Senior Software Engineer

• *Responsibilities**

• **RAG Architecture \& Pipeline Design**

§ Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases AI responses.

• **Vector Search \& NLP**

§ Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features.

• **MCP Server Development**

§ Design and deploy MCP to bridge LLM with existing Data sources for real\-time Retrieval.

• **Generative AI Integration**

§ Utilize LLMs to synthesize retrieved data into accurate, user friendly natural language responses.

• **Performance Optimization**

§ Evaluate and optimize the end\-to\-end latency of search and generation.

• **Data Analysis**

§ Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that can inform business decisions.

• **Technical Leadership**

§ Lead code reviews, ensuring adherence to coding standards, best practices, and quality requirements.

§ Act as a technical point of contact for complex database issues, offering solutions and recommendations to resolve them.

• **Project Coordination and Stakeholder Collaboration**

§ Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.

• **Quality Assurance and testing**

§ Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing.

• **Continuous Improvement**

§ Stay up\-to on the latest tools, techniques, and best practices.

§ Identify opportunities for process improvements, optimizations, and automation.

• **Documentation and Standards**

§ Ensure adherence to data governance and regulatory requirements, including security and compliance standards.

Contributing Responsibilities

• Design, develop, implement and maintain AI/LLM products to solve specific business use cases.
• Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features.
• Design and deploy MCP to bridge LLM with existing Data sources for real\-time Retrieval.
• Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases AI responses.
• Explore and understand the CRM data, including customer demographics, behavior, and transactional data.
• Develop and train predictive models using various machine learning algorithms and techniques.
• Deploy models in production environments, such as CRM systems.
• Monitor model performance, identify areas for improvement, and retrain models as necessary.
• Generate insights and recommendations based on data analysis and modeling results.
• Communicate insights and results to stakeholders, including business leaders.
• Identify opportunities to improve CRM data quality, processes, and systems.
• Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.

• *Technical \& Behavioral Competencies**

Python, R, SQL

Machine learning algorithms

PyTorch or TensorFlow

• *Specific Qualifications:**

Data Scientist

• *Skills Referential (Required knowledge, skills and abilities)**

• *Technical Skills:**

• + Python

+ Sql/Pl\-Sql

+ Machine learning algorithms

+ RAG / Architecture

+ CRM Schema

• *Behavioral Skills:**

• + Active listening

+ Client focused

+ Communication skills \- oral \& written

+ Ability to deliver / Results driven

• *Education Level:** Any Graduation/Post Graduation

• *Location:** Mumbai