Staff Software Engineer, TLM
- Uber
- 11 - 15 years
- Bengaluru
- 5 months ago
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Job Description
To create and advance a foundational AI infrastructure for the Developer Platform. This involves ensuring the development of robust systems for context, knowledge, and memory management, which are critical for enhancing AI-driven development experiences and improving agent functionality.
Success Metrics: - Increased accuracy and effectiveness of AI agents through enhanced data context and knowledge systems.
- Enhanced developer productivity by providing immediate access to accurate and useful information.
What youll do
- Team Leadership: Lead and mentor a small team of 4-5 AI engineers, fostering a collaborative and innovative work environment.
- Memory Systems Management: Design and manage shared memory systems, including the development of rules and best practice registries for AI agents.
- AI Documentation: Implement and oversee strategies for AI-first documentation generation, ensuring the health and discoverability of documentation.
- Code Context Infrastructure: Maintain repository and module summaries, providing comprehensive context for AI agents.
- Knowledge Graph & Data Ingestion: Vectorize engineering data and create knowledge graphs to facilitate advanced knowledge retrieval.
- Tooling and Client Development: Develop and maintain MCP servers/clients and other tools critical for enhancing the AI Developer Experience.
- Collaboration and Integration: Engage with AI Platform and AI DevEx teams to ensure seamless integration and alignment with broader organizational goals.
What youll need
Educational Background : Hold a degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
Expertise in Large Language Models (LLMs) : Demonstrated experience with both unimodal and multimodal LLMs and agentic systems.
Framework Proficiency : Skilled in using frameworks such as CrewAI, LangChain, and LangGraph to facilitate autonomous decision-making and workflow automation.
Emerging AI Technology Awareness : Knowledgeable about emerging AI technologies, including agentic systems, MCP, and A2A protocol, and understanding their potential applications.
Programming Skills : Proficient in writing clean, elegant, and bug-free code, particularly in languages such as Java and Go.
Problem-solving Abilities : Possess exceptional analytical and problem-solving skills with a focus on delivering scalable solutions.
Leadership and Mentorship : Ability to mentor junior engineers and actively contribute to team development and growth.
Preferred Qualifications ----
Cloud Computing Knowledge : Proficient in utilizing cloud computing infrastructure to support scalable AI/ML applications.
AI/ML Framework Expertise : Experience with leading AI/ML development frameworks and tools, including TensorFlow, PyTorch, and Hugging Face, for building advanced AI solutions.
AI Monitoring and Observability : Familiarity with AI monitoring and observability tools such as Langfuse, Prometheus, and Grafana, or similar platforms to ensure effective system performance and management.
Vector and RAG Models : Skilled in embedding generation and retrieval using VectorDB and RAG ingestion techniques for enhancing AI data processing capabilities.
Job Classification
Industry: Urban TransportFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full timeContact Details:
Company: UberLocation(s): Bengaluru+ View Contact
Keyskills: Computer science Cloud computing Automation TLM Memory management Analytical Machine learning Workflow Data processing Monitoring
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