akirolabs

• Support the implementation and improvement of security controls across our cloud and SaaS environment • Help identify, assess, and track security risks, vulnerabilities, and remediation actions • Contribute to application, infrastructure, and cloud security reviews • Assist with security testing activities such as vulnerability validation, configuration reviews, and basic threat analysis • Help maintain security documentation, standards, and internal procedures • Support compliance and audit-related activities by gathering evidence and helping track security requirements • Partner with cross-functional teams to raise security awareness and encourage security-by-design thinking • Continuously learn, improve, and contribute ideas to strengthen the overall security program

• AI feature design & integration into product flows • Own AI feature requirements jointly with Product • Translate procurement logic into structured prompts, schemas, etc • Work closely with other engineering teams • AI infrastructure & orchestration (proxy, lambdas, streaming) • Be able to follow existing architecture and design correct approaches for our current system • Work comfortably with Python services, Fast API, REST APIs, streaming, and deployment constraints • Collaborate on infra topics without being pure MLOps • AI quality, evaluation & alignment with business logic (refinement, support, bug fixes, continuous improvements) • Design and run evaluation pipelines for AI features, including continuous monitoring and quality upgrades • Implement custom, business‑logic‑driven checks for LLM outputs • Perform RAG / LLM evaluation (accuracy, consistency, hallucination controls) • Write and maintain validation logic and guardrail code, not only “prompt tweaks” • AI governance & EU AI Act compliance • Work comfortably under EU AI Act constraints and internal governance • Document model usage, data flows, and risks for each AI feature • Define guardrails together with Product/Security teams • Participate in training, documentation, and audits – owning building models and safe/secure AI operations • Observability, monitoring & production robustness of AI features • Read and interpret logs/metrics for AI components • Specify and interpret monitoring for AI flows (latency, error rates, drift signals, usage patterns) • Understand versioning and backwards compatibility of AI outputs and contracts with other services • Cross‑team collaboration & stakeholder work • Communicate clearly with Product, Engineering, Security, and Business teams • Translate DS/ML decisions into clear Jira tickets and Confluence docs • Walk customers/CS through AI issues, limitations, and upcoming improvements when needed • Lead or co‑lead refinements, design reviews, and post‑mortems for AI features • Research & exploration (models, methods, vendors) • Research and deliver focused PoCs/MVPs based on product/tech roadmap • Stay up‑to‑date with LLM / RAG / evaluation research (papers, blogs, open‑source) and translate relevant ideas into shippable solutions • Justify why a specific model / architecture / vendor is chosen for our procurement use cases • Maintain a research backlog, prioritise by product impact and feasibility, and document decisions/learnings • Multi‑agent systems & advanced reasoning (agentic frameworks and tooling): Multi‑Agent Systems & Advanced Reasoning – Hands‑on experience with agentic frameworks (e.g., LangGraph, CrewAI, AutoGen) and advanced reasoning techniques (Chain‑of‑Thought, ReAct, Plan‑and‑Execute) to structure complex AI workflows • Integration & Tool Management – Ability to define safe APIs, connect agents to external systems, and implement memory/state management (short‑term and vector‑based) along with RAG pipelines • Programming & Infrastructure Expertise – Expert Python skills and deployment experience using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure) with monitoring via tools • Evaluation, Safety & Ethics – Designing benchmarks to measure agent performance, ensuring reliability and cost‑efficiency, while implementing guardrails to prevent prompt injection and maintain ethical, legal compliance • Strategic & Soft Skills – Translating business goals into agent workflows, critically evaluating AI outputs for errors or bias, and communicating complex AI reasoning effectively to stakeholders

• Develop and implement ideas for new content pieces (blogs, industry reports, webinars, whitepapers, ebooks) with the team. • Write, update, and manage content regularly for digital communication channels, including social media, websites, and newsletters. • Support the search engine optimization of our website content. • Develop marketing assets, LinkedIn ad creatives/posts, and videos while ensuring consistent messaging and visual identity across all marketing materials. • Engage in marketing research to stay updated on market developments and trends and proactively propose new initiatives and processes to improve marketing activities. • Provide general support (research, translations DE/EN, writing and correcting texts, etc.)

• Responsible for converting qualified leads into long-term customers • Re-qualify identified opportunities with prospects • Effectively communicate the value proposition of our procurement software to potential customers • Maintain and update records of all interactions and prospects in our CRM system • Work closely with internal stakeholders to align strategies and develop effective sales processes