Principal/Senior/Mid AI/ML Engineer, Aily Labs
2 days a week in office
Decision intelligence app
Be an early applicant
Decision intelligence app
201-500 employees
Be an early applicant
2 days a week in office
201-500 employees
Company mission
To transform ways of working by empowering businesses with meaningful AI.
Role
Who you are
- Mid AI/ML Engineer - 3+ years of experience
- Senior AI/ML Engineer - 4+ years of experience
- Principal AI/ML Engineer - 6+ years of experience
- You are impact-driven and thrive at the intersection of AI, business, ML engineering, and product. You want to build real systems that power decision-making at scale
- A builder: you enjoy shipping reliable solutions, improving systems and tooling, and making things work in production at scale
- A strong collaborator who enjoys working with Data Scientists, Product Managers, and Engineers, and can explain trade-offs and designs in simple terms
- Someone with a startup mindset: comfortable with ambiguity, proactive, hands-on, and willing to improve things beyond your immediate scope
- Ready to Lead Boldly - helping Aily and its customers scale AI systems that enable faster, smarter decisions every day
What the job involves
- We are looking for AI/ML Engineers who are passionate about the power of AI and love building robust AI/ML systems: people who turn models into reliable, scalable products, and ensure our AI solutions are production-ready, efficient and impactful
- Your job is to build and scale the AI/ML infrastructure and pipelines that power Aily’s decision intelligence platform
- Mid AI/ML Engineer
- Partner with Data Scientists and Engineers to bring AI solutions to production
- Design and implement end-to-end ML pipelines (data→model→deployment→monitoring) autonomously
- Contribute to APIs, tools, and libraries used by more than 100 AI team members daily (including Cloud & LLM Infrastructure and AI-driven features)
- Communicate with your team: present results and findings, identify gaps and opportunities, and learn to explain our product and software/AI behind
- Requirements: Solid AI/ML fundamentals, strong Python, APIs/K8s/Docker/Cloud experience, mentor junior team members on technical topics
- Senior AI/ML Engineer
- All of the above +
- Own complex projects, lead technical initiatives from design to implementation (refactoring, standardization)
- Ensure the quality of your own and your teams' developments
- Interact with other functions and agree on exchange protocols and architecture design (DevOps, Front End, Data Engineering, Back End, …)
- Sponsor the creation and implementation of new software and ML standards in the AI team
- Requirements: Strong software engineering practices, Deep AI/ML knowledge, outstanding problem-solving skills, ability and willingness to lead and mentor Junior team members
- Principal AI/ML Engineer
- Shape AI Platform strategy across teams and be a technical reference for Aily’s AI team
- Lead cross-team design sessions, define, enforce, and maintain org-wide standards
- "Make things happen" at scale, manage leadership pressure
- Lead a team of 4+ AI/ML Engineers and own their roadmap
- Requirements: Driven by impact and value, able to lead multiple technical initiatives in parallel, mastery in the modern AI/ML stack (AWS, FastAPI, Docker, K8s, Python, CI/CD, Airflow, Agentic coding, concurrency, etc)
Our take
Data-led processes are becoming a differentiator for businesses across sectors. The ability to make smarter decisions faster is a great competitive edge and one that has been supercharged by the wider adoption of artificial intelligence. Supporting businesses to act smarter, Aily Labs supplies a decision intelligence app powered by generative AI.
The platform empowers users to increase both productivity and performance through deeper, smarter and faster decision-making. What makes Aily stand out from other offerings is that it does not build costly LLMs from scratch, instead using other machine-learning approaches to power many of its features.
With the ability to support revenue maximisation across all parts of a business, Aily's value is clear. It's no surprise then that the company has raised substantial funding. It plans to invest this in global expansion and to bolster its genAI teams, accelerating use cases and introducing the ability to generate “competitive intelligence” on rival companies from external sources.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Nov 2025
$80m
SERIES B
Aug 2023
$20.9m
SERIES A
Total funding: $100.9m
Company benefits
- Global company and culture
- Hybrid working model
- Fast growth path
Company HQ
Old Town, Munich, Germany
Leadership
Bianca Diana Anghelina
(Co-Founder)Previously the Head of Global Digital Finance at Novartis, Head of Global Business Planning and Analysis at Sandoz and Senior Consultant at BMW.
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