GenAI Engineer (LLM) | Python | RAG | LangChain | AI Integration
Indexed description
📍 Location: Jaipur
🏢 Work Mode: Work From Office (WFO)
About the Role
We are looking for an AI Integration Engineer to build and scale LLM-powered SaaS applications. The role involves integrating LLMs, developing RAG pipelines, optimizing AI workflows, and building secure, scalable AI-powered solutions.
Key Responsibilities
- Integrate LLM APIs for automation, parsing, and conversational AI.
- Design and optimize RAG pipelines and Prompt Engineering workflows.
- Build and manage Vector Databases for efficient knowledge retrieval.
- Ensure AI application security, scalability, and performance.
- Monitor and optimize AI model quality, latency, and cost.
- Collaborate with Product and Engineering teams to deliver AI-powered features.
Experience Required
- 3+ years of backend development experience using Python, Go, or Node.js.
- Experience with OpenAI, Claude, or Hugging Face.
- Hands-on experience with LangChain or LlamaIndex.
- Strong understanding of RAG and Vector Databases such as Pinecone, Weaviate, or pgvector.
- Experience with AWS, GCP, or Azure.
- Knowledge of APIs, Microservices, and Prompt Engineering.
Preferred
- Experience in FinTech or SaaS.
- Exposure to LLMOps, Model Fine-tuning, CI/CD, and AI Observability.
Skills
- LLM & Model Integration
- RAG Pipelines
- Vector Database Management
- AI Security & Compliance
- AI Performance Monitoring & Optimization
Education & Qualification
B.Tech / BCA / Technical Certification
Apply Now:
https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=linkedin
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