Top Engineering Jobs in Hyderabad

Build parsers and automated cross-layer root-cause analysis for cellular modem, Wi-Fi, and CPE diagnostics. Analyze modem traces, crash dumps, driver and firmware logs, packet captures, and Android radio interfaces. Encode cellular and Wi-Fi troubleshooting logic to support remediation workflows. The role requires deep expertise in either cellular modem/baseband systems or OpenWrt and Wi-Fi networking, with substantial ownership in a small startup environment.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Validate and test blockchain and Web3 products across the development lifecycle: create and run test plans, validate smart contract and wallet interactions, test APIs and web platforms, track and verify bugs, collaborate on releases, and improve automation, reliability, performance, and security.

Design and implement smart contracts and blockchain-based applications, build backend integrations with blockchain networks, participate in architecture and security reviews, improve scalability and reliability, mentor engineers, and collaborate with product and design to ship production-ready Web3 products.

Build and scale Python/FastAPI backend services for a multi-tenant SaaS platform. Design APIs for frontends, partners, and AI agents; integrate real-time and batch data systems; develop context APIs, prompt orchestration, and evaluation pipelines; and implement authentication, RBAC, tenant isolation, security, testing, and performance optimizations. Own backend development from design through production while collaborating with product, design, and LLM teams.

Build and optimize scalable, high-performance frontend applications and responsive user interfaces. Collaborate with designers and backend engineers to implement UI/UX designs, integrate APIs, manage data flows and state, and improve application performance, code quality, and developer experience. The role requires strong JavaScript, Node.js, Next.js, and TypeScript skills, along with experience in Tailwind CSS, design systems, and component libraries.

Own the technical sales cycle for Exa’s API in India, including customer discovery, solution design, demos, prototypes, POCs, technical evaluations, and objection handling. Partner with account executives, support expansion opportunities, advise customers on AI use cases, feed market insights to product and engineering, and develop regional playbooks. The role also supports onboarding and early implementations while representing Exa at technical events.

Owns data architecture and scalable engineering systems for an AI-native finance platform. Responsibilities include canonical data modeling, configurable connectors, SQL/dbt transformation, warehouse optimization, orchestration, CDC, lineage, data quality, schema evolution, and audit-ready traceability. The role also supports curated data for ML and LLM systems, customer-hosted multi-cloud deployments, mentoring distributed engineers, and collaboration with AI, backend, product, and US-based leadership.

Build production AI systems for finance teams, including per-customer anomaly detection models, grounded natural-language generation, agentic workflows, and managed LLM integrations. Develop Python services with SQL and warehouse access in containerized customer deployments. Establish rigorous evaluation, anti-leakage, hallucination, grounding, and faithfulness controls, incorporate human confirmation checkpoints, and convert user feedback into durable model and system improvements.

Lead QA automation strategy and people management while building comprehensive API, UI, backend, performance, security, and database test frameworks. Develop Python and TypeScript automation, integrate quality gates into CI/CD, validate multi-tenant SaaS isolation, and support compliance requirements. Collaborate with Product, Engineering, and DevOps on testability, releases, metrics, and risk communication. Preferred experience includes AI/LLM testing, fintech, observability, chaos engineering, and startup environments.

Own core backend services for a finance AI platform, building reliable, configuration-driven computation systems over financial and operational data. Ensure results are traceable, reproducible, auditable, and correctly reconciled. Provide technical leadership through architecture, design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams. The role involves production Python, advanced SQL and data modeling, multi-tenant or customer-hosted deployments, and high standards for correctness and system reliability.

Lead design and implementation of scalable ServiceNow solutions: develop custom apps, workflows, integrations (REST/SOAP), CMDB/CSDM models, security controls, Service Catalog and portal experiences, mentor developers, support CI/CD and Agile delivery, and run client workshops and technical design sessions.

