Senior AI Workflow Engineer

What you'll do

• Design and implement AI workflow optimizations and agents for software development processes.
• Measure the effects of AI interventions using metrics such as cycle time, change failure rate, and MTTR.
• Build predictive models to identify high-risk commits and forecast build or change failures.

What they ask for

• BE (MS preferred) or equivalent experience in EE/CS.
• Well versed with Large Language Mode (LLM), Machine Learning (ML), Agentic AI techniques, with hands-on experience using LLMs and implementing AI for software engineering workflows.
• Hands-on experience with Python/Java/Go and extensive Python scripting experience.
• Experience with SQL/NoSQL databases, full-stack development, CI/CD tools, distributed systems, microservices, and REST APIs.

Nice to have

• Knowledge of build tools like Make, Maven or Ant.
• Experience with retrieval-augmented generation (RAG), fine-tuning LLMs on enterprise data, or developing large service-oriented software projects with real-time constraints.

Pay

184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)

Tools

Large Language Mode (LLM), Machine Learning (ML), Python, Java, Go, MySQL, MongoDB, Elasticsearch

AI focus

Use Large Language Models and agentic AI to automate software engineering workflows; develop predictive models for commit and build risks; measure productivity and reliability improvements.