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Day 213
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From 51 similar postings that came down. Coming down is not always a hire.
Bremen, Germany
Open 7 months, first seen by us 213 days agoPlease send your resume in English only. Interns are NOT eligible for equipment and other benefits as the position is temporary. The RealityRead the full posting
Job title: ML Research Intern in Agentic Runtime Systems
Build verification layers that make agents detect and self-correct hallucinations
Enforce agent constraints via constrained decoding or external execution
Optimise KV-cache hit rates and design restorable compression strategies
Architect agent loops that survive error accumulation
You will build verification layers that force the agent to recognize its own hallucinations and self-correct.
the harness enforces them via constrained decoding or external execution
You will optimise KV-cache hit rates and design "restorable compression" strategies to prevent attention decay.
Architecting loops that survive error accumulation.
You are comfortable working with the raw output of the model and building robust software in Python or Rust around it.
You are interested in the "boring" engineering: state machines, retries, idempotency, serialisation
You are willing to read a 500-line trace of a failed agent loop to find the exact moment the context drifted.
From the employer’s posting.
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
In the employer’s words · Read in context
Open 7 monthsWe first saw this posting 213 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 213
Up longer than most. Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
3 open jobs
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.
- You know that a demo is not a product. You are interested in the "boring" engineering: state machines, retries, idempotency, serialisation — that actually makes agents work. - You are comfortable working with the raw output of the model and building robust software in Python or Rust around it. - You understand why dynamic tool loading destroys inference economics. You prefer deterministic guardrails over "prompting it to be nicer."
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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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.
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Interns are NOT eligible for equipment and other benefits as the position is temporary.
The Reality
The frontier models are converging into commodities; the engine is no longer the differentiator. The scarcity in 2026 is not the model.
We are not looking for people to fine-tune Llama on toy datasets or write "better prompts." We are building the runtime systems that turn probabilistic token generation into reliable workers that finish 50-step tasks without spiraling. We are solving the math of multi-step reliability through engineering, not wishful thinking.
What You Will Solve
You will work on the Agentic Harness, treating the LLM as a component within a larger, deterministic control system. Your research will focus on:
Who We Are Looking For
We are looking for systems thinkers who happen to know ML, not the other way around.
Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bremen, Germany
- Type of internship: - 100% remote - or hybrid in the office in Bremen (GER), Sofia (BG), Belgrade (SRB), Istanbul (TR), Sakarya (TR), Singapore (SGD) What We Offer
- 🌴 Paid leave - 🧑💻 Remote work in locations without our offices - Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
No clear work-authorization passage found. Eligibility is unconfirmed.