AI Engineering Jobs in India
There are 878 open AI Engineering jobs in India on freehire right now. 200 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 73%
- cloud 66%
- api 60%
- machine-learning 59%
- agentic-ai 58%
- rag 58%
How the work is done
- Hybrid 120 · 14%
- Remote 109 · 12%
- Onsite 51 · 6%
Visa sponsorship offered in 31% of the 78 postings that state a position on it.
Seniority
- Senior 258
- 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
AI Engineer
AI Engineer at Barclays building full-stack GenAI solutions (LLMs, RAG, vector stores) using Python or Java with React/Angular, delivered via cloud-native DevSecOps with Docker, Kubernetes, and CI/CD.
AI Engineer
The AI Engineer at Barclays will design and deploy production-grade AI/ML and LLM systems, focusing on agentic frameworks, MLOps, and RAG architectures within a secure banking environment. The role involves building internal developer tooling and collaborating across teams to deliver scalable, compliant AI solutions.
JAVA AI Engineer
The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions, including Generative AI and LLM-based applications. The role involves building MLOps pipelines, integrating AI into enterprise systems, and collaborating with cross-functional teams to drive business value.
Engineering Manager in Back End - LLM (Gurugram based relocation provided)
Lead a backend engineering team building scalable, fault-tolerant systems that support Agoda’s machine learning and LLM capabilities, using languages like Scala and Go, and technologies like Kafka and Aerospike.
Lead Agentic AI Engineer ID80141
Lead AI engineer architecting GenAI/RAG workflows for a cloud security tooling team, automating Terraform module and Rego policy generation across public cloud infrastructure.
Senior Agentic AI Engineer ID80140
Develop Agentic AI systems that automate cloud security baseline enforcement and remediation using RAG, vector databases, LLM APIs (OpenAI/Anthropic), Terraform modules, and Rego policies for CI/CD pipelines.
Langchain Deployment AI Engineer ( LangGraph, LangSmith, Fleet, DeepAgents, Traces, Evaluations)
Hands-on AI engineer deploying production-grade LangChain/LangGraph agentic systems for consulting clients — building RAG pipelines, tool integrations, and observability with LangSmith across cloud platforms.
Python AI Engineer
Build AI-powered products from concept to production, including LLM workflows, AI agents, multimodal solutions, and analytics platforms using geospatial, IoT, and image data. Core tech: Python, LLMs, vision models.
Generative AI Engineer
Builds and deploys production-grade generative AI systems using LLMs, RAG, and AI agents in Python, integrating with vector databases and cloud AI platforms.
Senior AI Engineer - Supply Chain
Senior AI Engineer builds and maintains AI agents that automate complex supply chain decisions by querying industrial knowledge graphs, using tools like Cognite Flows and React/Python stacks.
Agentic AI Engineer , AVP
The Agentic AI Engineer will lead the architecture and implementation of multi-agent workflows and event-driven platforms within State Street's GenAI Center of Excellence. This AVP-level role involves setting technical standards, managing cloud-native deployments, and mentoring engineering teams.
Agentic AI Engineer - Senior Associate - AI Managed Services - Consult
Build and deliver agentic AI managed services solutions for clients at PwC's India Acceleration Center, focusing on LLM orchestration, automation frameworks, and process optimization using Python, FastAPI, AWS Bedrock, Docker, and Kubernetes.
VP - Applied AI ML Lead
The Applied AI/ML Vice President will design, develop, and productionize AI/ML solutions for Asset & Wealth Management, utilizing Python, NLP, and machine learning frameworks. The role involves collaborating with stakeholders to solve complex business problems and coaching team members.