AI Engineer at DL Remote
May no longer be active — verify on the employer site
At a glance
- Company
- DL Remote
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this DL Remote job
- 🏢 DL Remote has 26 jobs here, 26 with visa sponsorship see all
- 📊 9 AI Engineer jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Own end-to-end design, implementation and deployment of agentic AI systems (retrieval, orchestration, tool-using agents).
- Build scalable retrieval pipelines and data architectures to ingest and structure large volumes of unstructured data.
- Implement robust model serving, monitoring and observability for production LLMs and agents.
- Create automated evaluation and benchmarking pipelines with continuous feedback loops to iterate on model quality.
- Integrate AI capabilities into user-facing products, ensuring reliability and seamless UX.
- Drive fast prototyping and iterative development in an agile, high-intensity startup environment.
Requirements:
- Proven record of shipping complex LLM-driven systems and agentic workflows in production.
- Expert, hands-on Python skills and experience building backend services for ML/LLM workloads.
- Deep knowledge of retrieval systems, data architecture for unstructured data, and LLM orchestration.
- Experience with automated benchmarking, evaluation frameworks, and production monitoring/observability.
- Strong sense of ownership, product intuition and ability to drive projects from prototype to production.
- Comfortable working on-site in Munich; prior full-stack exposure (React/TypeScript/FastAPI) is a plus.
Responsibilities
You will take full ownership of building and scaling agentic AI systems, including retrieval pipelines and LLM orchestration. Additionally, you will design automated evaluation frameworks and ensure seamless integration of AI functionalities into production products.
Requirements
Candidates must have a proven track record of deploying complex LLM-driven systems in production environments. Expert-level proficiency in Python and experience with data architectures for unstructured information are mandatory.
Key skills
- Python — in 1173 other listings on The Stack
- LLM orchestration — in 8 other listings on The Stack
- Retrieval pipelines — in 1 other listing on The Stack
- Agentic AI systems — in 9 other listings on The Stack
- Data architecture — in 38 other listings on The Stack
- Automated benchmarking — in 1 other listing on The Stack
- Model serving — in 9 other listings on The Stack
- Observability — in 300 other listings on The Stack
- React
- TypeScript
- FastAPI
- Production deployment
- Agile development
- System architecture
On The Stack (as of 2026-11-03)
Frequently asked questions about DL Remote
Is this AI Engineer role still open?
It was posted on 2026-09-16. Listings more than 30 days old may no longer be active, so check DL Remote's site before applying.
Does DL Remote offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on DL Remote's site.
Where is this role located?
The listing gives the location as United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: Python, LLM orchestration, Retrieval pipelines, Agentic AI systems, Data architecture, Automated benchmarking, Model serving, Observability, React, TypeScript, FastAPI, Production deployment, Agile development, System architecture.