Senior DRAM RTL design engineer โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
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Design Engineers in Hyderabad
101 active opportunities ยท Updated October 2026
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Explore current design engineers jobs in Hyderabad. Filter by work mode, employment type, experience, department, date posted and distance.
Staff Physical Design Engineer-DPG-LPDDR โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Design Verification Engineer โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Staff Engineer Design โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Staff Engineer Design โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Senior Engineer - Design Verification โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Staff Engineer - Design Verification โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Senior Memory Circuit Design Verification Engineer โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Senior Memory Circuit Design Verification Engineer โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Sr Engineer, Advanced Packaging Design Enablement Engineering (APDEE) โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Sr Engineer, Advanced Packaging Design Enablement Engineering (APDEE) โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Senior Memory Circuit Design Verification Engineer โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Senior Memory circuit design verification engineer โ Hyderabad - Phoenix Aquila, India. Apply via Workday.
Opportunity Overview: We are seeking a Senior Software Engineer - AI to join our Engineering team. In this role, you will build the intelligent agents and applications serving health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale. This is an opportunity to make a direct impact on healthcare outcomes while working with modern technologies in a fast-paced, collaborative environment. What youโll do: Agent Development : Participate in the development, evaluation, and deployment of Cohereโs AI-powered agents and applications. Data & Retrieval Architecture : Design data and retrieval architectures that give AI agents the right context across diverse healthcare sources. Hands-On Engineering : Design, review, and own high-quality agentic code โ leading releases, production deployments and on-call support. Cross-Functional Collaboration : Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. Security & Compliance : Ensure all agentic components comply with healthcare security and privacy regulations (e.g., HIPAA) and adhere to industry best practices for security. Agile Development : Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: Must-haves Bachelorโs degree
Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycleโfrom problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality
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