• Design, develop, test, and maintain Java-based enterprise applications. • Develop and enhance RESTful APIs and backend services. • Support applications deployed in: - On-premises environments (Apache Tomcat servers) - AWS cloud environments (ECS, Lambda, EC2) • Work with AWS services including IAM, S3, CloudWatch, Kinesis Data Firehose, and Aurora. • Develop and maintain automated test scripts (unit, integration, regression) and contribute to QA automation frameworks. • Integrate automated tests into CI/CD pipelines to ensure high-quality releases. • Work with MongoDB, SQL databases, and Amazon Aurora for data management and optimization. • Participate in code reviews and follow established coding standards and best practices. • Troubleshoot and resolve production issues, including log analysis and root cause identification. • Work in Unix/Linux environments for application deployment, debugging, and support. • Use Gitlab for version control and collaborate using Jira and Confluence in an Agile development environment. • Support continuous improvement of development, testing, and deployment processes. • Design, develop and test software using technology stack such as Java/J2EE, Spring Boot framework, AWS S3, Golang. • Advocate for and adhere to industry-standard best software engineering practices. • Analyze existing software to determine areas for continuous improvement. • Work with team to plan and deliver solutions for business requirements, breakdown of requirements into tasks, resource, and duration estimation, etc. • Contribute to platform architecture decisions. • Create functional and technical documentation and diagrams as required.

• Define and own the technical principles of the XTM Integration team: architecture patterns, code quality standards, tooling choices, CI/CD practices, AI-assisted development workflows, and benchmarking approaches. • Ensure these principles are understood, embraced, and consistently applied across the team — through documentation, code review, pairing, and example. • Drive the evolution of the connector/integration framework shared across OpenCTI, OpenAEV, and OpenGRC — making it easier, faster, and more reliable to build high-quality integrations. • Make key technical decisions on integration architecture: data flow design, error handling, retry strategies, observability, performance, and security. • Stay ahead of the ecosystem — evaluate new tools, libraries, and patterns before the team needs them. • Be a technical steward of Filigran's open-source integration ecosystem — ensuring that the connector framework and all published integrations are exemplary references that external contributors can learn from and build upon. • Define and enforce contribution guidelines, code standards, and documentation practices that make it easy for community members to develop their own connectors. • Engage with the open-source community: review external contributions, provide technical guidance, and represent Filigran's engineering culture publicly. • Design integration APIs and SDKs with the external developer experience in mind — clarity, simplicity, and extensibility are first-class concerns. • Participate actively in the XTM Foundation as a full member — contributing to cross-product engineering principles, shared tooling decisions, and technical standards that apply across OpenCTI, OpenAEV, and OpenGRC. • Bring the integration team's perspective into Foundation discussions, and carry Foundation decisions back into the integration team. • Collaborate with other Principal and Staff Engineers to maintain coherence across the full XTM engineering organization. • Write production code — you lead by example, not from a distance. • Prototype and validate new approaches before rolling them out to the team. • Review critical PRs with depth and care; your feedback should teach, not just correct. • Contribute to performance benchmarking and observability tooling for the integration layer.

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Overview: We are seeking a highly analytical and detail-oriented Healthcare Prompt Engineer to design, evaluate, and optimize clinical prompt frameworks that power high-quality, specialty-appropriate AI-generated clinical documentation. This role bridges clinical workflows, LLM prompt engineering, and experimentation frameworks to ensure scalable, reliable, and release-ready prompt configurations across multiple specialties. Roles and Responsibilities: - Design and optimize clinical prompt templates to generate consistent, specialty-appropriate clinical documentation from transcripts. - Conduct structured prompt experiments (e.g., A/B testing, targeted worksets) to evaluate performance, identify failure modes, and implement systematic improvements. - Translate experimental findings into production-ready prompt configurations with measurable quality gains. - Operationalize prompt updates using Git and Azure DevOps (ADO): manage work items, track bugs, participate in pull request workflows, and maintain version-controlled prompt artifacts. - Develop and maintain Python/Linux research scripts to run batch evaluations, in-lab experiments, and data processing pipelines supporting prompt development. - Incorporate feedback from customers and cross-functional stakeholders into structured rollout plans spanning multiple clinical specialties. - Define monitoring strategies and evaluation criteria to ensure safe, accurate, and scalable deployment of prompt updates. Qualifications: - Proven experience developing and refining LLM prompts, including instruction design, templating, few-shot patterns, and iterative optimization, ideally in semi-structured clinical text generation environments. - Strong proficiency in Python and Linux for building experimentation scripts and evaluation pipelines. - Experience with version control systems (Git/GitHub) and engineering workflows, including Azure DevOps (ADO) for work tracking and release coordination. - Strong analytical and problem-solving skills, with the ability to define evaluation metrics, review outputs systematically, and prioritize fixes based on impact and risk. - Familiarity with clinical documentation workflows and healthcare data environments. - Excellent communication skills with demonstrated cross-functional collaboration ability. - Fluency in English and Dutch. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an AI Applications Specialist to design, build, and optimize AI-driven solutions that improve operational efficiency and scalability across BPO operations. This role focuses on identifying operational inefficiencies and transforming them into structured AI applications and workflow automations that reduce manual workload, improve quality consistency, and drive measurable business impact. - AI Application Development - Design and develop AI copilots and structured prompt frameworks - Configure AI-powered workflows and automation solutions - Improve AI output quality, classification logic, and operational usability - Process Mapping & Optimization - Map end-to-end operational workflows before automation - Identify inefficiencies, manual bottlenecks, and repetitive processes - Design improved workflows supported by AI and automation tools - Experimentation & Implementation - Conduct pilots and controlled experiments before full-scale rollout - Compare baseline vs post-automation performance metrics - Continuously refine prompts, AI models, and workflow automations - Performance & Impact Measurement - Establish operational baselines such as processing time, cost, and quality metrics - Track efficiency improvements, productivity gains, and quality outcomes - Measure ROI and operational impact of AI initiatives Qualifications - 3–5+ years of experience in operations, process improvement, workflow automation, digital transformation, or related operational roles - Experience analyzing workflows and implementing process improvements that improve efficiency, quality, or scalability - Exposure to AI tools, copilots, or automation platforms used in operational environments - Experience in BPO, shared services, or service delivery operations is highly preferred Requirements - Strong understanding of AI tools and prompt engineering for operational use cases - Experience in workflow automation, process design, and operational optimization - Ability to conduct process mapping and identify operational inefficiencies - Strong analytical skills with the ability to measure baseline performance and operational improvements - Experience running pilots, experiments, or proof-of-concept initiatives to test new solutions Benefits - Hybrid working arrangements - Competitive base salary - Generous paid time off - Comprehensive benefits package including medical, dental, and vision options - Access to free posture-based fitness workouts from home - Training and professional development opportunities - Be part of a people-first, values-driven organization - Work with innovative global partners and diverse teams