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.

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.

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.

Manage and optimize multi-cloud infrastructure (Azure, AWS, GCP), support AI/ML workloads, implement IaC and CI/CD, automate operations, ensure cloud security and compliance, and collaborate across teams while providing on-call and documentation support.

Lead design and delivery of scalable, secure enterprise applications across full stack. Drive architecture, modernization, performance optimization, platform reliability, mentoring, and adoption of AI-assisted engineering practices while collaborating with product and business stakeholders.

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.

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 strategy, architecture, delivery, modernization, and operational excellence for clinical, client, and pharmacy platforms. Drive cloud transformation, AI-first initiatives (Agentic/Generative AI), Digital Workers, platform simplification, compliance, and high-performing distributed engineering teams to improve reliability, scalability, and healthcare outcomes.

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, 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.

Develop automation tooling and scripts (Python/Go/Bash) to eliminate manual operational toil. Manage Kubernetes deployments with Helm, automate DB operations across SQL/NoSQL, maintain CI/CD and GitOps pipelines, implement observability and self-healing infrastructure, and apply software engineering practices to infrastructure code.

Build scalable frontend components and dynamic Generative UIs with TypeScript and React/Next.js or Angular. Design Python backend services and APIs for multi-agent GenAI workflows. Architect secure AWS infrastructure using Terraform, Docker, and CI/CD. Integrate databases, manage model-serving protocols, and apply agentic SDLC with AI coding assistants.

Build scalable frontend UIs and reusable TypeScript components, design Python-based backend services and APIs for LLM/agentic workflows, implement secure AWS cloud infrastructure with Terraform and Docker, maintain CI/CD pipelines, and integrate AI tooling while applying testing, security, and agentic SDLC practices.

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.

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.

The Senior QA Software Engineer - AI will design and implement test strategies for AI-driven solutions, develop automated testing frameworks, and mentor junior engineers while ensuring quality across software applications in legal, tax, and compliance domains.

Lead architecture and development of cloud-native Python services and large-scale data pipelines on AWS. Provide technical leadership across teams, build reusable frameworks and IaC, adopt CI/CD, observability, and security best practices, and evaluate/adopt GenAI tools and LLM integrations for scalable production systems.

Lead and mentor engineering teams to design, build, and deliver scalable, secure, AI-enabled cloud-native applications. Own architecture, drive technical strategy, implement CI/CD and IaC, contribute hands-on to APIs, microservices, integrations, and AI/LLM initiatives while engaging stakeholders and ensuring operational excellence.

As a Senior Software Engineer - AI, you will develop AI-driven software solutions, collaborate with teams, implement advanced AI systems, and mentor junior engineers.

Design and execute test plans for web, Salesforce, and enterprise applications; perform functional, regression, integration, and end-to-end testing; build and maintain Playwright automation frameworks; integrate tests into CI/CD; track defects; support performance/security testing; mentor junior QA engineers and promote quality best practices.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Lead ownership of end-to-end development for one or more product modules, designing and building scalable SaaS services using .NET/C#, REST APIs, SQL/NoSQL, and Flutter/React. Collaborate with product, design, and engineering teams; manage full software lifecycle, deploy and monitor services in cloud (AWS/Azure); leverage AI-assisted development tools responsibly; build reusable engineering assets and automation to improve productivity and reliability.

Serve as a senior solutions engineer for Identity & Fraud products: advise delivery/support teams across the SDLC, provide operational guidance, product consultancy, incident support, and drive AI-native automation. Deliver and troubleshoot SaaS and on-prem solutions, implement cloud/DevOps/CI-CD practices (AWS, Git/Jenkins/Ansible/Terraform), monitoring (Splunk, DynaTrace), container/orchestration platforms (Docker, Kubernetes, EKS), Kafka and API testing tools, while documenting and advocating customer-driven improvements.