Top Artificial Intelligence Jobs in Hyderabad

Manage enterprise client relationships in Hyderabad, drive renewals and upsells, support technical recruiting squads, resolve client issues, and represent Xenon7 to grow revenue and ensure client satisfaction.

Work on AI/ML/Deep Learning models for new use cases, gain exposure to real-world industry data, produce written artifacts (articles), participate in guided knowledge-transfer sessions, and potentially earn recommendation or a pre-placement offer based on performance.

Design, build, and maintain AI infrastructure: architect Terraform and Crossplane modules, create GitOps with FluxCD, engineer Azure DevOps pipelines, operate and troubleshoot AKS (networking, scaling, identity), implement workload identity, define observability, perform technical reviews, and mentor junior engineers.

Lead enterprise growth and pre-sales for Algoreus by identifying opportunities, developing industry-specific ERP and AI propositions, running discovery workshops, producing strategic proposals and business cases, and enabling sales with executive presentations and reusable proposal content.

The Senior Software Engineer will develop AI-integrated products with Javascript and Typescript, contribute to web application deployment, and ensure code quality within a dynamic team.

Develop and optimize AI-driven solutions using AI frameworks, cloud platforms, and large language models, integrating AI into business processes.

Build and maintain LLM-powered applications and MCP servers, implement tool/function calling and prompt pipelines, rapidly prototype new AI tools, track AI tool releases, and deliver weekly intelligence reports with demos and recommended integrations.

Lead governance and continuous improvement of AI operations reporting, dashboards, and KPIs. Analyze consumption, billing, cost, capacity, and performance data to produce executive and operational reports, detect anomalies, recommend actions, and support forecasting, chargeback, and data governance across AI platforms.

Provide hands-on technical support to customers deploying, operating, and scaling ArangoDB-based AI systems. Diagnose issues, optimize queries and performance, configure deployments across Kubernetes and cloud/on-prem, debug networking/storage, script automations, and document solutions while collaborating with Product and Engineering.

Create original graduate-to-PhD-level problems and rigorous step-by-step solutions in STEM fields, review AI-generated answers to identify reasoning or factual errors, and ensure clarity and verifiability. Work remotely and asynchronously through an online platform after identity verification and an initial assessment.

Design self-contained, realistic software engineering problems for AI agents, configure Docker development environments, write deterministic automated tests, and produce verified reference solutions. Work independently to debug unfamiliar codebases and ensure tasks are solvable and gradable.

Engage with clients to identify AI integration opportunities using Beacon.li's platform, translate requirements into product features, drive roadmap prioritization, collaborate with engineering/design/data science, deliver demos/workshops, and monitor post-deployment performance to ensure client value.

Manage full sales cycle for Oorwin AI in the US region: prospecting, demos, negotiating contracts, closing deals, and account expansion. Maintain CRM records, collaborate with marketing, product, and customer success, and consistently meet monthly quotas and performance targets.

Develop and integrate AI-driven features into web applications. Build responsive, interactive UI components with JavaScript, HTML, and CSS. Work with AI/ML models and APIs, optimize performance for scalability, collaborate with product/design/engineering teams, write clean maintainable code, and communicate progress and challenges to stakeholders and clients.

Lead design, training, and fine-tuning of large-scale ML/DL models (LLMs and generative systems) for drug discovery. Build scalable training pipelines, data pipelines, and production-ready model deployments; collaborate with engineering teams; translate research into applied AI solutions and continuously improve model performance and reproducibility.

Execute fashion design briefs using Raspberry AI to produce flats, tech packs, colorways, prints, mood boards, and concept visuals. Translate creative direction into precise prompts, iterate on feedback, maintain brand-consistent quality, document workflows, flag platform issues, and partner with US Customer Success for intake and delivery under tight turnarounds.

Design and build production LLM-based agent systems, governance knowledge pipelines, hybrid retrieval and evaluation frameworks, and platform infrastructure. Implement behavioral shaping, observability, and constraints to ensure agents align with governance and compliance requirements, collaborating with product and data teams.

Design and deliver enterprise AI solutions on SAP BTP: build/deploy ML models (AI Core/Launchpad), integrate Joule across SAP products, prototype AI use cases, create intelligent workflows with SAP Build Process Automation, define AI architecture, MLOps pipelines, and multi-cloud integration patterns aligned with Clean Core.

The AI Engineer will maintain and enhance AI services on the Sootra platform, optimizing pipelines, managing microservices, and developing feedback systems to improve AI performance.

As a Senior Full Stack Developer, you will design and build end-to-end features across backend and frontend using .NET and React, collaborate on system architecture, and integrate AI capabilities.

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Design and build the core intelligence layer for enterprise AI workflows: document extraction, retrieval, ranking, generation, evaluation pipelines, agentic task execution, and integration into a polished product while prioritizing accuracy, traceability, and human-in-the-loop review.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Build and maintain Python/FastAPI backend services and React frontends, design and consume REST APIs, work with relational databases, and implement/debug AI-enabled features including vector DBs, embeddings, semantic search, and RAG workflows. Improve existing codebases, collaborate with product and design, participate in testing, deployment, and monitoring, and ensure performance, security, and maintainability.

The AI Tech Lead will design, develop, and implement AI solutions, focusing on LLM and RAG systems, while collaborating with engineers and product managers to innovate and optimize AI workflows.