Top Artificial Intelligence Jobs in Hyderabad

Design and scale a Go-based orchestrator and multi-tenant control plane for sandboxed Agentic AI applications. Build high-throughput REST/gRPC APIs, routing proxies and authentication layers, manage state synchronization across clusters (Consul/Nomad/Kubernetes), and surface real-time telemetry, logging, and streaming to developer SDKs.

Lead design and build of a multi-tenant control plane for AI agents using Go. Develop and scale distributed services, high-throughput APIs, authentication, streaming (Kafka/SSE), telemetry pipelines, and integrations with LLMs. Own reliability, SLOs, observability, mentor engineers, and collaborate cross-functionally to deliver secure, low-latency developer experiences.

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.

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

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

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.

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.

The role involves developing AI-driven backend systems, building APIs, and deploying solutions on GCP while collaborating with various teams. Responsibilities include optimizing performance and ensuring the reliability of services.

Responsible for designing, developing, and implementing complex software solutions with a focus on AI, collaborating with cross-functional teams, and mentoring junior engineers.

The role involves implementing compiler modules, developing production-grade components, performing optimizations, and mentoring junior engineers in a collaborative environment focused on edge AI solutions.

Design, develop, and optimize full stack applications integrating AI models, implement microservices architectures, and provide technical leadership in a cloud environment.

Support data pipelines for GenAI: debug and troubleshoot SQL databases, create scripts/macros and RPA for delivery optimization, use cloud platforms for data processing, perform web crawling, content cleanup, and pattern detection, and manage platform-to-client handoffs. Requires attention to detail, multitasking, and leadership ability.

The Agentic AI Engineer designs and builds cognitive architectures for AI agents interacting with ERP systems, focusing on autonomous decision-making and multi-agent coordination.

Lead the design and delivery of secure, scalable cloud-native solutions, focusing on AI strategy and data engineering within a regulated environment. Architect AWS-based solutions and drive the organization’s AI initiatives, ensuring compliance and engineering excellence.

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.

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 the design and development of accessibility tools, including a Chrome extension and AI-powered features, while mentoring junior developers and ensuring high engineering standards.

Develop and maintain accessibility tools, integrate AI features, improve browser extensions, collaborate with team, and uphold coding standards.

The Senior Power Platform Engineer will implement AI solutions, integrate Microsoft Copilot, and develop low-code applications to enhance business processes and productivity.

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.

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

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