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Tier-1 brand, metro hiring, mid-level AI title, broad skillset required.
AI engineering skills transferable but enterprise integrations and cybersecurity context increase domain specificity.
Explicit 7–10 years plus mandatory LLM, cloud, and enterprise integration experience.
Own full project lifecycle for enterprise IT software solutions incorporating AI-first engineering practices.
Partner with Product Managers and stakeholders to design scalable, secure, and reliable AI-integrated systems aligned to business goals.
Implement AI-assisted coding, debugging, testing, and deployment to optimize performance and system reliability.
7–10 years of hands-on software engineering experience.
Experience with large language models (LLMs), AI agents, AI/ML integration, and custom application integration with systems like SAP, Salesforce, Workday.
Proficiency in modern programming languages such as Python, JavaScript/TypeScript, Java, or Go.
Familiarity with cloud platforms (GCP, AWS, Azure), container technologies (Docker, Kubernetes), and modern DevOps tools including CI/CD pipelines and observability platforms.
Experienced in building and scaling AI-first, enterprise-grade IT software systems with strong understanding of AI tools and LLM implementations.
Comfortable working closely with cross-functional business stakeholders (Sales, R&D, Finance, HR) in translating business needs into technical solutions.
Able to operate in a fast-paced environment combining software engineering fundamentals with emerging AI technologies and DevSecOps practices.