akirolabs

Senior AI Engineer

akirolabs

full-time

Posted on:

Location Type: Remote

Location: Germany

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonReact

About the role

  • 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

Requirements

  • 5+ years of experience in Data Science, Computer Science, or a related field
  • Bachelor+ degree in Computer Science, Information Technology, or a related field
  • 3+ years in NLP is a must
  • Main direction is agents and agentic orchestration
  • Having published scholarly papers is a big plus
Benefits
  • 30 days of vacation
  • Remote-first – work where you work best, whether from home or in a hybrid mode from our office in a great location in Berlin
  • Working in an international team and context, official language is English
  • Business trips within Europe might be expected on demand (3-4 per year)
  • Team building company events, social activities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonFast APIREST APIsAI feature designAI infrastructureDockerKubernetesNLPRAGMulti-Agent Systems
Soft Skills
cross-team collaborationcommunicationleadershipcritical evaluationdocumentationresearchproblem-solvingstakeholder engagementtrainingorganizational skills
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information Technology