Top Artificial Intelligence Jobs in Hyderabad

Develop and implement numerical and computational models (structure, materials, process) to support DRAM and NAND node development. Collaborate with process and product teams, create modeling tools and algorithms, analyze results, and present insights to engineering teams and leaders for silicon implementation.

Lead full-stack engineering for customer acquisition and account origination: design, build, and operate Java/Spring Boot backends, REST microservices, and React/Angular UIs; drive CI/CD, observability, secure development, production support, and enterprise AI-assisted engineering adoption; mentor engineers and collaborate with cross-functional teams.

Design, develop, and maintain enterprise Java backend and React frontend features and services. Implement RESTful APIs, work with Oracle 19c and RabbitMQ, leverage AI-assisted development tools, perform testing and CI/CD, troubleshoot full stack issues, mentor junior developers, and collaborate with cross-functional teams to deliver scalable, secure solutions.

Design, build, and maintain high-throughput backend services and concurrent asynchronous workflows (primarily in Go). Integrate control planes with isolated secure execution environments, build gRPC/REST APIs, process evaluation signals, monitor performance, troubleshoot bottlenecks, and collaborate with cross-functional teams to ensure reliability and scalability of AI agent evaluation infrastructure.

Lead design, development, and deployment of scalable full‑stack web applications using React front-ends and Java/Oracle backends. Own product lifecycle, conduct code reviews, mentor engineers, drive AI-augmented engineering practices, optimize performance and security, implement testing and CI/CD practices, and collaborate with product, UX, and QA teams to translate business requirements into technical solutions.

Lead an agile mobile engineering team to design, implement, and support .NET-based services and mobile applications. Develop new features, maintain production systems, troubleshoot across the full stack, mentor engineers, integrate AI-assisted tooling and AI features, implement SSO/identity protocols, and ensure high performance, availability, and security.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

Design and own RTL development for an AI-enabled RISC-V CPU core, including microarchitecture, vector/matrix engines, performance/power/area optimization, and verification support. Collaborate with cross-functional teams for timing, reliability, testability, and SoC integration.

Lead transformation from manual QA to AI-enabled, automation-first quality engineering. Design AI-driven test frameworks, establish automation standards, integrate CI/CD, mentor teams, drive organizational change, and establish metrics and governance to raise engineering quality across product teams.

Lead pre-sales and delivery of large cloud modernization and digital transformation engagements. Define solution and application architecture, drive Azure infrastructure designs, ensure technical success, mentor teams, engage CxO stakeholders, and convert services opportunities into projects while ensuring customer value and operational excellence.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Design and implement the MCP/ACP ecosystem for AI tools, focusing on orchestration patterns, security, and cross-functional collaboration to ensure scalable production operations.

Design, develop, and scale AI-enabling platform services and public APIs. Collaborate with teams to create AI solutions and ensure security.

The Lead Software Engineer will design, develop, and implement complex software solutions while providing technical leadership and mentoring to junior engineers, ensuring high-quality delivery and adherence to software development best practices.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Design, develop, and maintain scalable automation frameworks and test suites. Integrate automated tests into CI/CD pipelines, leverage AI/ML or intelligent automation to improve coverage and speed, analyze requirements, track and resolve defects, collaborate with QE leads and developers, and mentor junior engineers.

Lead and build massively scalable software and systems; architect low-latency infrastructure; address cybersecurity concerns; apply machine learning with financial engineering to solve complex client problems and drive new product capabilities.

Design, build, maintain, and extend Android mobile fintech applications with outstanding UX. Adapt to mobile banking trends, implement innovative features, and mentor teammates on Android best practices within an Agile environment.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

Build and ship native Android features in Kotlin and Jetpack Compose; integrate REST APIs; improve performance, crashes and memory; collaborate with product/design; use analytics and on-device AI (TensorFlow Lite) to enhance user journeys for insurance and financial services.

Design, build, and operate high-throughput, low-latency backend services and AI/ML pipelines on an event-driven platform. Own Go services, WebSocket backends, RAG/embedding/model-serving components, and connectors to CCaaS/CRM/telephony. Work in 1-week sprints, deliver production-grade integrations or AI features, and meet strict latency and delivery commitments.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Integrate backend APIs, improve performance and reliability, collaborate with product and design to simplify financial user journeys, and apply on-device ML where it improves UX.

Lead a team of engineers to evolve the architecture and strategy of the AI Search platform, ensuring high-performance search systems meet strict operational metrics, while nurturing talent and fostering a collaborative culture.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.