Senior Software Engineer, Applied AI (Remote from Poland)

At Oversee, we’re leading the way in travel spend optimization, transforming how business travel is managed for companies around the world. Our AI-powered technology combines price assurance, advanced travel analytics, AI Agents, and reporting tools to give organizations a complete view of their travel spend, enabling cost savings and improved travel experiences.

• 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
• 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

• Design, build, and scale AI-driven systems powering virtual agent capabilities such as conversational reasoning, retrieval systems, tool calling, and automation workflows
• Develop backend services and data pipelines integrating multiple APIs (Amadeus, Sabre, internal systems, third-party platforms) for real-time decision-making
• Build and deploy AI agents solving real-world business problems
• Own architecture decisions for distributed, high-performance AI applications
• Continuously improve model performance, reliability, observability, and evaluation frameworks
• Define engineering best practices and contribute to technical direction across the team

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.