Senior Lead / Principal Software Engineer (Agentic Engineering / Research) – IFS Labs

• Identify, evaluate, and validate emerging technologies, architectural patterns, and industry trends relevant to IFS products and customers.
• Design, build, and deliver prototypes, proof-of-concepts, and production-ready capabilities across software engineering, cloud, data, and AI domains.
• Lead technical investigations and architectural studies, producing clear recommendations, reference implementations, and actionable next steps.
• Drive complex technical initiatives from concept through implementation and product handover, applying agentic engineering and AI-assisted workflows to accelerate delivery.
• Collaborate closely with Product Management, Industry teams, Engineering teams, Sales, Presales, customers, and partners to validate ideas, solve real business problems, and shape future IFS products and technology direction.
• Contribute to technical strategy, architectural direction, and engineering practices across IFS.
• Represent IFS in customer engagements, strategic demonstrations, major events, and partner collaborations.
• Mentor engineers and champion engineering excellence, technical curiosity, and high-quality delivery.

Essential

• Bachelor’s degree in Software Engineering, Computer Science, Information Technology, or a related field.
• 8+ years of professional experience in software engineering and software architecture, demonstrated through successfully delivered products and platforms.
• Deep expertise in one or more programming languages such as Python, Java, C#, Golang, or TypeScript.
• Extensive experience designing, building, deploying, and operating enterprise-grade software, with strong architectural expertise across distributed, cloud-native, API-driven, and event-driven systems.
• Proven track record of taking ideas from concept and prototype through to production-ready solutions that integrate with enterprise applications, business processes, and data platforms.
• Demonstrated proficiency in AI-assisted research and software engineering, using tools such as GitHub Copilot, Cursor, Claude Code, and modern AI platforms to accelerate technology evaluation, architectural reasoning, and implementation.
• Exceptional ability to rapidly learn and apply new technologies, combined with strong systems thinking, architectural judgement, and a bias towards experimentation and delivery.
• Strong engineering judgement with a relentless focus on code quality, maintainability, security, operational reliability, and fitness for purpose.
• Proven ability to lead complex technical initiatives, influence technical direction, and communicate effectively with technical and non-technical stakeholders.
• Ability to connect technology decisions to customer outcomes, business value, and product strategy, combining innovative thinking with pragmatic execution.

Desirable

• Experience with applied AI, agentic systems, LLM-powered applications, or data-intensive platforms.
• Experience applying agentic engineering practices and agentic workflows to accelerate research, architecture, implementation, testing, and documentation.
• Experience with Spec-Driven Development (SDD) or comparable agent-driven engineering methodologies such as BMAD.
• Hands-on experience with cloud platforms, preferably Azure, including CI/CD, containerization, observability, and infrastructure automation.
• Strong full-stack engineering experience across modern backend technologies.
• Experience working directly with customers, stakeholders, and domain experts to validate ideas and deliver business value.
• Experience with enterprise or industrial domains such as ERP, Service Management, Asset Management, Manufacturing, Supply Chain, industrial IoT, robotics, autonomous systems, digital twins, or cyber-physical systems.
• Knowledge of the IFS product portfolio and the industries it serves.