Top Artificial Intelligence Jobs in Hyderabad

Build and maintain high-throughput backend services and concurrent asynchronous workflows to orchestrate secure AI agent execution and evaluation. Integrate control planes with isolated execution environments, implement scalable gRPC/REST APIs, monitor performance, troubleshoot bottlenecks, and drive engineering best practices for reliability and scalability.

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).

Lead a mobile agile engineering team to design, implement, and support enterprise .NET services and mobile products. Hands-on work includes feature development, production support, full-stack troubleshooting, mentoring, and integrating AI-assisted coding and AI features into cloud-based .NET applications.

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.

This role involves leveraging AI, automation, cloud engineering, and advanced analytics to drive digital transformation and optimize business operations for clients.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

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.

The Senior Platform Engineer designs and implements core platform services, focusing on CI/CD pipelines and infrastructure automation while mentoring junior engineers and ensuring platform reliability and security.

Build, deploy, and integrate LLM-based and AI tooling into developer workflows and CI/CD pipelines; troubleshoot and support developers; embed AI in build/upgrade/security processes; measure outcomes and iterate on tooling.

Lead design, implementation, and optimization of AI operator kernels for custom ISA-based edge AI processors. Architect operator stack, write and profile high-performance C/C++ and assembly kernels, debug performance bottlenecks, and collaborate with hardware, compiler, and application teams while mentoring engineers.

Build production-grade web features using React.js and Node.js in an AI-native workflow. Develop responsive UIs, RESTful APIs, and database schemas (MongoDB/MySQL). Use AI coding assistants for scaffolding, testing, refactoring, and debugging, while critically reviewing outputs. Rapidly prototype MVPs, participate in code reviews, and follow Agile and deployment best practices.

Lead design and delivery of NICE CXone platform solutions, manage and mentor India-based consultant teams, own technical delivery, participate in pre-sales and solution engineering, and ensure quality, training, and operational metrics for CXone projects.

Seeking an Enterprise Architect with strong GenAI and AI/ML expertise to lead engineering teams and deliver AI-powered enterprise solutions.

The Sr ServiceNow Engineer leads the development and configuration of solutions within ServiceNow, focusing on HR Service Delivery. Responsibilities include designing functional solutions, custom application development, and maintaining compliance with business requirements.

The Senior QA Engineer will design and execute test cases, maintain automated test scripts, and validate AI model outputs while collaborating with various teams.

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.

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.

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 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.

Lead the development of scalable enterprise software and AI/ML solutions for capital markets, ensuring compliance and high performance. Oversee the engineering team, define technical roadmaps, and drive innovation in software applications.

Design, build, test and maintain full-stack .NET applications; develop RAG systems with vector databases and LLM APIs; perform prompt engineering; write testable code; participate in code reviews, on-call rotation, and hybrid teamwork in Hyderabad.

Build and scale core platform systems for a global eSIM consumer product. Own end-to-end features, optimize API performance, caching, data access, observability, and event pipelines. Create internal tooling and AI-assisted engineering workflows to improve developer velocity, reliability, and performance across global markets.

Hands-on staff full-stack engineer designing and delivering AI-driven systems: build frontends with React/Next.js/TypeScript, backends with Python/FastAPI, integrate LLMs and AI services, lead architecture, mentor engineers, and collaborate with business units to drive adoption.