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Day 7
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From 51 similar postings that came down. Coming down is not always a hire.
AI & Data Engineer
Reads like an AI Engineer role: building products on existing AI models.
Czechia; Poland; Prague
Live, first seen by us 7 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Contractor
From the employer’s posting
What you’ll work on
Full postingFind AI opportunities in business teams and turn them into scoped projects
Build and run apps and automations with AI coding tools in production
Build pipelines from business systems into Snowflake and model data in dbt
Build LLM features such as RAG, agents and assistants, with evals and monitoring
Run AI enablement: share tools and templates, run sessions, help colleagues
From the employer’s posting
Find AI opportunities in business teams and turn them into scoped projects
Build and ship apps and automations with AI coding tools, and run them in production
Build pipelines from business systems into Snowflake and model clean, tested data layers in dbt
Build LLM features on that data: RAG, agents, assistants, with evals and monitoring
Drive AI enablement: share tools and templates, run sessions, help colleagues work AI-first
What you’ll bring
All qualificationsCore experience
- 3+ years of hands-on engineering in data, software or AI
- Deployed apps built with AI coding tools to production, hosted and monitored
- Built a data pipeline and data model others relied on
- Strong Python and SQL
- Hands-on with an analytical warehouse (Snowflake or similar) and an orchestrator (Airflow or similar)
Qualification wording
3+ years of hands-on engineering in data, software or AI
You have deployed apps built this way to production: hosted, secured, monitored and used by real people, not only demos.
You have built at least one data pipeline and data model that other people relied on
Strong Python and SQL
Hands-on experience with an analytical warehouse (Snowflake or similar) and an orchestrator (Airflow or similar)
About ShipMonk
We provide cutting-edge technology and a network of owned and operated fulfillment centers that empower high-growth ecommerce and DTC brands to stress less and grow more.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 6, 20267 days ago
- Recorded sightings
- 8
- Last seen by us
- Nov 13, 2026
- Reposted
- once since Jun 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
ShipMonk is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 100% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- TypeScript
- dbt
- Snowflake
- Airflow
Where the posting names them
- You have built at least one data pipeline and data model that other people relied on, for reporting, an app or a product. - Strong Python and SQL - Hands-on experience with an analytical warehouse (Snowflake or similar) and an orchestrator (Airflow or similar)
- Pydantic AI, Langfuse or similar AI tooling - TypeScript for simple front ends - n8n, Zapier or MCP integrations
- Build and ship apps and automations with AI coding tools, and run them in production - Build pipelines from business systems into Snowflake and model clean, tested data layers in dbt - Build LLM features on that data: RAG, agents, assistants, with evals and monitoring
Nice To Have - dbt in production - Pydantic AI, Langfuse or similar AI tooling
- Strong Python and SQL - Hands-on experience with an analytical warehouse (Snowflake or similar) and an orchestrator (Airflow or similar) - You explain technical trade-offs clearly to non-technical colleagues
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
ShipMonk isn't just a 3PL — we're the tech-powered growth partner for ecommerce brands, running 12+ owned fulfillment centers across the US, Canada, the UK, and Europe so our merchants can stress less and grow more.
We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague.
AI-first builder, grounded in solid data.
ShipMonk runs ecommerce fulfillment for 1,500+ brands from 12+ fulfillment centers, up to 100,000 orders a day in peak season. The platform is built in Prague.
We are starting an AI domain inside our Data team, and we want an engineer who builds AI-first and knows that good AI needs good data.
You will look across HR, Sales, Marketing and Operations for places where AI can save time or money. Then you build the solution end to end: the data, the AI logic and the app people use. You will also help colleagues get more out of AI themselves.
