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Open nowPosted 111 days ago

Senior Software Engineer

Workable (global search)108,016 open roles

Where
Mumbai, MH, India
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Your applicationOpen nowSenior Software EngineerWorkable (global search) · Mumbai, MH, India

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 111 days ago

Workable (global search) median: 7 days open

The posting

Responsibilities

  1. RAG Architecture & Pipeline Design

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

  1. Vector Search & NLP

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

  1. MCP Server Development

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

  1. Generative AI Integration

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

  1. Performance Optimization

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

  1. Data Analysis

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

  1. 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.

  1. Project Coordination and Stakeholder Collaboration

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

  1. Quality Assurance and testing

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

  1. Continuous Improvement

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

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

  1. 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

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