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.?

• Stay current with industry trends,?new technologies, and emerging methodologies in data science and CRM.?

• Excellent Communication and Listening Skills, attention to details is?must

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