Note : If screened-in, you will be invited for initial rounds on 28th November 2026 (Saturday) in Hyderabad.About the Role : As an Engineer, AI, you will build and deliver production-grade AI agents and solutions - leveraging LLM APIs, agentic workflows, and Retrieval-Augmented Generation (RAG) - that drive employee productivity, process optimization, and smarter decision-making. Working hands-on within established patterns and reference implementations, and collaborating closely with senior engineers, FDEs, and cross-functional teams, you will ensure AI-driven solutions are effectively integrated into enterprise workflows.We pride ourselves on encouraging a culture of innovation, agile ways of working, and transparency in all we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact!What You'll Do :- Build and deliver RAG pipelines, agentic workflows, and multi-model orchestration components for high-value use cases, following established patterns and reference implementations.- Develop APIs, services, and integration components that connect AI capabilities to enterprise data and systems.- Apply prompt engineering and evaluation techniques to optimize AI system performance, accuracy, and reliability.- Partner with FDEs and senior engineers to turn prioritized opportunities into working, production-ready solutions.- Monitor, test, and continuously improve AI systems for scalability, reliability, and measurable impact.- Contribute to CI/CD workflows and engineering best practices for quality and maintainability.- Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows.- Build and maintain key artifacts, including design notes, test scripts,



and documentation.What You'll Bring :- Bachelor's degree in Computer Science, Engineering, or related field, plus 3+ years of related work experience; or advanced degree with 1 year; or equivalent combination of education and experience.- Hands-on experience with prompt and context engineering, fine-tuning, and agentic workflows.- Working knowledge of designing retrieval-augmented generation (RAG) pipelines.- Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).- Experience developing APIs and integrating AI capabilities into enterprise applications.- Experience working in agile development cycles to support rapid, effective delivery.- Strong problem-solving skills and a drive to apply creative solutions in AI agent development.- Transparent communication skills for effective collaboration with FDEs and cross-functional teams.Must Have Skills :- 5+ years hands-on experience building AI solutions using LLMs - prompt engineering, RAG, or agentic workflows.- Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).- Experience developing APIs and integration components.- Experience with cloud platforms (AWS/Azure/GCP).Nice-to-Have :- Experience with agent and tool-use frameworks, including connector patterns (e.g., MCP).- Experience with LLM evaluation frameworks and AI observability.- Familiarity with frontend technologies (e.g., React) for building end-user AI experiences.- Experience with CI/CD practices and agile tools (JIRA, Confluence).- Relevant AI/ML or cloud certifications.- Experience working in a forward-deployed, consulting, or customer-facing engineering model. (ref:hirist.tech)

📌 T-Mobile - Engineer - Artificial Intelligence (Hyderabad)
🏢 Hirist.tech
📍 Hyderabad