Senior Full Stack Software Engineer | AI & LLM Applications @ Oversee

At Oversee, we are reimagining how corporate travel is managed.

Our cutting-edge technology and machine learning solutions replace the outdated, manual processes that slow companies down — unlocking cost savings, efficiency, and smarter decisions.

We bring together travel analytics and actionable insights, giving global enterprises a clear view of their spend and the tools to continuously improve their programs.

Now, we’re building the next frontier - AgentSee, our AI travel assistant that automates the complex workflows of travel agents. AgentSee uses LLMs and agentic reasoning to handle cancellations, exchanges, and traveler conversations across channels.

We’re growing fast, with exponential YoY revenue growth and partnerships with some of the world’s largest Fortune 500 companies.

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.

Why join us?

You’ll join as a Senior Full Stack Software Engineer with hands-on experience building products powered by LLMs, contributing directly to the development of our AgentSee AI platform. This is a rare opportunity to work at the intersection of AI, automation, and large-scale real-world data.

Come shape the future of business travel with us!

• 5+ years of experience in software engineering, with a track record of building production systems
• Strong background in designing scalable, distributed applications
• Proven hands-on experience developing or integrating products using LLMs (e.g., RAG pipelines, custom agents, fine-tuning, or orchestration frameworks like LangChain / LlamaIndex)
• Hands-on experience with Python
• Solid understanding of Linux runtime environments
• Skilled at identifying and solving performance bottlenecks
• Excellent collaboration skills with the ability to give and receive constructive feedback
• Fluent in English, with strong written and verbal communication
• Proactive, curious, and eager to keep learning

At Oversee, we are reimagining how corporate travel is managed.

Our cutting-edge technology and machine learning solutions replace the outdated, manual processes that slow companies down — unlocking cost savings, efficiency, and smarter decisions.

We bring together travel analytics and actionable insights, giving global enterprises a clear view of their spend and the tools to continuously improve their programs.

Now, we’re building the next frontier - AgentSee, our AI travel assistant that automates the complex workflows of travel agents. AgentSee uses LLMs and agentic reasoning to handle cancellations, exchanges, and traveler conversations across channels.

We’re growing fast, with exponential YoY revenue growth and partnerships with some of the world’s largest Fortune 500 companies.

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.

Why join us?

You’ll join as a Senior Full Stack Software Engineer with hands-on experience building products powered by LLMs, contributing directly to the development of our AgentSee AI platform. This is a rare opportunity to work at the intersection of AI, automation, and large-scale real-world data.

Come shape the future of business travel with us!

,[Design, build, and scale AI-driven systems that power our virtual agent capabilities (conversational reasoning, retrieval, and automation flows);, Develop backend services and data pipelines that integrate multiple APIs (Amadeus, Sabre, internal systems) to support real-time decision-making;, Collaborate with other teams to ship LLM-based features that deliver measurable impact;, Own architecture decisions for distributed, high-performance AI applications;, Continuously improve model performance, reliability, and monitoring frameworks;, Help define our engineering best practices, guide technical decisions, and mentor other developers within the team.] Requirements : Python, LLM, AWS, Terraform, RAG, LangChain Additionally : Small teams, Stock options, Global team, Competitive salary.