Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills:
Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
Artificial Intelligence • Marketing Tech • Sales • Software
Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.
Top Skills:
Aurora PostgresAWSBitcoinClickhouseEthereumGithub ActionsGoHsmKubernetesMpc/TssRustSolanaTemporalTerraformThreshold Signing ProtocolsTypescript
Artificial Intelligence • Information Technology • Software
Design and build interfaces across HUD’s AI data platform and marketplace. Translate complex agent runs, evaluation results, reward signals, and reinforcement learning workflows into clear, actionable products. Partner with users, researchers, and engineers; conduct user research; ship and refine experiences; establish reusable interaction patterns; and maintain high standards for usability, visual quality, and implementation.
Top Skills:
Ai AgentsFront-End EngineeringReinforcement Learning
Designs and implements cross-platform Android and iOS features using modern C++, including Chromium browser and OpenGL ES game-engine capabilities. Integrates on-device AI, LLMs, agents, and inference technologies while optimizing latency, memory, power, and performance. Collaborates across teams, integrates APIs and SDKs, writes tests, troubleshoots issues, and improves mobile application stability and responsiveness.
Responsibilities
- Design and implement cross-platform mobile features for both Android and iOS using modern C++.
- Design and implement new features for our in-house mobile browser kernel based on Chromium, with a focus on Android and iOS.
- Design and implement new features for our in-house mobile game engine based on OpenGL ES and native graphics technologies.
- Explore and integrate AI capabilities into mobile applications, including on-device AI inference, LLMs, intelligent agents, and AI-powered user experiences.
- Design and optimize AI-related components for mobile and edge devices, with a focus on inference latency, memory usage, CPU/GPU utilization, power efficiency, and overall user experience.
- Collaborate with cross-functional teams to define, design, and deliver new features across Android, iOS, and shared C++ infrastructure.
- Effectively integrate and utilize third-party data sources, AI services, SDKs, and APIs.
- Write and execute unit tests to ensure code robustness, including edge cases, usability, and overall reliability.
- Troubleshoot issues, fix bugs, and continuously improve application performance, stability, and responsiveness.
- Balance high responsiveness, stability, efficiency, maintainability, and user experience when designing and implementing mobile systems.
Requirements
- 8+ years of solid software development experience, with significant experience in mobile or cross-platform development.
- Strong C++ development experience, with solid knowledge of C++14 and above.
- Solid understanding of cross-platform mobile development and the ability to work effectively across both Android and iOS.
- Familiarity with Android internals, including SurfaceFlinger and the Android graphics/rendering pipeline, with the ability to read and understand relevant source code.
- Familiarity with iOS system architecture and native development concepts.
- Strong understanding of Linux memory management and experience with POSIX APIs.
- Good knowledge of computer networks and experience developing cross-platform applications using C++.
- Good understanding of OpenGL/OpenGL ES principles and mobile graphics rendering.
- Basic knowledge of ARM architecture and assembly is preferred.
- Solid understanding of modern AI architectures, especially the Transformer architecture and core concepts such as attention mechanisms.
- Familiarity with LLMs, AI agents, agentic workflows, and common AI application architectures.
- Familiarity with on-device AI / edge AI, including model deployment, inference, quantization, and performance optimization on mobile devices.
- Understanding of the trade-offs between model size, inference latency, memory consumption, power consumption, and accuracy on resource-constrained devices.
- Bachelor's/Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
- Good understanding of the mobile technology landscape, architectures, trends, and emerging technologies.
Preferred Qualifications
- Experience developing shared C++ infrastructure or libraries used across Android and iOS.
- Experience with AI model deployment or inference optimization on Android, iOS, or other edge devices.
- Experience with model quantization, pruning, KV cache optimization, or other techniques for improving on-device AI performance.
- Familiarity with AI inference frameworks or runtimes such as llama.cpp, ONNX Runtime, TensorFlow Lite, Core ML, or similar technologies.
- Experience integrating LLMs or AI agents into mobile applications.
- Familiarity with multimodal AI, speech AI, or other on-device AI technologies is a plus.
- Experience contributing to popular mobile libraries or maintaining a widely used open-source project.
- Knowledge of Android and iOS performance analysis and optimization techniques.
- Strong problem-solving skills and the ability to work effectively across C++, Android, iOS, graphics, browser engines, JavaScript engines, and AI technologies.
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
