RAG applications jobs
8 open roles for rag applications, updated continuously as employers post them.
Hiring most here right now:
Senior AI Engineer
A senior AI engineering role at Hiremaven, fully remote within India, building enterprise AI agents and RAG applications. Suits an engineer with 6+ years in AI/ML or backend engineering who works directly with customers.
Senior Data Scientist
Senior data scientist role in Pune focused on generative AI for AML transaction monitoring and regulatory compliance. The role suits hands-on LLM practitioners who can build RAG, agent, evaluation, and production AI systems.
Principal AI Engineer
Volante Technologies is hiring a principal AI engineer to shape enterprise AI architecture and lead delivery of AI platforms and products in India. The role is aimed at a senior technical leader with substantial software engineering and generative AI experience.
AI / Generative AI Engineer - Agentic Systems & Platforms - VOIS
Vodafone is hiring a full-time AI / Generative AI Engineer in Pune to build enterprise LLM applications, RAG systems, and agentic workflows. The role suits Python backend engineers with cloud, data, and production AI experience.
Forward Deployed Engineer (Agentic AI)
C5i is hiring a Forward Deployed Engineer in Bengaluru to build and deploy agentic AI systems for regulated enterprise clients. The role suits a mid-level Python engineer with cloud, RAG, security, and client-facing delivery experience.
Applied AI Engineer
Hybrid Applied AI Engineer role in Bengaluru focused on document intelligence, RAG and AI agents for regulated life-sciences workflows. It suits an AI engineer who can build reliable, source-grounded LLM products.
AI Engineer
Onsite AI Engineer role in Bengaluru focused on LLM applications, agents and backend services for telecom SaaS. It suits an engineer who can deliver retrieval-based AI features and operate them in production.
Applied AI Engineer
Onsite Applied AI Engineer role in Bengaluru focused on LLM applications, agentic workflows, retrieval systems and backend services. It suits an experienced Python engineer who can take AI features into production.