Website:
aris.com
Job details:
ARIS is a Process Intelligence company that helps organizations discover, create, and transform their processes to deliver measurable business outcomes and scale AI with confidence.
It combines process design, real execution insight, and AI-driven optimization in a single, integrated platform-enabling organizations to build a governed digital twin of their operations, understand how work actually happens, and continuously deliver value across the enterprise.
By providing the process foundation, visibility, and governance required for AI adoption, ARIS enables businesses to deploy and scale Agentic AI safely and effectively, ensuring agents operate on trusted processes, data, and controls.
With over 30 years of expertise and recognition from leading analysts such as Gartner and Forrester, ARIS is trusted by global enterprises to turn process intelligence into real business impact.
For more information, visit www.ARIS.com and follow ARIS on LinkedIn.
Be you, join us.
We are hiring a highly skilled Technical Lead to join a fast-paced, AI incubation initiative focused on building next-generation intelligent systems and agentic AI capabilities.
This is a high-impact opportunity for someone who enjoys operating at the intersection of software engineering, architecture, and applied AI. The role requires a hands-on technical leader who can drive system design, mentor engineers, and actively contribute to the development of scalable AI-powered products under ambitious timelines.
What You’ll Be Doing
- Lead the architecture and technical direction of a strategic AI-driven product initiative
- Design and build scalable backend services and distributed systems using Java/Spring technologies
- Collaborate closely with product, engineering, and leadership stakeholders to translate business problems into AI-enabled solutions
- Drive the development of agentic AI workflows, including planning, orchestration, execution loops, and evaluation mechanisms
- Work hands-on across both backend and frontend systems where required
- Evaluate and integrate LLMs based on use case suitability, performance, latency, and cost considerations
- Implement prompt engineering strategies and optimize model parameters such as temperature, top-p, and context handling
- Build reliable and cost-efficient LLM-powered applications with strong attention to token optimization and scalability
- Contribute to AI system evaluation frameworks including usefulness, groundedness, consistency, and accuracy assessments
- Guide engineering best practices, technical decision-making, and mentoring within the team
- Operate effectively in a high-ownership, fast-moving environment with aggressive delivery timelines
What We’re Looking For
- 7+ years of software engineering experience with strong exposure to system design and architecture
- Proven experience leading or owning technical delivery for complex applications or platforms
- Strong hands-on experience with Java and Spring/Spring Boot ecosystems
- Full-stack engineering exposure with the ability to contribute across frontend and backend when needed
- Practical experience working on AI/LLM-based projects over the last 2+ years
- Strong understanding of modern LLM ecosystems including models from OpenAI, Anthropic, and similar providers
- Experience with prompt engineering and tuning model behavior for production use cases
- Familiarity with agentic AI concepts such as task decomposition, execution workflows, planning systems, feedback loops, and LLM-as-judge patterns
- Understanding of context window management, token efficiency, and cost optimization strategies
- Strong communication skills with the ability to work directly with senior leadership and cross-functional stakeholders
- Comfortable working in a fast-paced, high-visibility environment
Nice to Have
- Experience with Spring AI
- Exposure to RAG architectures and vector databases/retrieval systems
- Experience building AI copilots, autonomous workflows, or internal AI productivity tools
- Prior startup or incubation environment experience
Why Join
- Opportunity to work on a strategic AI initiative with strong executive sponsorship
- High ownership and influence on technical direction and product evolution
- Work alongside senior engineering and leadership stakeholders on cutting-edge AI systems
- Build real-world AI applications with meaningful business impact
At SAG Aris GmbH we are committed to providing an environment of mutual respect and fairness where equal employment opportunities are available to all applicants and employees without regard to race, colour, religion, gender, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, and any other characteristic protected by applicable law.
We believe that diversity, equity, and inclusion is critical to our success as a global company, and we seek to recruit, compensate, develop, promote, and retain the most talented people from a diverse candidate pool.
To all recruitment agencies: SAG Aris GmbH does not entertain unsolicited CVs without prior approval from SAG Aris GmbH's Talent Acquisition Team. Kindly refrain from sending CVs to our job’s alias, SAG Aris GmbH employees, or any other organizational location without explicit consent. SAG Aris GmbH assumes no responsibility for any fees associated with unsolicited CVs.
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