbal communication skills. Knowledgeable in programming languages, AI-related tools like Chat GPT, and data analytic approaches. Experience in Tools like Copilot Studio, ChatGPT Enterprise, MS Prompt Flow is MUST. Through knowledge of AI-generated content generation, machine learning, and natural language processing. Superior analytical and problem-solving abilities. 8. The ability to collaborate well across functional lines. Job Responsibilities Create, develop, and improve AI-generated text prompts for a variety of applications. Work together with product teams, data scientists, and content creators to make sure that material is quickly aligned with business objectives and user demands. To pinpoint areas for improvement, track and evaluate quick performance. Improve the AI prompt creation process to improve system performance. Keep abreast of the most recent developments in artificial intelligence, natural language processing, and machine learning. Help the content and product teams comprehend efficient engineering best practices. Create and disseminate reports on timely performance and development progress