G

Google

Runs Search and YouTube and builds Gemini AI

Web Solutions Engineer - Technology and Insights Partnership Systems

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electrical Engineering, Math, or a related quantitative field, or equivalent practical experience.
  • Four years of experience in full-stack or back-end software development and system design.
  • Experience with distributed data processing such as BigQuery or Spark, event streaming such as Kafka, and scalable communication protocols such as gRPC or Protocol Buffers.
  • Experience working with database technologies such as SQL or NoSQL.
  • Four years of experience designing and optimizing databases is preferred.
  • Experience working with systems for collaborative code reviews, version control, continuous integration, and automated testing.
  • Ability to manage ambiguous requirements and influence technical and non-technical stakeholders, including Product Managers, UX Designers, and Business Leaders.
  • Strong systems fundamentals and prior experience working with, or eagerness to master, agentic AI frameworks and LLM tooling such as LLMs, agentic harnesses, vector embeddings, and RAG.
  • Strong understanding of code quality and test coverage; excellent communication skills for frequent collaboration with stakeholders across teams and time zones.

Responsibilities

  • Design, build, and maintain backend service layers and APIs that integrate with web-based client applications to deliver automated workflows and actionable insights to end users.
  • Design, build, and deploy AI-powered solutions, including single- and multi-agent systems with retrieval-augmented generation, versioned prompt libraries, skills, and evaluations, using Google's Agent Development Kit.
  • Deliver high-quality code and tests, ensuring the reliability, security, and accuracy of deployed solutions, including testing and evaluation frameworks for deterministic and model-based outputs.
  • Write and review technical design documents for scalable systems.
  • Develop project plans and deliver engineering projects on time and within budget with minimal guidance.
  • Develop approaches to business problems at scale, including rule-based and AI-based automations to eliminate operational friction and technical debt.
  • Collaborate across time zones and act as a trusted technical representative on cross-functional projects.
  • Develop backend service architecture, high-throughput data pipelines, and API integrations that connect with client web applications and partner portals.

Desired Qualifications

  • Prior experience working with, or eagerness to master, agentic AI frameworks and LLM tooling such as LLMs, agentic harnesses, vector embeddings, and RAG.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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