Senior Software Engineer, AI/ML, Agentic Ecosystem

Google Inc.

Belo Horizonte

Presencial

BRL 300 000 - 540 000

Tempo integral

Há 4 dias
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Resumo da oferta

Google Inc. is seeking a Senior Software Engineer for AI/ML in the Agentic Ecosystem. You will develop domain-specific implementations on top of AIM/Gemini, and lead the technical delivery of high-priority partner integrations within a globally distributed team.

The role emphasizes on building scalable ML infrastructure, data governance, and leading design reviews while mentoring junior engineers. A strong background in AI/ML systems and collaboration across teams is essential.

Qualificações

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of software development experience.
  • 3 years testing, maintaining, or launching software products.
  • 3 years in ML-related areas (speech/audio, RL, ML infrastructure, or related field).
  • 3 years with ML infrastructure (deployment, evaluation, data processing, debugging).

Responsabilidades

  • Develop domain-specific implementations on top of AIM/Gemini models.
  • Translate architectural goals into surface-agnostic systems across AIM, Gemini, and Geo; implement MCP2Agency bridge.
  • Lead technical delivery of high-priority partner integrations within a globally distributed team.
  • Mentor junior/mid-level engineers and lead design reviews.

Conhecimentos

Programming languages
Software testing
ML infrastructure
Speech & ML domains
Code reviews

Formação académica

Bachelor's degree or equivalent

Descrição da oferta de emprego

Senior Software Engineer, AI/ML, Agentic Ecosystem
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
  • Master’s degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Proven experience building developer‑facing platforms, SDKs, or third‑party integration frameworks.
  • Familiarity with LLM orchestration, tool‑use (function calling), and agentic workflows. Direct experience with Model Context Protocol (MCP).
About the job

Google’s software engineers develop the next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large‑scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast‑paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full‑stack as we continue to push technology forward. In Google Search, we’re reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you’ll have an opportunity to make an impact on billions of people globally.

Responsibilities
  • Develop complex, domain‑specific implementations on top of generalist models (AIM/Gemini). Act as the primary technical anchor for onboarding vertical teams, writing critical‑path code and designing tool orchestration to ensure a consistent, high‑trust user experience.
  • Translate broad architectural goals into concrete, surface‑agnostic systems across AIM, Gemini, and Geo. Drive the technical implementation of the MCP2Agency bridge and ensure strict adherence to data governance policies (e.g., SIAN) in the codebase.
  • Lead the technical delivery of high‑priority partner integrations within a globally distributed team.
  • Act as a technical role model by multiplying team impact through code reviews, leading design doc reviews, and mentoring junior/mid‑level engineers.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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