Posted:5 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title:

Python Developer

Location:

Bangalore
  • Total: 7–10 years
  • Relevant: 5–7 years in Python and related technologies

Role Overview

We are seeking an experienced

Python Developer

with strong expertise in Python programming, prompt engineering, and working with Large Language Models (LLMs) using AWS. The ideal candidate will have hands-on experience in automation and data science projects, with the ability to design, implement, and optimize Python-based solutions for high-scale environments.

Primary Responsibilities

  • Develop, test, and deploy Python applications, with a focus on LLM and prompt engineering on AWS.
  • Implement, fine-tune, and integrate Large Language Models for various business applications.
  • Collaborate with data science and automation teams to build AI-driven solutions.
  • Design efficient, reusable, and scalable code following best practices.
  • Participate in code reviews, debugging, and troubleshooting complex issues.
  • Automate workflows and data pipelines using Python and relevant tools.
  • Ensure proper documentation and adherence to security and compliance standards.
  • Stay up-to-date with emerging Python technologies, AI/ML frameworks, and cloud solutions (AWS).

Required Skills & Experience

  • Python Development: 5–7 years of relevant experience.
  • Prompt Engineering: Experience designing and optimizing prompts for AI/LLM systems.
  • LLM & AI/ML: Hands-on experience with Large Language Models using AWS services (SageMaker, Lambda, EC2, etc.).
  • Automation & Data Science: Knowledge of workflow automation, scripting, and data processing pipelines.
  • Cloud & DevOps: AWS (EC2, S3, Lambda, SageMaker), containerization, CI/CD familiarity.
  • Strong problem-solving and debugging skills.
  • Experience with Agile/Scrum methodology is a plus.

Secondary Skills

  • Experience with Python frameworks like Flask or FastAPI.
  • Familiarity with ML libraries such as TensorFlow, PyTorch, HuggingFace Transformers.
  • Knowledge of data processing tools like Pandas, NumPy, and SQL/NoSQL databases.
  • Experience in automating cloud-based pipelines.

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