About Oversee
At Oversee, we are reimagining how corporate travel is managed. Our advanced technology and machine learning eliminate outdated, manual processes that hold companies back—driving cost savings, improving efficiency, and enabling smarter decision-making. We are the global leader for air and hotel reshopping solutions and provide AgentSee, an AI-powered productivity tool designed to help Travel Management Companies (TMCs) work smarter and faster.
Why join us?
You will join our AI team and help build production-grade AI agents used by global enterprises. You’ll work on real-world problems at the intersection of LLMs, automation, and large-scale travel data, with the freedom to shape both the technology and the product. You’ll work on production AI systems, including agent orchestration, retrieval systems, tool calling, workflow automation, large-scale integrations, and real-time decision-making.
What you’ll do:
- Design, build, and scale AI-driven systems that power our virtual agent capabilities, including conversational reasoning, retrieval systems, tool calling, and automation workflows.
- Develop backend services and data pipelines that integrate multiple APIs (Amadeus, Sabre, internal systems, and third-party platforms) to support real-time decision-making.
- Build and deploy AI agents that solve real-world business problems.
- Own architecture decisions for distributed, high-performance AI applications.
- Continuously improve model performance, reliability, observability, and evaluation frameworks.
- Help define engineering best practices and contribute to technical direction across the team.
About you:
- Proven hands-on experience developing or integrating products using LLMs.
- 5+ years of experience building production software systems.
- Strong experience designing and developing scalable backend applications.
- Experience with AI agents, agentic workflows, RAG pipelines, tool-calling systems, or orchestration frameworks.
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Google ADK, CrewAI, MCP, or similar technologies.
- Strong Python skills.
- Solid understanding of Linux runtime environments.
- Experience identifying and solving performance bottlenecks.
Bonus points:
- Production experience with agentic AI systems.
- Knowledge of RAG architectures, embeddings, and vector databases.
- Familiarity with AI evaluation and monitoring frameworks.
- Exposure to travel-tech or GDS integrations.
- Experience with Kubernetes, AWS, Terraform, and CI/CD tooling.
Our technology stack:
- Backend: Python, Django, Kotlin
- Frontend: TypeScript, React
- Infrastructure: Kubernetes, AWS, Terraform
- Data: High-scale pipelines & distributed systems