What You'll Do
- Find AI opportunities in business teams and turn them into scoped projects
- Build and ship apps and automations with AI coding tools, and run them in production
- Build pipelines from business systems into Snowflake and model clean, tested data layers in dbt
- Build LLM features on that data: RAG, agents, assistants, with evals and monitoring
- Drive AI enablement: share tools and templates, run sessions, help colleagues work AI-first
- Experiment with new AI tools and keep what works
What You’ll Bring
- You work AI-first. Tools such as Claude Code or Cursor are part of how you build every day.
- You have deployed apps built this way to production: hosted, secured, monitored and used by real people, not only demos.
- You have built at least one data pipeline and data model that other people relied on, for reporting, an app or a product.
- Strong Python and SQL
- Hands-on experience with an analytical warehouse (Snowflake or similar) and an orchestrator (Airflow or similar)
- You explain technical trade-offs clearly to non-technical colleagues
- 3+ years of hands-on engineering in data, software or AI
Nice To Have
- dbt in production
- Pydantic AI, Langfuse or similar AI tooling
- TypeScript for simple front ends
- n8n, Zapier or MCP integrations
Why Join?
- Build a new AI domain from the ground up, with visible impact in the first months
- Short path to leadership and few management layers
- Real data at scale: 2,500+ people in five countries
- Time to experiment with new AI tools
- Karlín office, small senior team
About ShipMonk
ShipMonk isn't just a 3PL; we're a growth partner for merchants. We provide cutting-edge technology and a network of owned and operated fulfillment centers that empower high-growth ecommerce and DTC brands to stress less and grow more. With over 2,500 employees across five countries, we're on a mission to revolutionize fulfillment by providing everything from the fastest click-to-delivery and real-time inventory to custom solutions—all with a merchant-first mindset.
Why ShipMonk?
We believe in building for the long term, and our success is powered by five key differentiators that help us become true partners to our merchants.
- Global Fulfillment Network: Our 12+ owned and operated fulfillment centers span the US, Canada, the U.K., and Mainland Europe. We never outsource, ensuring quality and consistency.
● Proprietary Technology: We've eliminated the need for tribal knowledge with our AI-powered platform. It provides a real-time, unified view of inventory and orders, giving our merchants the control and visibility they need to succeed.
● Unrivaled Support: We provide hands-on, "mom and pop" support with a global reach. Our dedicated teams are on-site at every fulfillment center, ready to jump into action.
● Transparent Pricing: We believe in honest, long-term partnerships. Our all- inclusive pricing means predictable costs, with no hidden fees or surprises.
● Committed to the Future: We invest over $10 million annually in research and development to ensure our technology and services continually evolve, helping merchants plant roots with a partner who is here to stay.
Our Core Values
Our values are the heart of our culture. We're looking for individuals who embody these principles every day.
- Merchant-first: We handle the logistics so our merchants can focus on what they do best—growing their business.
- People make ShipMonk: We believe in our team and invest in our people.
- Own it: We take ownership of our work, our mistakes, and our successes.
- Get sh*t done: We're a fast-paced, high-growth company that values action and results.
- Change the score: We challenge the status quo, constantly innovating and improving.
ShipMonk is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Czechia; Poland; Prague
We believe in building for the long term, and our success is powered by five key differentiators that help us become true partners to our merchants. - Global Fulfillment Network: Our 12+ owned and operated fulfillment centers span the US, Canada, the U.K., and Mainland Europe. We never outsource, ensuring quality and consistency. ● Proprietary Technology: We've eliminated the need for tribal knowledge with our AI-powered platform. It provides a real-time, unified view of inventory and orders, giving our merchants the control and visibility they need to succeed. ● Unrivaled Support: We provide hands-on, "mom and pop" support with a global reach. Our dedicated teams are on-site at every fulfillment center, ready to jump into action. ● Transparent Pricing: We believe in honest, long-term partnerships. Our all- inclusive pricing means predictable costs, with no hidden fees or surprises. ● Committed to the Future: We invest over $10 million annually in research and development to ensure our technology and services continually evolve, helping merchants plant roots with a partner who is here to stay. Our Core Values
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.