{"id":708517,"url":"https://alion.io/job/oversee-senior-software-engineer-applied-ai-remote-from-poland","title":"Senior Software Engineer, Applied AI (Remote from Poland)","company":{"id":685331,"name":"Oversee","domain":"oversee.biz","url":"https://alion.io/company/oversee-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":98000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":233},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"CrewAI","optional":true},{"name":"Django","optional":true},{"name":"Embeddings","optional":true},{"name":"Google ADK","optional":true},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"React.js","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-06-16T00:00:00Z","employer_posted_date":"2026-06-16","last_verified_at":"2026-10-31T14:48:45Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":137},"description":"At Oversee, we build practical AI solutions for the $1.6 trillion global travel industry.\nFor over a decade, we have helped travel agencies and global enterprises cut travel costs and work more efficiently. Our AI-based reshopping products, FareSaver for air and HotelSaver for hotels, track booked trips and automatically rebook them when a better rate becomes available.\nAgentSee, our agentic AI platform, works alongside travel agents. It reads traveler requests, handles bookings and changes, and takes on routine servicing tasks, so agents can manage more trips while improving service quality.\nWe work with the largest travel agencies and fortune 500 companies, supporting over $15B in annual booking volume for more than 11,000 customers in over 60 countries.\nIf you want to solve real problems with a focused team in a fast-moving market, Oversee is the place to build, grow, and make an impact.\nWhy join us?\nYou 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.\nYou’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.\nCome shape the future of business travel with us!\nWhat you’ll do:\nDesign, build, and scale AI-driven systems that power our virtual agent capabilities, including conversational reasoning, retrieval, tool calling, and automation workflows;\nDevelop backend services and data pipelines that integrate multiple APIs, including Amadeus, Sabre, internal systems, and third-party platforms, to support real-time decision-making;\nBuild and deploy AI agents that solve real-world business problems;\nDesign evaluation, testing, and observability systems to understand how agents behave in production and continuously improve their accuracy and reliability;\nSolve the engineering challenges that come with probabilistic AI systems, including latency, failures, model behavior, cost, and scalability;\nOwn problems end-to-end, from understanding the problem and shaping the technical approach through implementation, deployment, and production monitoring;\nOwn architecture decisions for distributed, high-performance AI applications;\nHelp define engineering best practices and contribute to the technical direction of the team;\nCollaborate closely with Product and other teams to turn complex business problems into reliable AI-powered solutions.\nAbout you:\n5+ years of experience building production software systems;\nStrong Python and backend engineering skills;\nStrong experience designing and developing scalable, distributed applications;\nHands-on experience building and shipping LLM-powered products or features to production;\nExperience with AI agents, agentic workflows, RAG, tool calling, or orchestration systems;\nStrong understanding of the challenges of production AI systems, including evaluation, reliability, latency, cost, and failure handling;\nComfortable owning problems end-to-end and making technical decisions with a high degree of autonomy;\nComfortable using modern AI coding tools as part of your day-to-day engineering workflow while maintaining strong ownership of code quality and technical decisions;\nSolid understanding of Linux runtime environments;\nExperience identifying and solving performance bottlenecks;\nFluent English, written and spoken;\nCurious, proactive, and excited about learning new technologies;\nComfortable operating in a fast-moving environment where requirements can evolve and engineers have significant ownership.\nBonus points if you have:\nExperience designing evaluation or monitoring systems for production LLM applications;\nExperience with embeddings, vector databases, and advanced retrieval architectures;\nFamiliarity with frameworks and protocols such as LangChain, LangGraph, LlamaIndex, Google ADK, CrewAI, MCP, or similar;\nExperience experimenting with different models, retrieval approaches, or agent architectures;\nExposure to travel-tech or GDS integrations, particularly Sabre, Amadeus, or Travelport;\nHands-on experience with Kubernetes, AWS, Terraform, and CI/CD tooling;\nOpen-source contributions, side projects, or technical writing\nOur technology stack:\nBackend: Python, Django, Kotlin\nFrontend: TypeScript, React\nInfrastructure: Kubernetes, AWS, Terraform\nData: High-scale pipelines & distributed systems\nIf you’re excited about building real AI products and not just talking about them, we’d love to meet you.\nWe are proud to be an equal opportunity workplace.\nWe 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 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