Top Artificial Intelligence Jobs in Hyderabad

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

Native German speaker will evaluate AI-generated email responses for accuracy, relevance, helpfulness, and personalization using their professional Gmail history; compare outputs, identify errors or unsupported personalization, provide structured feedback, follow guidelines, and maintain confidentiality over a 16-week contractor assignment.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.

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.

Evaluate AI-generated responses for accuracy, relevance, helpfulness, and personalization using a primary Google Workspace business Gmail account. Compare outputs, identify incorrect or unsupported personalization, provide structured feedback, follow project guidelines, maintain confidentiality, and complete evaluations within timelines.

Design and build reproducible, containerized cloud platform challenges covering networking, IAM, observability, deployments, scalability, and disaster recovery. Develop automated validation tests, reference and defective solutions, debug environments, and document architecture and validation logic.

Develop and optimize AI models for efficient inference on custom silicon. Build fine-tuning pipelines, implement acceleration techniques (quantization, sparsity, distillation), create benchmarking and profiling tools, and collaborate with hardware, compiler, and quantization teams to translate algorithmic improvements into real hardware gains.

Review and validate neuroscience research, case studies, and AI-generated content; create clear explanations, annotations, and scenario-based exercises; identify errors and inconsistencies; apply current neuroscience methods and provide structured, evidence-based feedback to improve content quality for AI training.

Review biochemical datasets, protocols, and literature to evaluate AI-generated content for scientific accuracy. Develop realistic scenarios and training materials, identify errors or missing context, provide structured, evidence-based feedback, and explain complex biochemical concepts clearly. Participate in iterative content review and validation to improve AI understanding of life science topics.

Review and validate pharmacology content, create realistic cases and structured datasets, evaluate AI-generated pharmacology responses, identify errors and missing context, provide evidence-based feedback, and translate complex pharmacological concepts into clear training materials while documenting methodology and collaborating with multidisciplinary teams.

Design and implement the core AI layer for enterprise workflows: document extraction, retrieval, ranking, evaluation, agentic task execution, structured data generation, and integration into a polished product with emphasis on accuracy, traceability, and human review.

Lead enterprise clients to improve AI search visibility through analysis, custom GEO playbooks, C-suite presentations, prompt testing, monthly reporting, and cross-functional product collaboration to drive platform adoption and measurable visibility gains.

Design, build and deploy AI agents, automation workflows and system integrations using Azure AI, OpenAI and Microsoft Power Platform. Automate business processes, create dashboards and data pipelines, integrate Microsoft Business Central/SharePoint/365 with third-party systems, and lead projects from requirements through deployment and user training.

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

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Negotiate, redline, and finalize customer and partner contracts (BAAs, DPAs, NDAs, MSAs, SOWs); draft reusable templates; advise on GDPR, CCPA/CPRA and SCCs; ensure contract terms align with SOC 2 and ISO 27001; support Sales and Compliance, accelerate deal velocity with fast redlines and customer calls; build contract processes and workflows at a fast-growing AI startup. Contractor role with Pacific Time availability required.

Develop and execute organic marketing strategies to drive lead generation. Manage SEO, content-driven email campaigns, and webinars. Analyze campaign performance and optimize for improvements. Support revenue operations (RevOps) to align marketing with sales.

Design, develop, and deploy advanced AI/ML models; manage large-scale data pipelines; build conversational and generative AI solutions; collaborate with stakeholders; monitor and optimize production models; document workflows and implement industry best practices.

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

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

The Mid/Senior AI Cinematic Video Editor will create narrative-driven video content using AI tools, manage production workflows, and ensure visual cohesion.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.