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Job description
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Our advanced technology and machine learning eliminate outdated, manual processes that hold companies back - driving cost savings , improving efficiency, and enabling smarter decision-making.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.
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Who can apply
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