Software Engineer

Our client is a multinational IT consulting company, with presence in more than 45 countries across five continents. They are currently seeking a Software Engineer to join their team.

Mission:

As a Software Engineer in the Data Analytics team, you ll be responsible for building and deploying scalable GenAI solutions. You ll collaborate closely with data scientists and contribute to the development of production-ready systems that leverage cutting-edge technologies.

Main responsibilities/functions:

Develop and deploy GenAI solutions using Python and object-oriented programming (OOP) principles.

Implement and manage CI/CD pipelines using GitHub Actions.

Deploy solutions on AWS using CloudFormation.

Work with frameworks such as LangChain, LangGraph, Semantic Kernel, and Crew.ai.

Apply knowledge of Large Language Models (LLMs) and Prompt Engineering.

Build and deploy services using FastAPI on AWS.

Collaborate with data scientists to refactor analytics solutions for production, ensuring scalability and efficiency.

Support the development of ML/AI pipelines using Apache Airflow.

Key Competencies:

Software Development: Ability to build software products aligned with business and technical requirements.

Software Development Life Cycle (SDLC): Understanding of structured methodologies for delivering and managing software solutions.

Software Architecture & Design: Ability to translate requirements into scalable and maintainable software designs.

Technical Knowledge: Familiarity with the technical components and integration of software products.

Software Testing: Experience designing and executing testing strategies to ensure product quality and reliability.

Requirements:

Relevant corporate experience working with GenAI frameworks (such as LangChain, LangGraph, Semantic Kernel, and Crew.ai) and deployments.

Experience building chatbots (not just deploying someone elses work)

Python or Go is a must-have and OOP principles.

SQL is a must-have

Corporate experience implementing and managing CI/CD pipelines using GitHub Actions.

Corporate experience developing and deploying services using FastAPI.

Assist in the development of machine learning and AI pipelines using Apache Airflow.

Strong software development experience and solid understanding of OOP principles.

Proficiency in Python and/or GoLang for application development.

Experience with libraries such as FastAPI, LangGraph, and LangChain.

Hands-on experience with Git in medium to large development teams.

Excellent communication skills and experience working in cross-functional teams.

Experience deploying software using GitHub Actions or similar CI/CD tools.

Familiarity with AWS components such as SageMaker Studio, Lambda, API Gateway, and RDS.

Strong technical writing skills for documentation and collaboration.

Advanced verbal and written English communication skills.

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