Top Artificial Intelligence Jobs in Hyderabad

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.

Build and enhance web applications using AI tools, develop frontend and backend integrations, automate workflows, and design UI screens, while collaborating in a fast-paced environment.

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

Develop and deploy Django-based web applications integrating AI models (OpenAI, Hugging Face). Build vector-search systems, design PostgreSQL/MongoDB schemas, create DRF APIs, preprocess unstructured data, collaborate with data scientists, and monitor AI model performance in production.

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.

Design, implement, and maintain production AI/ML solutions. Deploy scalable, secure models and software, collaborate with data scientists, ensure reliability and incorporate new frameworks and technologies.

Build and scale production-grade ML frameworks and decision systems for lending; design ML infrastructure, manage data and model lifecycles, enable multi-tenant analytics and agentic AI capabilities, monitor production performance, and document and propagate best practices.

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.

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.

Design and deliver enterprise-grade AI solutions by architecting cloud-native, scalable, secure AI/ML systems, integrating models into business workflows, optimizing big data and distributed compute, containerizing with Kubernetes, and providing technical leadership and platform recommendations (e.g., NVIDIA AI Enterprise).

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.

The Content Writer/Ai Editor will create high-quality content while leveraging AI tools for optimization, managing multiple projects, and adhering to brand guidelines.

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, build, and scale production-ready AI systems and agentic applications by integrating LLMs, VLMs, retrieval, tools, and microservices. Translate ambiguous requirements into technical specs, ensure observability, testing, security, and cost-efficient inference. Optimize prompts, evaluate models, apply Responsible AI principles, and mentor engineers to adopt AI-first engineering and system orchestration practices.

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.

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.

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.

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.

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 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 implement the core AI layer for enterprise compliance workflows: document extraction, retrieval, RAG, agentic task execution, evaluation pipelines, and human-reviewable AI features to improve accuracy, traceability, and workflow automation.

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.

Lead the AI strategy and transformation to improve customer experience. Drive product development, collaborate with global teams, and manage AI initiatives.

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.