Develop AI applications in Python utilizing large language models

Debug and enhance AI software components for optimal performance

Craft and refine prompts and workflows to improve LLM effectiveness

Construct and manage REST APIs with integrated AI features

Investigate and assess new AI technologies and tools

Engage in agile collaboration with multidisciplinary teams

Keep abreast of AI advancements and apply novel methods

Support AI projects including chatbot development and process automation

Work independently with strong accountability for deliverables

Communicate clearly with stakeholders and team members

Proven experience developing and debugging Python applications with at least 3 years

Strong proficiency in prompt engineering and fine-tuning large language models

Comprehensive understanding of large language model architectures and applications

Skilled in using Pydantic for data validation and configuration management

Hands-on experience with AI frameworks like LangChain or equivalent

Knowledge of AI-driven engineering assistants such as GitHub Copilot or Gemini CLI

Familiarity with AWS cloud services and related infrastructure

Background in agile, project-oriented environments

Excellent problem-solving and analytical capabilities

Upper-Intermediate level English proficiency (B2)

Familiarity with workflow automation tools like n8n, Make, or Zapier