Senior AI Engineer — Search & NLP at Clera

May no longer be active — verify on the employer site

At a glance

Company
Clera
Location
Germany
Work arrangement
On-site
Employment type
Full-time
Experience
2–5 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this Clera job

  • 🏢 Clera has 107 jobs here, 107 with visa sponsorship see all
  • 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
  • 💡 No salary shown. Ask Clera if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design and implement search algorithms, retrieval pipelines, and NLP workflows to process ERP data, product catalogs, and customer interactions.
- Build and optimize recommendation, retrieval-augmented generation (RAG), and reranking systems for product matching and intelligent query handling.
- Deploy, monitor, and maintain ML models and APIs (REST/gRPC) in production using Docker/Kubernetes; implement feedback and fine-tuning loops.
- Collaborate with product and data teams to define measurable impact and ship customer-facing features.
- Contribute to AI platform architecture and best practices for scalable NLP services.

Requirements:
- 3+ years software engineering experience with production-grade Python and SQL skills.
- Hands-on experience building LLM-based systems: RAG, vector embeddings, hybrid BM25+semantic search, and reranking.
- Proficiency with deep learning frameworks (PyTorch or TensorFlow) and experience deploying ML services at scale.
- Experience with search engines (Elasticsearch/OpenSearch) and vector stores (Qdrant, Weaviate, pgvector).
- Familiarity with cloud deployment, monitoring, training/fine-tuning pipelines, and MLOps practices.
- Nice-to-have: document processing/OCR pipelines, Text-to-SQL/semantic parsing, and domain experience with B2B SaaS or ERP systems.

Responsibilities

Design and implement search algorithms and NLP pipelines to process ERP data and product catalogs. Own the end-to-end ML lifecycle, including deployment, monitoring, and fine-tuning of AI models to drive sales automation.

Requirements

Requires 3+ years of software engineering experience with proficiency in Python, SQL, and deep learning frameworks. Must have hands-on experience building RAG systems and scalable NLP APIs using vector search and microservices.

Key skills

  • Python — in 1200 other listings on The Stack
  • SQL — in 545 other listings on The Stack
  • LLMs — in 80 other listings on The Stack
  • RAG — in 41 other listings on The Stack
  • Vector Embeddings — not in any other listing on The Stack
  • Elasticsearch — in 48 other listings on The Stack
  • OpenSearch — in 25 other listings on The Stack
  • PyTorch — in 92 other listings on The Stack
  • TensorFlow
  • Docker
  • Kubernetes
  • NLP Pipelines
  • Search & Retrieval Systems
  • REST/gRPC
  • MLOps
  • Semantic Parsing

On The Stack (as of 2026-11-05)

Frequently asked questions about Clera

Is this Senior AI Engineer — Search & NLP role still open?

It was posted on 2026-07-14. Listings more than 30 days old may no longer be active, so check Clera's site before applying.

Does Clera offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Clera's site.

Where is this role located?

The listing gives the location as Germany. It is marked on-site.

What skills does this role ask for?

The listing names: Python, SQL, LLMs, RAG, Vector Embeddings, Elasticsearch, OpenSearch, PyTorch, TensorFlow, Docker, Kubernetes, NLP Pipelines, Search & Retrieval Systems, REST/gRPC, MLOps, Semantic Parsing.

All roles at Clera

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