Senior Software Engineer, Applied AI

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Oversee (formerly FairFly)

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

🚗 Transport

Artificial Intelligence • B2B • Transport

Oversee is a company that specializes in travel spend optimization, providing comprehensive solutions for travel management companies, travel agencies, and online travel agencies. Its platform utilizes AI-driven tools to optimize travel policies, assure air and hotel prices, and transform fare and rate fluctuations into client savings. Oversee partners with businesses to ensure compliance, maximize travel budgets, and unlock growth opportunities without compromising service quality. Their technology aids in real-time sourcing optimization and contract auditing, ensuring significant discount savings and error reduction. The company is committed to elevating travel programs with data-driven insights and actionable supplier performance metrics, enhancing traveler experiences while maintaining cost-effectiveness.

📋 Description

• 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.

🎯 Requirements

• 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

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