Associate Engineer

Rakuten Symphony; Indore District; On-site; INR 600,000 - 900,000; Full time

Job summary

Rakuten Symphony in India is building an open, cloud-native telco platform and automating core network operations with AI agents. We’re seeking a fresh graduate or early-career developer to join the Core Network Operations Automation & AI team and contribute production-ready solutions by connecting LLMs with tools, data, and APIs.

Under guidance from senior engineers, you will write secure, observable code, design multi-step agent workflows, implement planning and memory features, and help

Qualifications

• 0–2 years of software-development experience; fresh graduates with strong academic, internship, or personal-project evidence are encouraged to apply.
• Bachelor level degree required in CS/Software/AI/DS/IT or related field with strong fundamentals in Python, data structures, algorithms, OOP, debugging.
• Understanding of REST APIs, JSON, authentication concepts, and integration patterns.
• Comfort working in Linux/Unix and using Git workflows.
• Basic understanding of LLM capabilities, prompt engineering, embeddings, retrieval, and AI in automation.
• General understanding of cloud concepts including compute, storage, networking, IAM, and service deployment.
• Ability to communicate in English, document work clearly, learn quickly, and take ownership.
• Willingness to work from the office on a full-time basis.

Responsibilities

• Contribute to design and development of AI agents that support operational tasks across Core Network Operations.
• Build multi-step agent workflows that connect LLMs with tools, APIs, data sources, databases, and operational data.
• Implement agent capabilities such as planning, memory, retrieval, tool use, and human-in-the-loop approvals.
• Develop prompts, policies, and orchestration logic for predictable and auditable behavior.
• Test agent behavior, identify failure modes, and improve accuracy, reliability, latency, and cost.
• Document limitations, guardrails, confidence thresholds, and escalation conditions.

Skills

Python

REST APIs

Git

Linux

LLMs

Cloud concepts

English communication

Problem solving

Education

B.Tech / B.E. in CS/Software/AI/DS/IT

Job description

Job Description:

Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting outmoded thinking that threatens the industry’s pursuit of rapid innovation and growth. Based on proven modern infrastructure practices, its open interface platforms make it possible to launch and operate advanced mobile services in a fraction of the time and cost of conventional approaches, with no compromise to network quality or security. Rakuten Symphony has operations in Japan, the United States, Singapore, India, South Korea, Europe, and the Middle East Africa region. For more information, visit: https://symphony.rakuten.com

Why should you choose us?

Building on the technology Rakuten used to launch Japan’s newest mobile net work, we are taking our mobile offering global.

To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business – from sales to engineering, support functions to product development.

Let’s build the future of mobile telecommunications together!

About Rakuten Group, Inc. (TSE: 4755) is a global leader in internet services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content and communications to 2 billion members around the world. The Rakuten Group has over 30,000 employees, and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/.

About the Role:

The Core Network Operations Automation & AI team is transforming how mobile-core operations run by replacing repetitive, manual processes with governed AI agents and intelligent automation that can observe, reason, recommend, and act. We are looking for an ambitious fresh graduate or early-career developer who wants to build production solutions—not simply maintain legacy systems. You will help develop agentic systems that connect large language models with operational data, network tools, internal platforms, databases, and APIs to automate complex workflows at scale. Working with senior engineers, the Technical Program Coordinator, and Core Network Operations stakeholders, you will learn disciplined engineering practices while contributing code that is secure, observable, testable, and suitable for controlled production use.

Key Responsibilities

AI Agentic Systems

• Contribute to the design and development of AI agents that support operational tasks across Core Network Operations.
• Build multi-step agent workflows that connect LLMs with tools, APIs, knowledge sources, databases, and operational data.
• Implement agent capabilities such as planning, memory, retrieval, tool use, structured outputs, and human-in-the-loop approvals.
• Develop prompts, policies, and orchestration logic that produce predictable and auditable behavior.
• Test agent behavior, identify failure modes, and improve accuracy, reliability, latency, and cost.
• Document known limitations, guardrails, confidence thresholds, fallback paths, and escalation conditions.

Required Qualification:

• 0–2 years of software-development experience; fresh graduates with strong academic, internship, or personal-project evidence are encouraged to apply.
• B.Tech, B.E., or equivalent degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, Telecommunications, or a related field. Strong foundation in Python, data structures, algorithms, object-oriented programming, debugging, and software-engineering fundamentals.
• Understanding of REST APIs, JSON, authentication concepts, and synchronous or asynchronous integration patterns.
• Comfort working in Linux or Unix environments and using Git-based collaborative development workflows.
• Basic understanding of LLM capabilities, limitations, prompt engineering, embeddings, retrieval, and where AI fits within automation.
• General understanding of cloud concepts, including compute, storage, networking, identity and access management, and service deployment.
• Ability to communicate clearly in English, document work accurately, learn quickly, and take ownership of assigned deliverables.
• Willingness and ability to work from the office on a full-time basis.

RAKUTEN SHUGI PRINCIPLES:

• Always improve, always advance. Only be satisfied with complete success - Kaizen.
• Be passionately professional. Take an uncompromising approach to your work and be determined to be the best.
• Hypothesize - Practice - Validate - Shikumika. Use the Rakuten Cycle to success in unknown territory.
• Maximize Customer Satisfaction. The greatest satisfaction for workers in a service industry is to see their customers smile.
• Speed!! Speed!! Speed!! Always be conscious of time. Take charge, set clear goals, and engage your team.