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LEAD SOFTWARE ENGINEER, AUSTIN (HYBRID)

Full Time

Job Description:

We are seeking a highly skilled AI Automation Engineer to design, build, and scale intelligent automation solutions across our organization. This role blends expertise in software engineering, AI/ML technologies, and process optimization to help automate workflows, reduce manual effort, and unlock productivity. You will work closely with cross-functional teams—including Product, Data, and Operations—to identify opportunities and implement solutions using tools like LLMs, APIs, RPA, and custom-built models.

Responsibilities:

  • Design and implement end-to-end automation workflows using AI and machine learning techniques, including natural language processing (NLP), computer vision, and generative AI (LLMs).

  • Build and deploy scalable automation systems that integrate with enterprise platforms (e.g., CRM, ERP, internal tools).

  • Collaborate with stakeholders to identify high-impact automation opportunities and develop proof-of-concepts (POCs).

  • Use tools like Python, LangChain, Airflow, OpenAI, Hugging Face, and automation frameworks to develop and deploy solutions.

  • Monitor and optimize performance of automated systems for reliability, accuracy, and scalability.

  • Maintain documentation and develop reusable components for future automation efforts.

  • Ensure compliance with security and data governance standards in automation workflows.

Required Skills:

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

  • 8+ years of experience developing production software

  • Experience acting in a senior/lead role wherein you contribute to architecture, design, and mentorship

  • Strong curiosity and desire to learn and try new technologies

Preferred Skills:

  • Preferred skills:Experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

  • Familiarity with CI/CD pipelines and DevOps practices.

  • Past experience integrating automation into business functions such as customer support, finance, legal, or sales operations.

  • Contributions to open-source AI tools or automation projects is a plus.

Kavitha K