# sde 3

**at [Tech Plus](https://dev.jobs.curriculo.me/tech-plus)**

> About the Role We are seeking a highly skilled Software Development Engineer 3 to join our team, focusing on integrating Large Language Models (LLMs) into our products. This role offers the opportunity to work on cutting-edge technology, collaborating with a talented team to dri…

## Details

- **Type:** Full time
- **Location:** remote
- **Posted:** 2026-06-22
- **Reference:** ZPcwtv
- **Status:** OPEN
- **Canonical URL:** https://dev.jobs.curriculo.me/tech-plus/job/40166b1c-0610-4e87-876e-cf27a70deb87

## Description

## About the Role

We are seeking a highly skilled Software Development Engineer 3 to join our team, focusing on integrating Large Language Models (LLMs) into our products. This role offers the opportunity to work on cutting-edge technology, collaborating with a talented team to drive innovation and growth. As a key member of our engineering team, you will design, develop, and deploy scalable software solutions that leverage LLMs to enhance our product capabilities.

## Responsibilities

- Design and develop software applications that integrate LLMs to improve product functionality and user experience, ensuring seamless interaction between human and machine.
- Collaborate with cross-functional teams, including data scientists and product managers, to identify opportunities for LLM integration and develop solutions that meet business needs.
- Develop and maintain large-scale software systems, ensuring high performance, reliability, and scalability, with a focus on LLM-based features.
- Participate in code reviews and contribute to the improvement of the overall code quality, adhering to best practices and standards.
- Troubleshoot and resolve complex technical issues, using debugging tools and techniques to identify and fix problems.
- Develop and maintain technical documentation, including design documents, user manuals, and API documentation, to support LLM-integrated products.
- Stay up-to-date with industry trends and advancements in LLMs, applying this knowledge to continuously improve our products and services.
- Work closely with the testing team to develop and execute testing plans, ensuring that LLM-integrated features meet quality and functionality standards.
- Contribute to the development of automated testing frameworks and tools to support LLM-based product development.

## Requirements

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, with a strong foundation in computer science fundamentals.
- At least 5 years of experience in software development, with a focus on large-scale system design, development, and deployment.
- Proficiency in programming languages such as Python, Java, or C++, with experience in developing software applications that integrate with LLMs.
- Strong understanding of software engineering principles, including design patterns, testing, and validation, with experience in applying these principles to LLM-integrated systems.
- Experience with cloud-based technologies, such as AWS or Azure, and containerization using Docker, with a focus on deploying LLM-based applications.
- Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions, using tools such as debuggers and log analysis.
- Excellent communication and collaboration skills, with experience working in agile development environments and collaborating with cross-functional teams.
- Strong understanding of LLMs, including their capabilities, limitations, and applications, with experience in integrating LLMs into software applications.
- Experience with DevOps practices, including continuous integration and continuous deployment, with a focus on automating the deployment of LLM-integrated products.

## Nice to Have

- Experience with natural language processing (NLP) and machine learning (ML) technologies, including popular libraries and frameworks such as TensorFlow or PyTorch.
- Knowledge of software development methodologies, including Agile and Scrum, with experience in applying these methodologies to LLM-integrated product development.
- Experience with cloud-based machine learning platforms, such as AWS SageMaker or Google Cloud AI Platform, with a focus on deploying LLM-based models.
- Strong understanding of data structures and algorithms, with experience in optimizing the performance of LLM-integrated systems.
- Experience with container orchestration using Kubernetes, with a focus on deploying and managing LLM-based applications.

## Apply

Apply at the canonical URL: https://dev.jobs.curriculo.me/tech-plus/job/40166b1c-0610-4e87-876e-cf27a70deb87#apply

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