AI Engineering Jobs in India
There are 877 open AI Engineering jobs in India on freehire right now. 196 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Most requested skills
- ai 95%
- python 75%
- llm 74%
- cloud 66%
- api 60%
- machine-learning 60%
- agentic-ai 58%
- rag 58%
How the work is done
- Hybrid 120 · 14%
- Remote 108 · 12%
- Onsite 51 · 6%
Visa sponsorship offered in 31% of the 78 postings that state a position on it.
Seniority
- Senior 256
- Lead 87
- Principal 31
- Staff 29
- Intern 16
- C-level 14
Who is hiring
- 1000+ employees 219
- 501-1000 employees 52
- 51-200 employees 22
- 11-50 employees 11
- 201-500 employees 3
Gen AI / LLM Backend Developer - 2 to 5 Years
Design, develop, and maintain backend systems for generative AI and LLMs—building scalable APIs, integrating model inference pipelines, optimizing performance, and managing production deployments using Python/Java/Node.js and cloud platforms.
DevOps Engineer (+ IT Administrator duties) — Applied AI Lab, B2B SaaS
DevOps Engineer with IT Admin duties owning CI/CD, cloud infrastructure, uptime/on-call, MDM, SSO, API key rotation, and HIPAA-adjacent controls across four AI-powered healthcare SaaS products.
Senior AI Engineer I
Senior AI Engineer at American Express in Bengaluru designing and shipping LLM-powered and agentic features for financial services using Python, Go, and cloud platforms.
Expert AI Engineer
Designs, builds, and scales enterprise-grade generative AI applications using LLMs, RAG, and Agentic AI on Microsoft Azure, integrating multiple data sources and ensuring reliability and governance.
Staff AI Engineer - Servicing Enablement Platform
Build and lead agentic AI systems for American Express’s servicing platforms, designing autonomous workflows, LLM orchestration, and evaluation tooling in Python/Go/TypeScript on AWS/GCP.
AI Engineer III
Develops and maintains LLM-powered, agentic AI workflows for American Express’s enterprise platforms, focusing on RAG pipelines, tool orchestration, and production-grade AI systems with strict financial/regulatory compliance.
GenAI Developer
The GenAI Developer will design and deploy enterprise-grade Generative AI applications, focusing on RAG pipelines, LLM integration, and AI agents. The role requires strong Python backend engineering skills and experience with Azure AI services, vector databases, and containerized cloud deployments.
Generative AI -DevOps-Senior Associate
DevOps Senior Associate at PwC Bangalore deploying and managing Kubernetes/Docker apps, building YAML-driven CI/CD pipelines across Azure DevOps, GitHub Actions, and OCI, and provisioning multi-cloud infrastructure with Terraform, including LLMOps tooling for ML workflows.
Generative AI Architect-Senior Manager
Senior Manager Generative AI Architect at PwC Bangalore, designing and implementing enterprise Agentic AI frameworks, RAG architectures, and multi-agent systems while leading client engagements across cloud AI platforms.
Associate AI Engineer
The Associate AI Engineer supports the development and deployment of GenAI-powered applications and agentic workflows. The role involves working with foundational AI APIs, vector databases, and prompt engineering to build intelligent systems.
SR AI Engineer
The Senior AI Engineer will design and deploy cloud-based data pipelines, machine learning models, and full-stack applications to support manufacturing operations. The role involves leveraging GCP, Vertex AI, and modern MLOps practices to build scalable AI solutions and GenAI initiatives.
AI Engineer
The AI Engineer will design and build enterprise-grade AI applications, intelligent agents, and autonomous workflows using Python, LLMs, and AWS cloud technologies. The role focuses on implementing RAG pipelines and AI orchestration to drive business process transformation within the banking sector.
AI Engineer
The AI Engineer will design, build, and deploy scalable AI and agentic solutions within Barclays, utilizing technologies like AWS, Python, and LLM frameworks. The role involves cross-functional collaboration to deliver secure, data-driven digital solutions while adhering to MLOps and governance standards.
AI Engineer - VP
The AI Engineer (VP) will lead engineering teams in designing and operating enterprise-grade, real-time streaming and data platforms. This hands-on leadership role requires deep expertise in Java, distributed systems, and streaming technologies like Kafka or Flink to support critical financial business outcomes.
AI Engineer
Build and deploy AI models for financial research and trading systems, focusing on low-latency, reliable production integration and tooling for quant researchers.