Staff Software Engineer_Tech Lead Manager
- Uber
- 8 - 13 years
- Bengaluru
- 5 months ago
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Job Description
- Architect the Ecosystem: Design and own the technical vision for Ubers next-generation enterprise search platform, creating a cohesive strategy that integrates first-party AI models with best-in-class third-party technologies.
- Lead AI Implementation: Drive the exploration and implementation of advanced AI capabilities. This includes architecting conversational interfaces, enabling multi-step reasoning, and bringing agentic AI functionalities to our users, whether through in-house development or strategic integration.
- Make Critical Build-vs-Buy Decisions: Conduct deep technical evaluations of industry-leading AI solutions. You will own the process of vetting vendors, prototyping integrations, and providing clear recommendations to leadership.
- Lead and Mentor: Lead a world-class team of software and machine learning engineers. Provide technical guidance, conduct architectural reviews, and foster a culture of innovation and engineering excellence.
- Build and Integrate: Remain hands-on, writing production-quality code for critical custom components, integration layers, and core platform infrastructure.
- Collaborate and Influence: Work closely with senior leadership, product managers, and stakeholders across the company to define the roadmap and ensure your teams work aligns with Ubers strategic goals.
Basic Qualifications ----
- Bachelors degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
- 8+ years of professional experience in software engineering, with a proven track record of shipping complex.
- Strong programming proficiency in Python and experience with systems programming languages (e.g., Go, Java, C++).
- Significant experience in designing and building production systems leveraging machine learning, especially in Search, NLP, or Conversational AI.
- 2+ years of experience in a formal or informal technical leadership role, including mentoring engineers and setting technical direction for a team.
Preferred Qualifications ----
- Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience architecting systems that involve Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases.
- Demonstrated experience making strategic build-vs-buy decisions and integrating large-scale third-party software or SaaS platforms into a complex enterprise environment.
- Experience with the architecture of AI agentic systems or complex, multi-step LLM-powered workflows (either through building or integration).
- Expertise with both traditional search technologies (e.g., Elasticsearch) and modern semantic search paradigms.
- Excellent communication skills, with the ability to articulate complex technical trade-offs to diverse audiences and influence technical strategy at a senior level.
- A strong product intuition and a passion for creating user-centric AI experiences that solve real-world problems
Job Classification
Industry: Urban TransportFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Engineering ManagerEmployement Type: Full timeContact Details:
Company: UberLocation(s): Bengaluru+ View Contact
Keyskills: Computer science Architect C++ Architecture Artificial Intelligence Machine learning Information retrieval Technical Lead Architecting Python
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