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AI Python Developer (GenAI/LLM)

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Onsite

AI Python Developer (GenAI/LLM)

Swits Digital

AI Python Developer (GenAI/LLM)

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonData ScienceNumPypandasGitLabJenkinsMachine LearningAIAWSNo-code AutomationsNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


Job Title: AI Python Developer (GenAI/LLM)
Location: Mumbai
Experience: 5.1 -8 Years

Job Summary

We are looking for an AI python developer with a strong foundation in Data Science and hands-on experience in Generative AI, LLMs, NLP, and Python. The ideal candidate will design, develop, and deploy AI-powered solutions using Retrieval-Augmented Generation (RAG), vector databases, and in-house Large Language Models to solve real-world business problems.

Key Responsibilities

  • Collaborate with business stakeholders to identify AI-driven use cases.
  • Design, develop, and deploy GenAI solutions using LLMs.
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
  • Develop AI solutions for document search, classification, risk scoring, and workflow automation.
  • Perform data preparation, preprocessing, feature engineering, and annotation.
  • Integrate AI models into production environments via REST APIs.
  • Work with engineering teams to deploy scalable AI solutions.
  • Document AI models, workflows, and best practices.
  • Stay updated with advancements in Generative AI, NLP, and Machine Learning.

Mandatory Skills

  • Strong Python (3.x) programming.
  • Data Science: Pandas, NumPy, Scikit-learn, Jupyter Notebook.
  • NLP using Hugging Face, Transformers, spaCy.
  • Experience with Large Language Models (LLMs) and Prompt Engineering.
  • Hands-on experience with RAG Architecture.
  • Vector Databases (FAISS, Chroma).
  • Embedding Models and Semantic Search.
  • SQL and NoSQL Databases.
  • Data Engineering and Data Warehousing concepts.
  • REST API development.
  • Docker.
  • GitLab CI/CD or Jenkins.
  • Data Cleaning, Feature Engineering, and Data Preprocessing.

Good to Have

  • Fine-tuning LLMs.
  • Cloud platforms (AWS, Azure, GCP).
  • Data Lakes and Data Governance.
  • Banking or Financial Services domain experience.
  • MLOps knowledge.

Qualifications

  • B.E./B.Tech/M.E./M.Tech in Computer Science, IT, AI, Data Science, or related field.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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