Top Artificial Intelligence Jobs in Hyderabad

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.

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.

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.

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.

Create, review, and refine advanced mathematical problems, solutions, and proofs for AI training datasets. Design challenging problems, validate reasoning, identify errors, and produce clear technical explanations. Apply research methodology, provide structured feedback, and collaborate with project teams to improve mathematical content quality.

Design and build realistic cloud and backend environments to evaluate AI-driven tasks. Create distributed-system scenarios covering deployment, troubleshooting, scaling, security, disaster recovery, observability, and validation tests. Produce reference implementations and faulty configurations, document architectures and procedures, and collaborate with technical leads to refine specifications.

Design and presales of end-to-end AI/HPC infrastructure: size GPU clusters, storage, networking, Kubernetes/container platforms, integrate liquid-cooled racks with facility constraints, validate solutions with OEMs, and support delivery for scalable, operable AI deployments.

Design, develop, and deploy ML models and pipelines; preprocess data and engineer features; implement MLOps (Docker, Kubernetes, CI/CD); collaborate with stakeholders to translate business problems into AI solutions; monitor and optimize model performance and maintain documentation and governance.

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.

Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.

Design, develop, and deploy generative AI and NLP solutions using Python and related libraries. Integrate models with React front ends, use LangChain/LangGraph, AWD Bedrock and Azure Foundry for deployment, optimize model performance, handle large datasets, implement RAG and vector search, mentor junior engineers, and maintain documentation and best practices.

Independent full-cycle recruiter managing sourcing, client engagement, offer negotiation, and placements using AI-driven tools. Acts as commercial advisor, provides market insights, and maintains self-directed billing and activity in a results-only, remote environment.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

The AI Engineer will design and develop applications using LLMs, implement multi-agent workflows, optimize RAG pipelines, and contribute to full-stack development, collaborating with teams across regions.

The role involves building AI-powered products, designing reliable LLM-powered systems, and ensuring performance and quality. You'll collaborate in fast-paced environments and own the full product lifecycle.

Lead a hands-on AI-first engineering pod to design, build, and ship agentic orchestration pipelines integrated with Slack, issue trackers, Git and CI/CD. Implement AI-assisted development responsibly, improve CI/CD and quality gates, modernize legacy .NET Core 2.1, mentor engineers, codify playbooks and guardrails, and ensure fintech-grade security and auditability.

Design and build secure, scalable enterprise automation using n8n and related platforms. Implement AI-enabled workflows, API-first and event-driven integrations, CI/CD, observability, governance, and monitoring. Lead architecture and reviews, define standards and templates, mentor teams, and measure impact via automation metrics.

Design and implement graph compiler optimizations (fusion, quantization, tiling) to convert TensorFlow/PyTorch models into IR, improve performance and hardware utilization, collaborate with ML researchers and hardware architects, and lead a team focused on compiler and code-generation improvements.

Freelance specialist to analyze semiconductor device behavior, review fabrication and process-integration methods, assess scaling, performance, yield and reliability, interpret technical data, identify gaps, and provide clear explanations and structured feedback to improve AI-generated microelectronics engineering content.

Review 3D CAD models and engineering drawings for manufacturability, GD&T correctness, and tolerance stack-ups; recommend DFM improvements; develop realistic design/manufacturing scenarios; explain engineering mechanics and tribology; and provide structured feedback to improve AI-generated engineering content.

Design, build, deploy, and maintain AI-native web applications and internal platforms. Use LLMs, autonomous agents, and AI tools to accelerate development. Build secure APIs, databases, CI/CD pipelines, and containerized cloud deployments. Collaborate with stakeholders, conduct code reviews, implement guardrails, and ensure production reliability and security.