AI Engineering Jobs in India
There are 886 open AI Engineering jobs in India on freehire right now. 199 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 59%
- agentic-ai 58%
- rag 58%
How the work is done
- Hybrid 121 · 14%
- Remote 111 · 13%
- Onsite 51 · 6%
Visa sponsorship offered in 31% of the 78 postings that state a position on it.
Seniority
- Senior 261
- Lead 89
- Principal 31
- Staff 30
- Intern 16
- C-level 14
Who is hiring
- 1000+ employees 221
- 501-1000 employees 56
- 51-200 employees 22
- 11-50 employees 11
- 201-500 employees 3
LLM Operations Engineer
Build and maintain production-grade AI pipelines, deploy generative models, and monitor LLM performance using cloud-native tools and MLOps practices.
Senior AI Engineer
Senior AI Engineer builds and deploys multi-agent systems and RAG pipelines to automate complex enterprise workflows, integrating with platforms like SAP and Jira using Python, FastAPI, and AWS.
LLM Operations Engineer
Build and deploy LLM-powered, multi-agent AI systems that plan, reason, and execute workflows using frameworks like LangChain and Azure OpenAI.
AI Engineer
Senior AI Engineer Location: Hyderabad, India Department: Product & Engineering About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data,…
AI Engineer
Design and deploy AI systems for medical imaging, including LLMs, OCR, and computer vision, using Python, FastAPI, and Docker in a healthcare-focused company.
GEN AI Engineer
Designs and builds generative AI applications using LLMs, RAG, and agentic flows, with Python and cloud platforms like AWS Bedrock and GCP Vertex AI.
Senior AI Engineer
Sr. AI Engineer - Data Pipelines & Context Systems Location: Bangalore Department: Technology At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence…
Generative AI Developer
Gen AI Developer -Assistant Vice President Location: Bangalore, Karnataka, India Employment Type: Regular C12: Lead AI Engineer Job Title: Lead AI Engineer Job Code: TBD Job Family Group: Decision Management Job…
Generative AI Developer
Gen AI Developer -Assistant Vice President Location: Bangalore, Karnataka, India Employment Type: Regular Job Description The Senior AI Engineer is a senior professional responsible for architecting, designing, and…
Generative AI Engineer
GenAI Engineer Location: Pune, Maharashtra, India Employment Type: Regular The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the…
Generative AI Developer
GEN AI Developer Location: Bangalore, Karnataka, India, Pune, Maharashtra, India Employment Type: Regular Job Requisition: Gen AI Developer (5 to 8 years) The Spec Analytics Intmd Analyst is a developing professional…
Assistant Vice President - Applied AI Engineer
Design and build enterprise-grade AI/ML systems, including agentic workflows, LLM applications, and MLOps tooling, using Python/Go/Java and cloud-native stacks in a financial-services environment.
Applied - AI Engineer
Build and deliver AI/ML features, including agentic AI and LLM-powered applications, for enterprise-scale systems at a global bank using Python, cloud platforms, and AI frameworks.
Vice President – AI Engineer
Lead the design, development, and scaling of enterprise-grade AI systems including agentic AI, LLMs, and MLOps pipelines for a global bank, using Python/Go/Java and cloud-native tools.
LLM Model Developer
Fine-tunes large language models using instruction fine-tuning and domain adaptation to improve model relevance and performance in specific contexts.
Founding AI Engineer
Build and deploy AI systems for an insurance-tech platform, focusing on LLM-powered automation and traditional ML to streamline quoting, underwriting, and embedded insurance workflows.
Prompt Engineer, Multi-Agent Systems
Design and maintain a system of AI agents that collaborate to handle customer interactions, using prompt engineering, evaluation frameworks, and observability tools to ensure reliability and performance at scale.