Design Python-based AI applications utilizing large language models

Develop and debug AI software components to ensure high performance

Engineer prompts and workflows to optimize LLM behaviors

Build and maintain REST APIs integrating AI functionalities

Research and evaluate emerging AI tools and frameworks

Collaborate with cross-functional teams in an agile environment

Stay updated with advancements in AI and implement new techniques

Support internal and external AI initiatives such as chatbot assistants and automation

Operate autonomously with strong ownership of deliverables

Communicate effectively with team members and stakeholders

Hands-on experience in Python application development and debugging with 2+ years

Strong expertise in prompt engineering and LLM behavior tuning

Deep knowledge of large language model architectures and use cases

Proficiency with Pydantic for data validation and settings management

Practical experience with AI frameworks like LangChain or similar

Familiarity with AI-powered engineering assistants such as GitHub Copilot or Gemini CLI

Experience with AWS cloud services and infrastructure components

Experience working in agile, project-based environments

Strong problem-solving and analytical skills

Upper-Intermediate English language proficiency (B2)

Experience with workflow automation platforms such as n8n, Make, or Zapier