Senior Software Engineer, Applied AI (Remote from Poland)

Prezento Technologies, Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

API
Artificial Intelligence
Amadeus CRS
Amazon Web Services (AWS)
Automated Storage and Retrieval Systems
Linux
Distributed Systems
Django
Python
Sabre (Computer System)
TypeScript
React
Large Language Models
Backend
Kotlin
Build Management
Kubernetes
Free and Open-Source Software
Front End Software Development
Terraform
Data Pipelines
Service Stack

Job 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

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.

About the company

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.

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