Note : If screened-in, you will be invited for initial rounds on 28th November 2026 (Saturday) in Hyderabad.As a Senior Engineer, AI, you will design, build, and deliver enterprise-grade AI solutions in close partnership with FDEs and cross-functional teams. This is a hands-on engineering role responsible for translating business requirements and architectural direction into scalable, secure, and maintainable AI systems.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:- Design and develop RAG pipelines, agentic workflows, and multi-model orchestration that solve high-value, domain-specific use cases across lines of business.- Build and optimize the APIs, services, and integration layers that connect AI capabilities to enterprise data and systems.- Partner with US-based FDEs to turn prioritized, ROI-driven opportunities into production-ready builds.- Implement agentic AI systems that improve reasoning, tool use, and interaction across complex, multi-step workflows, working within defined architectural patterns and reference implementations.- Contribute to and utilize CI/CD pipelines (GitLab or equivalent) to enable automated build, test, and deployment workflows.- Implement instrumentation, structured logging, and tracing to monitor AI system performance, cost, and output quality, in partnership with platform and SRE teams.- Leverage AI-assisted development tools to improve code quality, accelerate development,



and enhance debugging.- Contribute design input within defined architectural frameworks and evaluate trade-offs at the component or feature level.- Collaborate with product, architecture, and engineering partners to translate business requirements into scalable technical solutions.- Apply and help uphold AI engineering standards for performance, security, reliability, and compliance across deployed solutions.What You'll Bring:- 8+ years of professional software development experience, including hands-on experience building AI/ML or LLM-based systems.- Experience designing and building RAG pipelines, agentic workflows, or multi-model orchestration.- Experience developing backend services, REST APIs, and enterprise integration solutions using modern languages and frameworks.- Experience with cloud platforms (AWS/Azure/GCP) and cloud-native application development.- Experience integrating LLMs and agent frameworks with enterprise data and tooling, including connector/tool-use patterns (e.g., MCP) and retrieval and grounding strategies.- Experience building and operating CI/CD pipelines (GitLab or equivalent).- Experience incorporating observability into software solutions,



including monitoring of AI system performance, cost, and output quality.- Understanding of secure application design (authentication/authorization patterns, secrets handling).- Ability to operate effectively in environments with evolving requirements.- Strong ownership mindset and transparent technical communication skills.- Experience using AI-assisted development tools to improve productivity and engineering outcomes.Must Have Skills :- Hands-on experience building AI systems using LLMs - RAG, agentic workflows, or multi-model orchestration.- Experience with cloud platforms (AWS/Azure/GCP) and cloud-native development.- Experience developing backend services, REST APIs, and integration layers that connect AI capabilities to enterprise systems.- Experience with agent and tool-use frameworks, including connector patterns (e.g., MCP).Nice-to-Have :- Experience designing high-throughput, low-latency distributed systems.- Experience with prompt engineering and LLM evaluation frameworks.- Experience with AI observability - output evaluation, hallucination detection, or agent tracing.- Familiarity with frontend technologies (e.g., React) for building end-user AI experiences.- Experience leveraging AI for log analysis, anomaly detection, or operational insights.- Experience working in a forward-deployed, consulting, or customer-facing engineering model.- Experience delivering solutions across multiple lines of business or domains, matching engineering effort to business value. (ref:hirist.tech)

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