Full Stack Engineer with LLM experience

Remote

KIS Solutions

KIS Solutions is a technology consulting company founded in 2012 with presence in the US and Brazil with clients all over the world. We provide and operate software systems for Fortune 500 clients as well as startups.​

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This is a remote position.

We are seeking a skilled and motivated professional to join our team as a Full Stack Engineer. In this role, you will be responsible for working on an innovative chatbot project that leverages machine learning and AI. You'll play a key role in evaluating and implementing technology solutions that support this AI-driven initiative, with a focus on both software engineering and LLM integration, Python. The project is for an American multinational company that specializes in the sale of health, personal care, and other products, with a presence in countries ranging from the USA and Canada to several Asian markets, including Japan and South Korea.


Responsibilities: 
  • Evaluate and implement technology options to support the AI and chatbot-related aspects of the application;
  • Design and implement features to advance and support the project;
  • Develop and maintain systems using the following technologies: Google Cloud Platform (GCP), PostgreSQL / Cloud SQL, ReactJS/NextJS, / Cloud Run, Python, Java / Spring Boot (backend-focused);
  • Integration with Generative AI providers;
  • Collaborate with the client and interact with team members, focusing initially on this project segment.


Requirements

  • Work experience with Python;
  • SQL Skills with PostgresSQL (basic queries, inserts, updates); 
  • Openness to learning and working on frontend tasks; 
  • Ability to work effectively in a collaborative team environment;
  • Excellent communication and presentation skills;
  • Advanced English (daily contact with international clients and teams). 

Desirables 
  • Familiarity with BigQuery, Dataflow, and other GCP services;
  • Work experience with Prompt Engineering and integration with Generative AI providers;
  • Experience in LLMs with professional projects
  • Experience with Java and Spring Boot

Benefits

Flexible work environment; 

Periodic feedback aiming at people development and career growth;

Legal Entity Contract.


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  6  2  0
Category: Engineering Jobs

Tags: BigQuery Chatbots Dataflow Engineering GCP Generative AI Google Cloud Java LLMs Machine Learning PostgreSQL Prompt engineering Python SQL

Perks/benefits: Career development Flex hours Health care

Region: Remote/Anywhere

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