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

Staff ML - GenAI Engineer, Voice & Speech
Build and lead ML infrastructure for voice/GenAI at scale, enabling teams to ship AI-powered features while democratizing ML tooling for developers.
Senior AI Engineer, AI Engineering
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Senior Application Engineer - AI (Python, FastAPI & LLM)
Build and ship production-grade AI features end-to-end using Python, FastAPI, and LLM APIs on AWS Bedrock, integrating prompt handling, fallbacks, and observability into Guidewire’s insurance platform.
Principal AI Engineer
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Core AI Engineer
Designs and deploys enterprise-grade AI solutions (LLMs, RAG, agentic workflows) for financial markets infrastructure, focusing on scalability, integration with vector databases, and production-grade AI frameworks.
Core AI Engineer
Build and lead enterprise-scale AI platforms using LLMs, RAG, and agentic systems; set standards for reliability, governance, and reuse across teams.
Principal GenAI & Agentic AI Engineer
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP, defining standards, pipelines, and guardrails to power AI-native travel retailing platforms.
LLM Model Developer
Fine-tune and adapt large language models to improve instruction-following and domain-specific performance for production use.
LLM Model Developer
Fine-tunes large language models using instruction fine-tuning and domain adaptation to improve model relevance and performance for specific contexts.
Sr. Software Engineer (3-6 years of experience in Agentic AI / GenAI / LLM / RAG, Python)
Build agentic AI workflows in Python to automate corporate IT reliability tasks like incident triage, root-cause analysis, and remediation, using LLMs, RAG, and agent frameworks.
Lead AI Engineer
Lead the design and delivery of enterprise-scale AI systems, including agentic workflows, LLM applications, and MLOps tooling, using Python/Go and cloud-native stacks.
Lead AI Engineer
Lead the design and deployment of enterprise-grade AI/GenAI solutions, including RAG pipelines and intelligent workflows, using Python, LLMs, and enterprise integrations.
Python AI Engineer
Builds Python-based automation scripts and integrations for enterprise systems using Selenium, Pandas, and REST APIs.
Senior Voice AI Engineer
About the Role We are looking for a Senior Voice AI Engineer to build and scale next-generation conversational Voice AI systems. You will work on real-time, low-latency voice pipelines involving Speech-to-Text (STT),…
Python AI Engineer, LLMs, Generative AI
Lead the design, development, and deployment of Python-based AI solutions, focusing on LLMs and Generative AI, while mentoring teams and driving strategic adoption of AI technologies.
AI Engineer
Builds and deploys AI/Generative AI solutions (LLMs, RAG, agentic systems) to optimize Mastercard’s pricing and interchange strategies, improving decision-making and operational efficiency in fintech.
Senior AI Engineer- Consultant
Build and deploy generative AI systems using RAG, LLMs, and cloud-native MLOps on Azure, while mentoring teams to deliver scalable AI solutions across industries.