Software Engineer – Python & LLM Systems
ConcentrixArgentina2 days ago
Full-timeEngineering, Information Technology
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We are looking for a Senior Developer for an important U.S.-based client.
Project: Acceleration of platform alignment and deployment repeatability to support large, complex customer engagements and regulated environments, with an emphasis on improving release velocity, architectural consistency, and time-to-market.
What You’ll Do
Project: Acceleration of platform alignment and deployment repeatability to support large, complex customer engagements and regulated environments, with an emphasis on improving release velocity, architectural consistency, and time-to-market.
What You’ll Do
- Design, develop, and maintain AI-powered services and internal tools using Python 3.
- Build, manage, and optimize projects using the Poetry build system.
- Develop and maintain CI/CD pipelines using CloudBees/Jenkins.
- Integrate and operate Large Language Model (LLM) frameworks such as LiteLLM and LangFuse (or equivalent tools).
- Design and implement AI agents using CrewAI, OpenAI agent frameworks, or similar platforms.
- Manage and maintain configuration across environments to ensure system consistency and reliability.
- Collaborate with cross-functional teams to translate business and technical requirements into scalable AI solutions.
- Implement testing, monitoring, and deployment best practices for AI systems.
- Participate in agile ceremonies and contribute to continuous improvement initiatives.
- Document technical solutions and share knowledge across teams.
- Strong experience with Python 3 in production environments.
- Hands-on experience with Poetry or similar Python dependency management tools.
- Experience building and maintaining CI/CD pipelines using CloudBees, Jenkins, or similar tools.
- Experience working with LLM frameworks such as LiteLLM, LangFuse, or equivalent.
- Experience developing or integrating AI agent frameworks (CrewAI, OpenAI Agents, or similar).
- Solid understanding of configuration management practices.
- Strong verbal and written English communication skills.
- Ability to collaborate effectively in cross-functional teams.
- Proactive mindset: comfortable asking questions and contributing ideas.
- Experience deploying AI systems in cloud environments (AWS, GCP, or Azure).
- Knowledge of MLOps or AI infrastructure best practices.
- Experience with observability tools for AI/ML systems.
- Familiarity with containerization (Docker, Kubernetes).
- Experience working in regulated or enterprise environments.
- Exposure to prompt engineering and model optimization techniques.
- Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
- 1–2 years of professional experience in software development or AI-related roles.
- Proven experience developing applications using Python.
- Basic understanding of CI/CD pipelines and automated deployment practices.
- Experience working in collaborative, agile development environments.
- Demonstrated ability to learn and adapt to new technologies quickly.
Key Skills
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