# Senior AI Engineer — Search & NLP at Clera

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement search algorithms,

- **Company:** Clera (https://jobs.trythestack.co/companies/clera)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, LLMs, RAG, Vector Embeddings, Elasticsearch, OpenSearch, PyTorch, TensorFlow, Docker, Kubernetes, NLP Pipelines, Search & Retrieval Systems, REST/gRPC, MLOps, Semantic Parsing
- **Posted by employer:** 2026-07-14
- **Added to The Stack:** 2026-07-15
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/Clera/dc912f13-9f28-4d4f-95fc-0e0869eaaf8c (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-ai-engineer-search-nlp-clera

## 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.

## FAQ

- **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.

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