Applied AI Engineer

Job not on LinkedIn

🔥 1 minute ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Automation Intelligence

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Automation Intelligence is a B2B technology and consulting firm that optimizes industrial automation systems using digital twin modeling and decision science. The company builds physics-enabled virtual models for manufacturing and warehouse logistics to enable virtual commissioning, rapid prototyping, and operator training, and it deploys AI-driven decision science tools and dashboards to continuously optimize people, equipment, and operations in real time to reduce downtime and improve throughput.

📋 Description

• Responsibility for the architecture of agentic systems and building the agent harness with orchestration, tool interfaces, sandboxing, permission model, state and memory management, subagents, and execution/tracing • Development of loop engineering and context management including abort-and-handover logic, budgets, context compression, and cross-session memory • Development of scalable services in Python and TypeScript with APIs, asynchronous processing, queues, backpressure, rate limits, idempotence, and tenant isolation • Building the data and retrieval layer from ingestion and normalization to vector and full-text indexes • Measuring and improving retrieval quality • Conducting evaluations on trajectories, regression testing for prompts and tools, and implementing guardrails • Operating the systems with containerization, CI/CD and monitoring, as well as controlling latency and model costs • Working with coding agents, evaluating models and frameworks, and co-deciding on the technology stack and on-premise deployment • Collaborating in a small team directly with the Head of AI

🎯 Requirements

• Several years of backend or platform engineering experience • Proven experience running agentic systems in production, not just proofs of concept • Experience with tool-calling, tool design, MCP, planning and reflection patterns, and multi-agent setups with subagents • Experience designing execution loops, context compression, and cross-session state management • Clean, testable Python and TypeScript code • Experience in API development with FastAPI or Node • Daily work with coding agents • Experience with systems under load, concurrency, queues, rate limits and distributed state • Experience with Docker, CI/CD and deployments on AWS, Azure, GCP or on-premises servers • Kubernetes and local GPU environments are a plus • Experience with ETL and ELT pipelines, vector databases, evaluations, tracing and observability • Awareness of latency and token cost considerations • Ability to design GDPR-compliant architectures, including tenant isolation, secrets handling, rights for agent tools, and cloud/on-premise delineation • Excellent German skills at C2 level • Fluent English skills

🏖️ Benefits

• Significant scope for influence and flat hierarchies • Tailored training and conference attendance • Flexible working hours • 100% remote work within Germany • Workations • Sabbaticals • Full-time or part-time models • Exchange with experienced specialists in the expert network • Regular team events, company parties and group activities • JobRad (company bike program) • Modern office equipment • Free drinks and snacks • Shared lunch breaks • Support for mental and physical health via the WorkLifePortal • Company pension plan with employer contribution