Experience: 2–3+ Years
Employment Type: Full-Time

Job Summary

We are hiring an AI / LLM Integration Engineer to develop enterprise-grade AI capabilities for an HR-EMS-GPT platform. The role involves building retrieval systems, integrating LLMs, optimizing AI responses, and ensuring secure access to organizational knowledge.

Key Responsibilities

• Build HR document Q&A systems
• Develop employee analytics assistants
• Design and manage prompt libraries
• Implement RAG pipelines
• Create secure retrieval workflows
• Reduce hallucinations and improve answer quality
• Add citations and source attribution
• Implement role-based AI access controls
• Monitor and optimize token usage

Required Skills

• OpenAI API
• Azure OpenAI
• LangChain or LlamaIndex
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Vector Databases
• Prompt Engineering
• Document Parsing
• PDF, Excel, and Text Ingestion
• Guardrails and AI Safety
• Response Evaluation Frameworks
• Token Cost Optimization

Nice to Have

• Pinecone
• Qdrant
• Weaviate
• pgvector
• OpenSearch
• Enterprise AI implementations
• HRMS or ERP domain experience

Why Join Us?

• Build real-world AI products at enterprise scale
• Work on advanced LLM and RAG architectures
• Collaborate with experienced engineering teams
• Opportunity to influence product and AI strategy

Apply with your resume, GitHub profile, and AI project portfolio.

Benefits:

• Flexible schedule
• Paid sick time

Work Location: In person