Ind & Functional Decision Science Senior Analyst

Job Title: Ind & Func AI Decision Science Analyst (Prompt Engineer)

Location: Bangalore (BDC7C)

Experience Level: 2+ Years

About the Role

The Prompt Engineer will assist in developing and scaling Text2SQL frameworks and optimizing Retrieval-Augmented Generation (RAG) solutions for enterprise applications. This role involves designing prompts for large language models (LLMs), building AI agents, and supporting the creation of Q&A systems and chatbots. Collaboration with team members and maintaining documentation of development processes are essential components of this position.

Key Responsibilities

Assist in Framework Development:Support the creation and scaling of Text2SQL frameworks for enterprise applications.

Implement RAG Solutions:Help optimize Retrieval-Augmented Generation (RAG) frameworks to enhance accuracy and performance.

Prompt Design:Contribute to designing prompts for large language models (LLMs) to achieve desired outputs.

Build AI Agents:Assist in the development and deployment of AI agents using llama index and langchain frameworks.

Support Q&A Systems:Help develop conversational chatbots and Q&A systems for various datasets, both structured and unstructured.

Documentation:Maintain documentation of development processes and assist in ensuring best practices are followed.

Required
Qualifications

Education:Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Experience:2+ years of experience in developing AI/ML solutions, with a focus on LLMs preferred.

Technical Skills:Basic understanding of Retrieval-Augmented Generation (RAG) concepts and familiarity with Text2SQL frameworks.

Problem-Solving Abilities:Strong analytical skills with attention to detail.

Communication Skills:Good communication skills to collaborate effectively within a team.

Preferred Skills

Familiarity with natural language processing (NLP) techniques and libraries, such as transformers and embeddings.

Understanding of cloud platforms (AWS, Azure, GCP) for deploying AI/ML models.

Basic knowledge of MLOps practices and tools.

Proficiency in Python or other relevant programming languages is a plus.

Experience with API development and integration is advantageous.

Qualifications

Required
Qualifications

Education:Bachelors degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Experience:2+ years of experience in developing AI/ML solutions, with a focus on LLMs preferred.

Technical Skills:Basic understanding of Retrieval-Augmented Generation (RAG) concepts and familiarity with Text2SQL frameworks.

Problem-Solving Abilities:Strong analytical skills with attention to detail.

Communication Skills:Good communication skills to collaborate effectively within a team.

Preferred Skills

Familiarity with natural language processing (NLP) techniques and libraries, such as transformers and embeddings.

Understanding of cloud platforms (AWS, Azure, GCP) for deploying AI/ML models.

Basic knowledge of MLOps practices and tools.

Proficiency in Python or other relevant programming languages is a plus.

Experience with API development and integration is advantageous.