Senior Software Engineer / Senior AI Engineer

Experteer Overview As a Senior Software Engineer / Senior AI Engineer in an Embedded Innovation Squad, you will shape AI-enabled solutions that turn experiments into validated, reusable capabilities. You’ll work across product areas, collaborating with host-function stakeholders to ensure builds fit real workflows and deliver measurable outcomes. You’ll design multi-component software, guide project plans, and help raise engineering standards through reviews and mentoring. This role offers exposure to cutting-edge AI workflows and the impact of scalable, enterprise-grade AI in research and healthcare domains. Pay / Benefits * Build prototypes and production-grade agentic AI solutions within a defined technical approach * Implement and test tool use, retrieval pipelines, and agent workflows * Contribute to evaluation, observability and guardrails for agentic systems with logging and alerting * Instrument solutions to capture outcome data against baselines * Integrate AI capabilities into existing enterprise workflows and systems * Translate product requirements into software designs with host-function stakeholders * Write and review detailed specifications for complex components * Complete moderately complex bug fixes and flag risks early * Implement CI/CD and modern SDLC practices including code reviews * Maintain high code quality and documentation, enabling reuse through patterns and starter kits * Collaborate across development environments (Agile, Waterfall) * Pair-program and mentor junior engineers * Develop mentoring skills and stay updated on new technologies * Support handover to host function ensuring operability after squad moves on * Keep up with technology developments and adjust responsibilities as needed Tasks * 4+ years of software engineering experience, with AI-enabled or data-intensive systems experience * BS in Engineering, Computer Science, or equivalent * Autonomous work style with ability to deliver in short cycles * Experience with agentic AI / LLMs, RAG pipelines, tool-augmented agents and retrieval-based workflows * Strong software design skills across multiple components * Ability to write and review detailed specifications for complex systems * Enterprise integration via APIs and data pipelines * Cloud experience (AWS, Azure, or GCP) * Delivery practices: CI/CD, modern SDLC, TDD, code review * Experience with relational, columnar, and vector data stores and data modeling * Proficiency in Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs * Mentoring and collaboration abilities * Clear communication with technical peers and stakeholders * Ability to instrument solutions to measure usage, productivity, and quality metrics Key requirements * Comprehensive Pension Plan * Generous vacation entitlement and sabbatical leave * Maternity, Paternity, Adoption, and Family Care Leave * Personal Choice budget * Internal communities and networks * Employee discounts

into existing enterprise workflows and systems * Translate product requirements into software designs with host-function stakeholders * Write and review detailed specifications for complex components * Complete moderately complex bug fixes and flag risks early * Implement CI/CD and modern SDLC practices including code reviews * Maintain high code quality and documentation, enabling reuse through patterns and starter kits * Collaborate across development environments (Agile, Waterfall) * Pair-program and mentor junior engineers * Develop mentoring skills and stay updated on new technologies * Support handover to host function ensuring operability after squad moves on * Keep up with technology developments and adjust responsibilities as needed Tasks * 4+ years of software engineering experience, with AI-enabled or data-intensive systems experience * BS in Engineering, Computer Science, or equivalent * Autonomous work style with ability to deliver in short cycles * Experience with agentic AI / LLMs, RAG pipelines, tool-augmented agents and retrieval-based workflows * Strong software design skills across multiple components * Ability to write and review detailed specifications for complex systems * Enterprise integration via APIs and data pipelines * Cloud experience (AWS, Azure, or GCP) * Delivery practices: CI/CD, modern SDLC, TDD, code review * Experience with relational, columnar, and vector data stores and data modeling * Proficiency in Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs * Mentoring and collaboration abilities * Clear communication with technical peers and stakeholders * Ability to instrument solutions to measure usage, productivity, and quality metrics Key requirements * Comprehensive Pension Plan * Generous vacation entitlement and sabbatical leave * Maternity, Paternity, Adoption, and Family Care Leave * Personal Choice budget * Internal communities and networks * Employee discounts