Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs. Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+.

NTR (Network Traffic Redirector) is Mobileum's flagship in-path roaming traffic steering solution, deployed across 600+ operator networks worldwide and engineered for five-nines availability. Built on Core Java, RAID (our no-code/low-code UI and ETL platform), Couchbase, ClickHouse, PostgreSQL, Redis, Kafka, and Kubernetes/OpenShift, NTR steers roaming traffic in real time at carrier scale. We're now building agentic, GenAI-powered copilot capabilities on top of NTR, enabling autonomous configuration, natural-language operator assistance, and intelligent, self-healing traffic-steering decisions.

We are hiring a Technical Lead to help build Mobileum's first agentic, GenAI-powered copilot capabilities for NTR — our carrier-grade, in-path roaming traffic steering platform used across 600+ operator networks. You will build LLM-powered features (natural-language configuration, intelligent diagnostics, autonomous operational recommendations) while continuing to deliver core NTR functionality on our existing Java/distributed-systems stack. This is a hands-on individual-contributor role at the intersection of applied GenAI/agentic AI and carrier-grade backend engineering — technical depth and execution, not people management.

Design, build, and ship LLM-powered agentic features for NTR:



natural-language configuration assistance, intelligent diagnostics, and autonomous operational recommendations
Implement tool/function-calling integrations so agents can safely read and act on live NTR configuration and telemetry
Build retrieval-augmented generation (RAG) pipelines over NTR documentation, configuration schemas, and operational runbooks
Build and maintain backend services in Core Java, with UI components on RAID (no-code/low-code), integrated with Couchbase, ClickHouse, PostgreSQL, Redis, and Kafka
Represent the work in cross-functional planning and stakeholder reviews

Strong Core Java backend development; familiarity with RAID (Mobileum's no-code/low-code UI and ETL platform) a plus; Experience with distributed data stores (Couchbase, ClickHouse, PostgreSQL, Redis, or similar), Kafka, and Kubernetes/OpenShift

Agentic AI & GenAI:
Hands-on with LLM application development: prompt design, tool/function calling, RAG
Familiarity with agent orchestration frameworks (LangGraph, LangChain, AutoGen, CrewAI, or similar) and Python
Understanding of vector databases, context management, and agent evaluation/observability

NTR or similar in-path traffic-steering experience a solid plus

8–12 years of software engineering experience, including significant Core Java backend and distributed systems work

- 1–2+ years hands-on building or shipping LLM-based/agentic applications (tool use, RAG, multi-step orchestration) in production
- Experience with LangGraph, LangChain, AutoGen, CrewAI, or similar agent orchestration frameworks

Familiarity with Model Context Protocol (MCP) or similar tool-calling/agent-communication protocols
Vector databases and RAG pipeline experience
Observability/evaluation practices for LLM systems
Exposure to network/telecom operations automation

Work Experience: 8-12 Years

B.Tech., Sc. in Computer Science / Electronics Engineering / MCA

📌 Technical Lead - Python, AI (Bengaluru)
🏢 Mobileum
📍 Bengaluru