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Our advanced technology and machine learning eliminate outdated, manual processes that hold companies back - driving cost savings, improving efficiency, and enabling smarter decision-making.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 combine travel analytics with actionable insights, giving global enterprises the tools to gain visibility into their travel spend while continuously optimizing their programs.
We are the global leader for air and hotel reshopping solutions and also provide “AgentSee”, an AI-powered productivity tool designed to help Travel Management Companies (TMCs) work smarter and faster. AgentSee automates manual tasks like processing traveler emails, booking flights, and managing travel arrangements; enabling TMCs to reduce costs and improve service quality.
If you are looking for a dynamic, fast-paced, and positive environment and want to help solve a $17B global problem - Oversee is the place to build, grow, and make an impact.
We’re growing fast, with exponential YoY revenue growth and partnerships with some of the world’s largest Fortune 500 companies.
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, not demos. Think agent orchestration, retrieval systems, tool calling, workflow automation, large-scale integrations, and real-time decision-making.
Come shape the future of business travel with us!
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
- Fluent English, written and spoken
- Curious, proactive, and excited about learning new technologies
Bonus points if you have:
- 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
- Kubernetes, AWS, Terraform, and CI/CD tooling
- Open-source contributions, side projects, or technical writing
- Startup mindset and comfort operating with ambiguity
Our technology stack:
- Backend: Python, Django, Kotlin
- Frontend: TypeScript, React
- Infrastructure: Kubernetes, AWS, Terraform
- Data: High-scale pipelines & distributed systems
If you’re excited about building real AI products and not just talking about them, we’d love to meet you.
We are proud to be an equal opportunity workplace.
We provide employment opportunities without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status.
Skills Required
- 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
- Fluent English, written and spoken
- Curious, proactive, and excited about learning new technologies
- 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
- Kubernetes, AWS, Terraform, and CI/CD tooling
- Open-source contributions, side projects, or technical writing
- Startup mindset and comfort operating with ambiguity
What We Do
Oversee (formerly FairFly) is the leading provider of Travel Spend Optimization, serving 29 of the Fortune 100, 86 of the Fortune 500, and 38 of BTN Corporate Travel 100 companies worldwide. For nearly a decade, customers have relied on Oversee’s AI-powered air & hotel travel price assurance and travel data analytics to optimize their travel program, supplier relations, and travel spend, seizing exceptional savings and increasing their return on travel investment. Oversee also offers dedicated solutions for travel agencies, TMCs, and OTAs to boost automation, optimize business processes, and increase profitability.
