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Software Engineer

External
spectris logoSpectris · Home Working, Poland
Full-timeHybrid1w ago
AgileCI/CDComplianceGitLinuxLLMs
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Benefits

Remote work optionsFlexible schedule

Additional Information

Software Engineer The position We are searching for a high-calibre Software Engineer to join our Durability Centre of Excellence, the role will be based in Poland working remotely with an international team based in India, Europe, UK and US. We are seeking a Software Engineer to scale AI platform capabilities within HBK. This role will be responsible for building the foundational infrastructure, frameworks, and integration patterns required to enable AI-driven features (e.g. agentic workflows, data-driven insights) and ensure these capabilities can be reused and scaled across multiple HBK products. Primary responsibilities In this role you will be working on: AI Platform Development Design and implement core AI platform capabilities, including: LLM integration and orchestration Prompt management and evaluation frameworks AI workflow / agent orchestration (e.g. agentic capabilities) Establish reusable patterns and services for AI feature development Software Product Enablement Deliver AI-driven capabilities within HBK software products (e.g. insights generation, automation, agent-based workflows) Enable scalable interaction with large data sets and engineering models Reduce time-to-market for AI features by providing shared infrastructure Common LLM Framework Define and build Common and Reuseable LLM Frameworks Ensure consistent approach to: Model integration (cloud/on-prem where relevant) Security, governance, and compliance Cost and performance management Integration & API Strategy Define standardised APIs and service interfaces for AI capabilities Integrate AI services with existing product architecture (desktop, cloud, hybrid) Support alignment with broader API-first strategy Productisation of AI Move AI capabilities from prototype → production Ensure reliability, scalability, and maintainability of AI features Implement monitoring, evaluation, and lifecycle management for models and workflows Professional qualifications and experience Excellent college or university degree (master's/diploma/doctorate) in Computer Science or equivalent, demonstrating excellent analytical and conceptual skills / mindset. Strong software engineering background (backend or full stack) in scalable systems Experience working with LLMs / AI frameworks and integrating them into applications Knowledge of distributed systems, APIs, and cloud-based architectures Experience designing reusable platform services or frameworks Understanding of data pipelines and large-scale data processing Experience with productisation of AI/ML solutions (monitoring, evaluation, cost control) Familiarity with engineering/scientific software or data-intensive domains advantageous Proficient with version control systems (e.g., Git) and modern development workflows. Experience with cross-platform development (Windows and Linux). Knowledge of CI/CD pipelines and automated testing. Experience working in SAFE, Agile, and / or Scrum teams. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Personal skills Highly flexible, accountable and takes ownership. A team player with the ability to work in matrix organisations. Support, actively promote and champion the HBK values.


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