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Tier-1 brand, broad full-stack/ML/DevOps requirements and metro mid-level seniority drive high competition.
ML deployment, CI/CD and cloud skills are transferable but embedded/security focus gives moderate domain specificity.
Explicit 6+ years plus mandatory ML, CI/CD, cloud and container skills enforce high shortlisting strictness.
Lead design and implementation of AI/ML workflows including LLM-based agents for reasoning and vulnerability detection.
Develop and maintain full-stack solutions: web dashboards, RESTful APIs, microservices with scalable front-end and back-end services.
Manage CI/CD pipelines and containerized deployments on cloud or on-premises ensuring high availability and performance.
6–8+ years of software engineering experience with Bachelor’s or Master’s in Computer Science, Engineering or related field.
Proficiency in multiple programming languages including Python, Java, and C++.
Strong expertise in automation tools and CI/CD pipelines such as Jenkins, Azure DevOps, or GitHub Actions.
Experience with AI/ML application development and deployment; familiarity with cloud platforms and container orchestration (Azure, AWS, Kubernetes).
Experienced software engineer with demonstrated ability to deliver end-to-end AI/ML and automation initiatives involving multi-agent architectures.
Capable full-stack developer comfortable with both front-end frameworks (React/Angular/Vue) and back-end services in Python/Node.js/Java.
Skilled in DevOps practices including CI/CD pipeline creation, containerized deployments, and security-focused automation workflows.