Years of Experience: 5+ years

Required Technologies: langchain, CrewAI, LangGraph, FastApi, Django, Python, Amazon Web Services (AWS), google cloud platform, microsoft azure, Pinecone, Weaviate, Chroma

Required Languages: English - Advanced

Description

AI Native Developer (LangChain + CrewAI Developer) – Intelligent Guest Experience Platform

?? Remote (min 2 hrs EST overlap) | ?? 3–6 month contract

We're looking for an AI Native Developer to build an intelligent guest experience platform using cutting-edge large language models, agentic workflows, and cloud-native infrastructure. You'll work closely with our Product Manager and engineering team to design production-ready AI agents for the hospitality sector.

?? Key Responsibilities

Agentic AI Systems

• Build multi-agent workflows with LangChain, CrewAI, or AutoGen
• Design agents that reason, plan, and interact with hotel systems
• Create memory-enabled agents for personalized, contextual guest experiences

Advanced RAG & LLM Infrastructure

• Architect multi-tenant RAG pipelines and semantic routing
• Fine-tune and deploy domain-specific LLMs (OpenAI, Anthropic, open-weight models)
• Build evaluation frameworks for continuous model improvement

Production AI Services

• Design scalable inference endpoints
• Create API middleware for hotel PMS/POS systems (Oracle OPERA, Mews, Toast)
• Implement real-time streaming and feedback loops

Mobile-First Architecture

• Develop mobile-optimized conversational AI interfaces
• Build personalization engines and real-time recommendation systems

? Required Experience

• 5+ years in AI/ML Engineering, including production systems
• Hands-on with LangChain, CrewAI, LangGraph or similar frameworks
• Deep understanding of LLMs, fine-tuning, and prompt engineering
• Proficiency with vector DBs: Pinecone, Weaviate, Chroma
• Strong Python (FastAPI, Django), async programming
• Experience with cloud (AWS, GCP, Azure), Docker, Kubernetes
• Familiarity with multi-tenant systems, APIs (REST, GraphQL), and real-time data pipelines

?? Bonus Points

• Experience with multimodal models, reinforcement learning, or knowledge graphs
• Background in hospitality tech (PMS, POS, booking systems)
• Security & compliance (ISO 27001, GDPR, etc.)
• Strong collaboration skills and open-source contributions

?? Stack Highlights

LangChain, CrewAI, LangGraph, OpenAI API, Pinecone, Weaviate, AWS Bedrock, FastAPI, Docker, Kubernetes, MLflow, Weights & Biases

?? Why This Role?

• Build AI agents that autonomously handle real-world hospitality workflows
• Work with a product-led team that iterates fast and integrates user feedback
• Help shape the future of AI-native hospitality experiences

?? Logistics

• Duration: 3–6 months, with potential extension
• Time Zone: Must overlap at least 2 hrs with EST
• Process: Weekly sprints, daily standups, architecture reviews
• Language: Fluent English required

Notes

3-6 month collaboration with potential extension.

Hospitality experience is a nice-to-have qualification

Hourly engagement