AI ML Engineer - OSS Standards automation & Research

Rakuten Symphony; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Rakuten Symphony is seeking a versatile AI/ML Engineer in Bengaluru, India. The role involves leveraging expertise in Agentic AI, LLMs, and Data Analytics to automate standardization processes and enhance compliance operations.

You will develop AI-driven solutions to engage with complex specifications and streamline back-office tasks, building the technical framework necessary for a future-oriented compliance environment.

Qualifications

• Hands-on experience with LLMs and agentic frameworks.
• Proven ability to build agents that reason and execute tasks.
• Strong familiarity with OSS/RAN orchestration and industry frameworks.

Responsibilities

• Develop and deploy autonomous agents for analyzing technical specifications.
• Engineer AI solutions to streamline internal back-office workflows.
• Build multi-agent systems to interact with various APIs.

Skills

LLMs (Large Language Models)

Agentic frameworks

Automation scripting

Python programming

Data extraction and transformation

SQL

NoSQL

Kubernetes

Docker

Education

Bachelor's or Master's degree in Computer Science, Telecommunications, or AI/ML

Tools

Kubernetes

Docker

Job description

Designation: AI/ML Engineer OSS Standards automation & Research

Location: Bangalore, India

Job Summary

We are seeking a versatile AI/ML Engineer to serve as the technical backbone for our Standards & Compliance division. In this role, you will leverage expertise in Agentic AI, LLMs, and Data Analytics to automate the labor‑intensive aspects of standardization work. You will build autonomous agents to parse complex 3GPP/TMF specifications, generate compliance documentation, track industry shifts, and streamline our back‑office technical operations. You are an automation‑first engineer who understands the telecom domain and uses AI to turn mountains of technical specifications into actionable, automated reality.

Key Responsibilities

Standards Intelligence & Automation

• Develop and deploy autonomous agents that ingest, analyze, and summarize massive volumes of technical specifications (3GPP, O‑RAN, TMF, ETSI).
• Build AI‑driven pipelines to automate "Gap Analysis" between our current product features and evolving industry standards.
• Automate the creation of technical contributions, liaison statements, and compliance reports using LLM‑based agentic workflows.

Back‑Office Operational Excellence

• Engineer AI solutions to streamline internal back‑office workflows, including automated mapping of O‑RAN and other SDO requirements to product backlogs.
• Use data analytics to monitor standards‑related industry trends, providing leadership with predictive insights on industry direction.
• Build agents to automate identification of innovation areas across different SDOs for IP creation and claim charts.

Agentic Framework Development

• Design and implement adapter‑like multi‑agent systems that can interact with various APIs (TMF Open APIs, OSS interfaces) to be compliant to different standards and automate validation.
• Build internal tools that allow non‑technical standards delegates to query complex technical specs via natural language interfaces.

Technical Implementation

• Develop, fine‑tune, and deploy ML models that support our orchestration and management (OSS/RAN) strategy.
• Maintain and scale containerized AI services within Kubernetes environments, ensuring high availability for back‑office automation tools.
• Streamline and automate the adoption of various standards to our products and ensure no breaking changes.

Required Technical Skills

AI/ML & Agentic Frameworks

• Hands‑on experience with LLMs, RAG, and agentic frameworks (e.g., LangChain, AutoGen, CrewAI).
• Proven ability to build agents that can reason, plan, and execute tasks across software tools.

Telecom Domain Knowledge

• Strong familiarity with OSS/RAN orchestration and key industry frameworks: 3GPP SA5, ETSI MANO, O‑RAN Alliance (SMO), TMF Open APIs, and ONAP.
• Understanding of the CNCF ecosystem and how cloud‑native principles apply to telecom.

Programming & Data

• Expert‑level Python programming.
• Experience with data extraction, cleaning, and transformation (ETL) from structured and unstructured technical documents.
• Proficiency in SQL and NoSQL databases for managing standards‑related datasets.

Infrastructure

• Experience with Kubernetes, Docker, and CI/CD pipelines for deploying AI agents into production.

Must‑Haves

• Translator mindset: ability to read a 500‑page 3GPP specification and build an AI agent that extracts the specific requirements relevant to our product.
• Automation portfolio: demonstrated experience building agents or automation scripts that have significantly reduced manual effort in your previous roles.
• Domain literacy: ability to understand the "language" of 3GPP and TMF to build meaningful tools for them.

Soft Skills

• Operational empathy: motivated by building tools that make colleagues' lives easier and more efficient.
• Self‑starter: identify a manual process in the standards‑tracking lifecycle and proactively build an AI solution to fix it.
• Communication: ability to bridge the gap between high‑level policy discussions and low‑level code implementation.

Education

• Bachelors or Masters degree in Computer Science, Telecommunications, or AI/ML.

Additional Skills

• Virtualization, cloud‑native architectures, Kubernetes and cloud environments.
• Good understanding of Agile principles and processes.
• Experience working in a fluid, start‑up‑like environment.