Gen AI Prompt Engineer - Natural Language to SQL Conversion (Contract - Full Time)

Key Responsibilities:

Prompt Engineering: Craft prompts for the LLM that effectively convert user-generated natural language queries into corresponding SQL statements.

Client Integration: Incorporate client-specific information, such as database schema and business rules, into the prompts to enhance the generated SQL’s accuracy and relevance.

Pipeline Development: Design and implement a semi-automated pipeline to test the effectiveness of the prompts using historical examples of natural language queries and their corresponding SQL outputs.

Collaboration: Work closely with Infosys Subject Matter Experts (SMEs) familiar with the database structure to evaluate and iteratively improve the generated SQL code.

Stay Informed: Continuously learn and apply the latest advancements in Gen AI prompt engineering and natural language processing (NLP) techniques.

Qualifications:

Proven experience in prompt engineering for large language models. (Minimum 6 months )

A strong understanding of natural language processing (NLP) concepts.

Solid knowledge of SQL syntax and database querying techniques.

Experience working with Generative AI models ( e.g., GPT-3.5,Gemini) is a plus.

Experience in developing and implementing automated testing pipelines is a plus.

Excellent written and verbal communication skills.

Ability to work effectively in a fast-paced and collaborative environment.

A passion for innovation and a desire to push the boundaries of AI technology.

Benefits:

Be at the forefront of a cutting-edge project that has the potential to revolutionise data access and analysis.

Work with a talented team of engineers and data scientists at a leading company.

Opportunity to learn and grow your expertise in the rapidly evolving field of Generative AI.

Competitive salary and benefits package for a contract-to-hire position.

Ready to join the AI revolution? Apply today!

Please note that this is a contract-to-hire full-time position.

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Cydra Tech

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