Top Artificial Intelligence Jobs in Delhi

Develop and optimize small language models using Hugging Face, TRL, LoRA, QLoRA, and PEFT. Build MLOps pipelines, optimize models through quantization and distillation, deploy them to edge and mobile environments, and monitor production performance. Evaluate model quality with benchmarking frameworks and custom evaluation suites while meeting strict latency and hardware utilization targets.

Design, build, and deploy production-grade AI/LLM systems and agentic workflows. Implement prompt and context engineering, RAG, vector search, and LangGraph-based agents. Develop backend APIs, data pipelines, and monitoring for performance, scalability, and cost optimization while collaborating with product, data science, and engineering teams.

Lead architecture, build, and deploy context-rich LLM and agent-based AI solutions. Design prompts, manage context/RAG and vector search, implement production Python services, integrate models and agents, ensure data pipeline quality, monitor and optimize agent performance, and guide cross-functional teams on scalable, secure AI deployments.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Design and deploy agentic AI systems for logistics: architect multi-agent workflows, build retrieval pipelines and tool integrations, own agent lifecycle from discovery to production, implement guardrails/evaluation/logging, and deliver lightweight monitoring interfaces while embedding with business teams.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

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

The Partner AI Deployment Engineer will guide AWS engagements, shape technical strategy, build AI architectures, and mentor partners to drive successful AI deployments.

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

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

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

The Principal Product Manager for Agentic AI Platform will lead the AI strategy and lifecycle, define capabilities, and ensure collaboration for scalable AI solutions in enterprise SaaS.

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.

Invite software agencies and engineers to connect Git repositories for evaluation and potential licensing for AI training. Platform measures source-code and Git-history token volume, provides estimated licensing value and quality feedback, and pays contributors when repositories are used under license. Must own or have authority to license code and meet platform quality and legal requirements.

Provide senior accounting and finance advisory for SMBs: analyze financial data, answer complex accounting questions, review QuickBooks Online records, recommend bookkeeping workflows, reconciliations, and reporting, and advise owners and finance stakeholders.

Design, build, and deploy end-to-end agentic AI and LLM applications and predictive ML models for enterprise customers. Own full lifecycle from data exploration and model development to APIs, MLOps/LLMOps pipelines, and production deployment across cloud and on-prem. Implement guardrails, evaluation frameworks, and monitoring. Work directly with customers, contribute to pre-sales proofs-of-concept, and collaborate with cross-functional teams to deliver production-grade, secure, and maintainable AI solutions.

Maintain and optimize production LLM/VLM services and microservices (Flask/FastAPI), manage async queues, deploy and monitor Uvicorn/Gunicorn hosts, integrate LLM routing tools, design prompt strategies, build feedback/evaluation pipelines, expose secure REST APIs, and track token usage, latency, and errors to ensure SaaS-grade AI performance.

The role involves developing and managing integration processes using Boomi and Workato for complex business needs in finance and operations.

We are seeking a Senior Developer for automation and analytics projects, focusing on integration processes using Dell Boomi and Workato. Responsibilities include solution development, documentation, and client relationship management in both cloud and on-premise environments.

Manage design and deployment of integration solutions using Boomi and Workato, ensuring successful implementation and troubleshooting of integration processes.

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.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Design and lead enterprise-scale Agentic and Generative AI architectures, multi-agent systems, and knowledge-driven retrieval solutions. Define governance, observability, LLM selection, and production best practices. Lead PoCs to production, mentor teams, and advise stakeholders on AI strategy and transformation.