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P&C Re Engineering is looking for a Software Engineer to help build and evolve the AI and agentic systems behind our reinsurance business. This is a hands-on engineering role for someone who enjoys shipping production software, is fluent — or eager to become fluent — with agentic coding tools, and wants to work at the frontier of applied AI. It is a contract engagement within one of our business-line squads. Agentic Engineering builds and runs AI and agentic systems for reinsurance — across Claims, Treaty and Facultative lines — on the platforms the firm already runs. While this is a hands-on engineering role, it rewards a strong product and quality mindset: you will own the software behind a line's AI systems and lead its development toward genuinely agentic systems. What you will do As a Software Engineer in the team, you will build, evolve and run the software behind a line's AI systems — the services and workflows that LLM-based agents use. You will work day-to-day with agentic coding harnesses (e.g. Claude Code): breaking work into well-scoped tasks, directing AI agents to build and modify code, and reviewing their output with calibrated scrutiny — spec-first, tested, and accountable for what your agents produce. You will work closely with the Product, Architecture and Domain Delivery organisations. If you join us, you will for example: Maintain, refactor and extend the line's AI applications and services in production Build agentic-friendly software: the tools, services and workflows that LLM-based agents call Design AI workflows that combine models, prompts, tools, enterprise data, and business logic Validate model behavior, outputs, and assumptions from a production and business-use perspective Design and maintain evaluation frameworks for AI/LLM systems, including test suites and human evaluation workflows Write evaluations and quality checks for agent behavior, and build in grounding and assurance Ensure reliability, scalability, cost control, and latency optimization Help bring new agentic systems into production We are a small, senior and hands-on team working at the frontier of applied AI for reinsurance. Our focus on agentic engineering connects us: we invest in the tools and patterns that let a small team deliver outsized impact, and we expect everyone to share what they learn. About you Nobody is perfect and meets 100% of the requirements. If you meet many of the criteria below and are excited to build production AI systems with agentic tooling, we would be happy to meet you. In order to be successful in the role, you bring: Strong software engineering: a modern language (Python, TypeScript, or Java / Kotlin), clean code, automated testing, CI/CD A Forward Deployed Engineer mindset — a desire to understand the business problem, the impact the solution makes, and to drive pragmatic decisions towards realising it API / service / integration engineering Familiarity with LLM application patterns (prompting, retrieval-augmented generation, tool / function calling) and an appetite for agentic development Comfort working with agentic coding harnesses (e.g. Claude Code) — directing AI agents and reviewing generated code — and in a Linux / cloud environment The ability to pick up and improve an existing codebase Exposure to Data Science methods in validating AI models It is a strong plus if you also have: Hands-on agentic / LLM application development (agent loops, evaluations, tool design) Experience with Palantir Foundry / AIP (valued, not required) Insurance or reinsurance domain exposure Experience with cloud AI services (e.g. Azure AI) Even if you do not tick every box, but are eager to grow into this role and work at the frontier of agentic engineering, we encourage you to apply. Thank you for taking the time to read our job advertisement. We look forward to getting to know you. For Slovakia the base salary range for this position is between [EUR 2,400] and [EUR 4,100] per month (for a full-time role). The specific salary offered considers: the requirements, scope, complexity and responsibilities of the role, the applicant’s own profile including education/qualifications, expertise, specialisation, skills and experience. In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits. Eligibility may vary depending on the terms of Swiss Re policies and your employment contract. About Swiss Re Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying. .swissre_footer { position: relative; margin-top: -50px; height: 30px; clear: both; margin-bottom: 20px; background: #EEE none repeat scroll 0% 0%; line-height: 30px; padding: 0px 10px; color: #AAA; font-family: "Arial,Helvetica,sans-serif"; } .swissre_jobtemplate { width: 970px; max-width: 100%; height: auto; } .jobDisplay .job { font-family: "Arial" !important; font-size: 12px !important; } .joqReqDescription { max-width: 100%; height: auto; align: center; } .joqReqDescription ul { width: 787px; max-width: 100%; } .joqReqDescription p { width: 827px; max-width: 100%; } Keywords: [[cust_keywords]] Reference Code: [[id]]
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.