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Metro Hyderabad, attractive AI staff role with broad full-stack plus ML requirements creates moderate applicant competition.
Highly specialized LLM, MLOps, and AI systems expertise limits cross-industry transferability.
Explicit 8+ years requirement plus mandatory AI, LLM, MLOps and cloud skills enforce strict screening.
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Design, build, and deploy production-grade AI systems including RAG pipelines, agentic workflows, multi-model orchestration, and intelligent automation in enterprise applications.
Develop full stack AI-powered applications with robust backend (Python/Node.js) and frontend (React/Angular/Vue.js) components, including API development and integration.
Lead AI/ML infrastructure and MLOps including model deployment, lifecycle management, monitoring, and CI/CD pipelines on cloud platforms (AWS/GCP).
8+ years professional software engineering experience with at least 2 years focused on AI/ML solution development and delivery.
Bachelor's degree in Computer Science, Software Engineering, AI/ML, or related field (or equivalent experience).
Expert-level proficiency in Python and strong skills in at least one other language such as Java, TypeScript/Node.js, or C#/.NET.
Hands-on experience with AI orchestration frameworks (e.g., LangChain), major LLM platforms (OpenAI, Google Vertex AI, AWS Bedrock), and cloud deployment (AWS, GCP or Azure) including containerization and CI/CD tooling.
Senior-level engineer experienced in designing and deploying scalable AI systems integrating advanced LLMs and agentic workflows in production.
Strong full stack development experience with the ability to build and maintain complex AI applications and APIs aligned with enterprise needs.
Experienced in MLOps, AI observability, and building AI infrastructure on cloud platforms to ensure resilience, security, and operational excellence.