Top Artificial Intelligence Jobs in Delhi

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Research, design, and train large-scale transformer and hybrid foundation models. Diagnose training instabilities, optimize scaling tradeoffs, define next-gen architectures, develop loss and alignment strategies (RLHF/DPO/GRPO), and lead distributed training (FSDP, ZeRO-3, tensor/pipeline parallelism) with mixed precision and gradient checkpointing while partnering with ML systems teams.

Lead AI-enabled customer support initiatives across a SaaS product portfolio. Identify and implement AI triage, automation, deflection and self-service improvements. Own and optimize Zendesk AI capabilities, collaborate with support, product and operations, define success metrics, and communicate outcomes to stakeholders.

Lead architecture and development of customer-facing AI agents and multi-agent "Super Agents," design agent orchestration and automated workflow frameworks, drive LLM integration and prompt engineering best practices, provide technical leadership across cloud-native backend systems, and mentor senior engineers to productionize AI-driven solutions at scale.

The role involves evaluating AI outputs, reviewing text, analyzing multimedia, and providing culturally relevant content in Kannada while ensuring quality and accuracy.

The role involves reviewing and evaluating AI-generated content, providing feedback based on cultural appropriateness and clarity, and ensuring high-quality deliverables for AI projects.

As an AI Expert, you will review and evaluate AI-generated outputs, correct text, analyze multimedia content, and ensure cultural appropriateness and accuracy in the outputs.

The role involves evaluating AI outputs, creating culturally relevant content, spotting issues, and providing structured feedback to improve AI models.

The role involves evaluating AI-generated content, reviewing text, creating annotations, and ensuring quality by applying cultural insights. Candidates must be detail-oriented and fluent in Assamese and English.

This role involves reviewing AI-generated content, ensuring cultural relevance, generating content, and providing assessments to improve AI models. Attention to detail and analytical skills are crucial.

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

Design and ship a 14-domain skills taxonomy and SDK/CLI tooling, operate the MCP server, integrate agent protocols, improve LLM grounding for crypto, run developer hackathons, and produce technical content to grow the ecosystem.

Build and scale AI-driven workflow features: integrate AI into Email/SMS/code actions, implement RAG and knowledge-base solutions, develop data extraction, text-to-voice, and analysis tools, optimize low-latency APIs, and mentor junior engineers.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.

Lead design and delivery of production-grade agentic AI systems: discovery with clients, build multi-agent/ RAG pipelines, develop backend integrations, deploy and scale agent workloads on AWS, and implement safety, observability, and human-in-the-loop controls.

As an AI Data Expert, you will evaluate AI-generated outputs, provide culturally relevant feedback, ensure content accuracy, and participate in quality assurance. This role requires strong analytical skills and attention to detail.

The AI Data Expert position involves evaluating AI outputs, generating content, and providing annotations to enhance AI training, all while considering cultural context. This role requires detail-oriented analysis, native language fluency, and strong English command.

As an AI Data Expert, you'll evaluate AI-generated outputs, review text, analyze multimedia, and provide structured feedback based on cultural standards.

The role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.

The role involves reviewing AI outputs, generating content, ensuring cultural accuracy, and providing structured feedback to improve AI models.

Review and evaluate AI-generated outputs, provide annotations, and contribute cultural insights to improve AI training. Requires detail-oriented judgment and strong language skills.

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.

Design and build a production multi-agent harness and MCP integrations that operate across ERPs, CRMs, and business tools. Own end-to-end production concerns (reliability, observability, permissions, safe workflow execution), scope the product, make architecture decisions, and ship features working closely with CTO, product, engineering, and design. Stay current with agent frameworks and use tools like Claude Code in development.