Description

You will design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability.

This role is on-site.

Responsibilities

• Design, develop, and deploy AI agents to automate software development workflows and processes.
• Create and deploy predictive models to identify high-risk commits, forecast build failures, and flag changes with high failure probabilities.
• Continuously measure and report on the impact of AI interventions, demonstrating improvements in cycle time, change failure rate, and MTTR.
• Conduct research on emerging technologies to recommend best practices and improvements for engineering teams.

Required Skills

• 10+ years of work experience in EE/CS or equivalent.
• Well-versed in Large Language Models (LLM), Machine Learning (ML), and Agentic AI techniques.
• Hands-on experience implementing AI for software engineering workflows, including RAG and fine-tuning LLMs on enterprise data.
• Extensive scripting experience in Python, with proficiency in Java or Go.
• Experience with SQL/NoSQL databases such as MySQL, MongoDB, or Elasticsearch.
• Full-stack development experience, including front-end (React, Angular, Vue.js, HTML, CSS, JavaScript) and back-end frameworks.
• Proficiency in deployment and hosting on AWS, Azure, or GCP.
• Experience with CI/CD tools like Jenkins, GitLab CI, Packer, Terraform, Artifactory, Ansible, or Chef.
• Strong understanding of distributed systems, microservice architecture, and REST APIs.

Preferred Skills

• Knowledge of build tools like Make, Maven, or Ant.
• Experience leveraging LLMs and Agentic AI to automate complex workflows.

Key Skills

Education

Any Graduate