Applying for Applied AI Engineer, Digital Natives at OpenAI? Bypass the ATS Black Hole.
Traditional job applications often get trapped in algorithmic filters. With HireMail, uncover verified hiring managers and founders at OpenAI, generate tailored AI outreach hooks, record personalized video pitches, and dispatch directly through your authenticated Gmail.
Decision-Maker Intel
Recruiters & founders
Video & Voice Pitch
Interactive player embed
AI Live ATS Scraper
Fresh, unposted roles
Applied AI Engineer, Digital Natives
Location
Munich, Bavaria, Germany
Work type
Hybrid
Employment
Full Time
Experience
5-8 years
Compensation
Compensation not disclosed
Posted
4h ago
Summary and responsibilities
Role overview
Summary
As an Applied AI Engineer at OpenAI, you will partner with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. This role involves deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from prototyping to production launch and scale.
OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works.
As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale.
You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations.
In this role, you will:
Partner directly with enterprise and digital native customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.
You might thrive in this role if you:
Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
Can point to substantial personal contributions in code, architecture, evaluation, debugging, or engineering of production systems.
Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.
Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.
Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives.
Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
Learn quickly, challenge assumptions constructively, and collaborate with humility.
Updated 4h ago
Candidate fit
Skills and qualifications
Additional skills
Experience
5-8 years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Benefits and perks
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
OpenAI
Team size
Growing team
Location
Munich, Bavaria, Germany
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
Popular Domains
Explore opportunities across specialized functional areas.
Trending Industries
Discover roles in the world's most innovative sectors.
Applied AI Engineer, Digital Natives
Munich, Bavaria, Germany • Full Time