Senior Software Engineer AI Center of excellence Uber s AI Center of Excellence for Security and Privacy is dedicated to building robust scalable AI-driven products engineering standards and policies that proactively safeguard user data fortify our security posture and foster trust through transparent communication and innovation As a leader on this team you will 1 Shape Strategy Define and drive the roadmap for AI ML-powered security and privacy solutions that span user-facing applications downstream services and core infrastructure platforms 2 Architect Build Lead the end-to-end design development and deployment of high-impact tools and frameworks that integrate seamlessly across Uber s ecosystem 3 Collaborate Evangelize Partner with product engineering legal and policy teams to translate complex security and privacy requirements into practical AI solutions-and champion best practices across the organization 4 Mentor Grow Coach engineers and data scientists in secure ML development threat modeling and privacy-preserving techniques helping to elevate the team s technical expertise Basic Qualifications 1 End-to-End AI ML GenAI Expertise Proven track record designing developing and deploying production-quality AI ML solutions-especially generative AI systems-spanning data ingestion prompt engineering model fine-tuning retrieval-augmented generation RAG and inference optimization 2 Large Language Model Proficiency Hands-on experience with foundation models e g GPT PaLM LLaMA and open-source alternatives adept at prompt design chain-of-thought engineering embedding creation and custom fine-tuning workflows 3 Agent Development Orchestration Experience building and deploying AI agents-designing multi-step workflows tool integrations and autonomous decision-making pipelines to solve complex tasks and drive business value 4 GenAI Infrastructure MLOps Familiarity with MLOps pipelines for GenAI model versioning CI CD monitoring A B testing container orchestration Docker Kubernetes and scalable deployment of LLMs in cloud or on-prem environments 5 Data Vector Store Management Ability to build and maintain scalable data pipelines and vector databases e g FAISS Pinecone Weaviate for efficient semantic search and knowledge retrieval 6 Robust Software Engineering Robust coding skills in Python and or Java Go with experience in ML frameworks TensorFlow PyTorch scikit-learn and building secure maintainable APIs and microservices Preferred Qualifications 1 LLM Fine-Tuning Expertise Hands-on experience fine-tuning large language models using techniques such as LoRA PEFT or full-parameter updates on both open-source and proprietary models 2 Agent Frameworks Prior work building or extending agent frameworks e g LangChain LlamaIndex or custom in-house solutions for multi-step reasoning and tool orchestration 3 Prompt Engineering Mastery Deep familiarity with prompt templating few-shot zero-shot strategies chain-of-thought prompting and mitigation of prompt drift or hallucinations 4 GenAI Evaluation Testing Experience designing evaluation protocols for generative models automated metrics and human-in-the-loop testing with an emphasis on security bias detection and reliability What the Candidate Will Do 1 Define Drive AI Security Privacy Solutions Architect and implement end-to-end GenAI and ML systems-agents RAG pipelines fine-tuned LLMs and custom models-that proactively detect and mitigate security threats and privacy risks 2 Build Operate Platforms Develop scalable data pipelines vector stores and MLOps infrastructure CI CD monitoring model-versioning to support continuous delivery of AI-driven security and privacy features 3 Integrate with Uber Ecosystem Embed AI capabilities into user-facing products downstream services and core infrastructure tools-designing APIs microservices and tooling for seamless adoption by engineering teams 4 Collaborate Cross-Functionally Partner closely with Product Legal Policy and Security Operations to translate requirements into technical specs ensure compliance with data-privacy regulations and align on risk-mitigation strategies 5 Develop Maintain Agents Build autonomous AI agents and orchestration workflows that interface with internal systems and external tools automating complex security and privacy tasks

📌 Sr Software Engineer, Ml (Karnataka)
🏢 Uber
📍 Karnataka