AI Automation Developer

Job Summary:

We’re seeking a highly skilled AI Automation Developer with expertise in Large Language Models (LLMs), Agentic flows, and automation using Python and other scripting languages. The ideal candidate will have a strong background in AI, automation, and software development – with a passion for building innovative, scalable solutions.

Key Responsibilities:

  • Design, develop, and deploy AI-powered automation solutions using LLMs, Agentic flows, and Python

  • Collaborate with cross-functional teams to identify automation opportunities and deliver impactful solutions

  • Build and maintain complex automation workflows using Python, shell scripts, and other scripting tools

  • Integrate AI models with data sources, APIs, and third-party systems for seamless automation

  • Troubleshoot, debug, and optimize automation processes to ensure high performance and reliability

  • Stay up-to-date with advancements in AI, automation, and relevant technologies

  • Participate in code reviews and contribute to writing clean, maintainable, and efficient code

Requirements:

  • 3+ years of experience in AI automation development, with a focus on LLMs and Agentic flows

  • Strong proficiency in Python and experience with other scripting languages (e.g., Bash, Perl)

  • Hands-on experience with automation frameworks/tools (e.g., Ansible, SaltStack)

  • Solid understanding of AI/ML principles, especially Natural Language Processing (NLP)

  • Experience with cloud-based AI platforms (e.g., Google Cloud AI Platform, AWS SageMaker)

  • Excellent analytical and problem-solving skills

  • Strong collaboration and communication skills; experience working in cross-functional environments

  • Bachelor’s degree in Computer Science, Engineering, or a related field

Nice to Have:

  • Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes)

  • Familiarity with agile methodologies (Scrum, Kanban)

  • Experience with CI/CD pipelines and automated testing

  • Knowledge of data analytics and visualization tools (e.g., Tableau, Power BI)