Run and debug system-level workloads on Synopsys ZeBu emulators, validate secure boot and platform security features, integrate and bring up transactors across high- and low-speed interfaces, manage regressions, and root-cause hardware, firmware, software, and test failures. Develop host-side automation and drivers, tune performance, and collaborate with RTL, design verification, and software teams to resolve system-level issues before silicon.

Develop web and mobile applications with React and React Native, build Python backend services and REST APIs, design relational databases, maintain ETL pipelines, integrate enterprise systems, troubleshoot production issues, and contribute to AI-powered products. The role involves writing tested code, optimizing performance, and collaborating with product, design, and AI engineering teams.

Develop generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and enterprise automation solutions. Build Python backend services and REST APIs, integrate commercial and open-source language models, use AI development frameworks, support AWS deployment, and perform prompt engineering, testing, debugging, and optimization. Collaborate with engineering and product teams to deliver maintainable, production-ready AI software.

Build and maintain AI/ML applications, LLM-powered solutions, AI agents, agentic workflows, and Model Context Protocol integrations. Develop prompt, retrieval, tool-calling, and workflow automation systems; evaluate model quality, safety, and reliability; and support production deployment, monitoring, and continuous improvement. Collaborate with product, engineering, and business teams, while documenting architectures and implementation details.

Senior ServiceNow Developer responsible for implementing, configuring, supporting, and enhancing ServiceNow HRSD, CSM, and ITSM modules. Duties include production and sandbox support, scripting, workflow automation, reporting, CMDB and Discovery, release testing, security administration, user training, and REST/SOAP/API integrations with tools such as Jira and PagerDuty. The role troubleshoots integration and production issues, manages enterprise ServiceNow environments, and collaborates with business and technical stakeholders.

Build and maintain Turso’s open-source database and cloud platform. Responsibilities include advancing PostgreSQL compatibility, ensuring software correctness through testing and verification, operating cloud APIs and data planes, and scaling systems to support substantially more databases. The role involves Rust development, embedded database technology, large-scale cloud operations, observability, reliability, performance improvements, and collaboration with customers, open-source communities, and distributed teams.

Develop, maintain, optimize, and troubleshoot SQL Server databases supporting enterprise healthcare applications. Write complex queries, stored procedures, functions, triggers, views, and indexes; safely implement live database changes; perform testing and performance tuning; resolve production issues; and ensure secure coding and HIPAA compliance. Collaborate with engineering and internal customers using Agile practices, provide technical guidance, document designs, and support software enhancements and deployments.

Own client accounts and improve brand visibility across AI search platforms. Responsibilities include auditing AI visibility, identifying and implementing content, schema, and technical fixes, preparing client updates and reports, and automating recurring tasks with scripts and workflows. The role uses AI tools extensively and requires clear communication, rapid learning, practical debugging, and comfort working directly with clients.

Conduct AI visibility audits across ChatGPT, Perplexity, and Google AI Mode; identify content, schema, and technical improvements; use AI tools to run scripts; prepare client reports and updates; and document repeatable processes. The role involves live client work, communication, experimentation, and learning SEO, analytics, and AI visibility tools on the job.

Develop and maintain high-quality software, collaborate cross-functionally to ship features, identify bottlenecks, fix bugs, and evaluate technologies that improve development efficiency. The role requires independent ownership, strong problem-solving and product thinking, effective communication, and a willingness to exchange constructive feedback in a flat, remote organization.

Build and secure CI/CD pipelines, harden build and deployment systems, integrate application and dependency security testing, and manage infrastructure-as-code security across cloud environments. Partner with R&D teams to implement security automation, guardrails, and standards. Support compliance alignment and incident response for build, deployment, and production infrastructure while advising engineers on practical security tradeoffs.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Provides technical onboarding and deployment support for enterprise customers using voice AI agents. Responsibilities include designing integrations, building conversational agents, debugging production issues across APIs, telephony, webhooks, and LLMs, analyzing logs and transcripts, resolving incidents, and translating customer feedback into product improvements. The role partners with Engineering, Product, Customer Success, customer developers, and telephony providers.