Lead Software Engineer | AI & Agentic Systems

Company Description

At IFS, we're building the next generation of AI-native enterprise software, transforming how some of the world's largest organisations manage assets, operations and critical services.

This is an opportunity to work at the forefront of modern AI engineering, building intelligent products that combine Large Language Models (LLMs), agentic AI and cloud-native technologies to solve complex, real-world business challenges at enterprise scale.

We're looking for engineers who are passionate about building production AI systems and excited by the opportunity to shape the future of enterprise software.

Please note that this role requires demonstrable, hands‑on experience designing, building and shipping production AI applications.

Candidates whose AI experience is limited to using tools such as ChatGPT, Claude, Cursor or GitHub Copilot to assist software development, without demonstrable experience building AI-powered products or systems, will not meet the requirements for this role.

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award‑winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Job Description

We are looking for a talented Lead/Senior Software Engineer to join our Enterprise Asset Management team and play a leading role in designing, building and evolving AI-native enterprise software. We're looking for engineers who have built and shipped production AI applications and are passionate about applying modern AI engineering practices to solve complex enterprise challenges.

Please note that this role requires demonstrable experience building and shipping production AI applications. Experience using AI tools such as ChatGPT, Claude, Cursor or GitHub Copilot to assist software development, without building AI-powered products, will not meet the requirements for this role.

The ideal candidate will demonstrate strong technical leadership, excellent problem-solving and communication skills, and a proven track record of delivering AI-powered software at scale. In this role, you will design and deliver AI-native Enterprise Asset Management solutions that combine modern cloud technologies with intelligent systems to solve complex business challenges. You'll build scalable, secure and high-quality software while applying AI-assisted engineering practices throughout the software development lifecycle. As a technical leader, you'll embed AI-first thinking across the team, mentor engineers, drive continuous improvement and help shape the future of enterprise software at IFS.

AI Mindset

You see AI as a fundamental shift in software engineering, not simply another technology or productivity tool.

You have experience designing, building and shipping intelligent software using technologies such as Large Language Models (LLMs), agentic AI, orchestration frameworks and intelligent workflows. You're equally comfortable applying AI to solve customer problems as you are using AI-assisted engineering practices to accelerate software delivery.

You naturally consider where AI can create genuine value, balancing innovation with reliability, security, scalability and maintainability. You challenge traditional approaches, embrace experimentation and continuously explore how emerging AI capabilities can improve products, engineering practices and customer outcomes.

Above all, you believe the future of enterprise software is AI-native, and you're excited to help build it.

Business Mindset

Aligns engineering decisions with business goals, focusing on initiatives that deliver measurable value. Understands the commercial impact of technical choices and evaluates where AI can create meaningful customer and business outcomes. Balances innovation, investment and technical complexity to help teams make decisions that support long-term organisational success.

Builds for Customers

Demonstrates a customer-first mindset by making technical decisions based on customer needs and feedback. Works directly with customers to understand operational challenges and identify where AI-native capabilities can simplify workflows, improve decision‑making and deliver measurable business value. Uses these insights to guide technical direction and prioritise customer outcomes.

Drives Progress with Accountability

Takes ownership of delivering results by removing blockers, setting clear priorities and maintaining high quality standards. Delivers on commitments or raises risks early when plans need to change. Makes pragmatic decisions on technical debt, AI adoption, engineering investments and quality while setting clear expectations and standards for others to follow.

Technical Skills

Required

AI Engineering

• Demonstrable experience designing, building and shipping production AI-powered applications.
• Hands‑on experience integrating and orchestrating Large Language Models (LLMs) within production software.
• Experience building agentic AI systems, intelligent workflows or AI orchestration capabilities.
• Experience evaluating AI solutions for quality, reliability, latency, cost and security.
• Understanding of prompt engineering, context engineering, Retrieval‑Augmented Generation (RAG), tool calling and modern AI application architectures.
• Experience applying AI‑assisted engineering practices throughout the software development lifecycle, including specification, implementation, testing and code review.
• Understanding of responsible AI principles, including governance, observability and production monitoring.
• Experience integrating AI‑assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar into day‑to‑day engineering workflows.

Software Engineering

• Strong hands‑on experience with Go and modern backend development, ideally with TypeScript/Node.js.
• Experience designing and building microservices, event‑driven systems and RESTful APIs using technologies such as Kafka, Redpanda and Kubernetes.
• Solid understanding of Domain‑Driven Design (DDD), bounded contexts, service decomposition and distributed system design.
• Experience with PostgreSQL, MongoDB and cloud platforms such as AWS and Azure.
• Strong knowledge of CI/CD, automated testing (unit, integration and end‑to‑end), observability and production operations.
• Understanding of secure software development, authentication/authorisation and DevSecOps practices.
• Familiarity with AI‑assisted Spec‑Driven Development (SDD).
• Strong analytical and problem‑solving skills, with the ability to lead technical initiatives and mentor engineers.

Beneficial

• Experience with React and modern frontend development.
• Experience building Enterprise SaaS or ERP products.
• Experience working with Model Context Protocol (MCP) or similar AI integration standards.
• Experience with vector databases, AI observability or AI evaluation frameworks.
• Experience designing and delivering enterprise‑scale AI platforms or AI‑powered products.

Qualifications

• A degree in Computer Science, Software Engineering or Information Technology along with minimum 6 years' experience in a similar role.
• Excellent communication and multi‑tasking skills along with an innovative mindset.

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

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