AI Solution Engineer (EMEA Remote)

Posted 11 Days Ago
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Hiring Remotely in Greece
Remote
Mid level
Marketing Tech • Software
The Role
As an AI Solution Engineer, you will design and implement AI-powered solutions, develop natural language interfaces, and collaborate on cryptographic data contextualization.
Summary Generated by Built In
About CENSUS

CENSUS LABS is a cyber-security engineering powerhouse specializing in securing products and organizations. Our identity is entrenched with professionalism, engineering, scientific mindset and hacking demeanor. Our work is research-driven, enabling us to offer a diverse set of professional services. CENSUS LABS is trusted to conduct product security engagements, helping our clients secure their solutions from conception to release through a realistic, risk-based approach. We bring extensive experience with end-to-end systems, including secure communications, IoT, medical, mobile, and vehicle computing products.

Learn more about CENSUS LABS at https://census-labs.com.

About the Job & Key Responsibilities

We are looking for talented and ambitious professionals to join our Product Security Professional Services Team and support our mission to deliver top-tier cybersecurity services and product solutions.

As part of a cross-functional team, you will contribute to the integration of AI-enabled features such as developing natural language interfaces over structured databases, integrating semantic search, and building agentic pipelines that enhance cryptographic analysis. Our products operate across the spectrum of data engineering, applied AI, and cybersecurity, addressing complex challenges such as large-scale security processing and offering contextual intelligence to our customers.

Your day-to-day duties will include:

  • Designing and implementing AI-powered solutions able to query and modify large-scale databases by doing real-time annotations on them.
  • Develop and deploy natural language interfaces over structured data (SQL, Spark, MongoDB).
  • Integrate semantic search and Retrieval-Augmented Generation (RAG) pipelines.
  • Build and maintain agentic workflows able to generate code that can be run against live databases and able to retrieve information from the Internet.
  • Optimize and scale AI components for air-gapped, provider-agnostic environments.
  • Contribute to model evaluation, prompt engineering, and fine-tuning efforts.
  • Write robust unit tests and mocks to ensure reliability, reproducibility and maintainability.
  • Collaborate with cybersecurity experts to contextualize cryptographic data using enterprise documentation.
Tech Stack & Tools
  • Languages & Frameworks: Python, SQL/NoSQL, Streamlit, FastAPI (or another equivalent python web framework)
  • AI/ML Libraries: Transformers, LangChain, LangSmith, LangGraph, HuggingFace, SentenceTransformers, PyTorch (or Tensorflow), Spacy, NumPy, scikit-learn, DeepEval, bitsandbytes
  • Data & Querying: Pandas, SQLAlchemy, sqlparse, Spark SQL, MongoDB, FAISS, SQLGlot, vector databases
  • Visualization: Altair, Matplotlib, Seaborn, Superset
  • DevOps: Docker, Kubernetes
  • Cloud: AWS (preferred), Azure, GCP
  • Testing: Experience in unit and regression testing
  • Models & Agents: Large Language Models, Tabular Models, Vision Language Models
Minimum Qualifications
  • MSc or BSc in Computer Science, Information Security, AI/ML, Computer Engineering, Data Science or equivalent practical experience.
  • Minimum 3 years of experience in AI/ML engineering or applied AI development.
  • Proven experience with LLMs, semantic search/routing, and contextual AI systems.
  • Experience building agentic pipelines and integrating AI into production systems.
  • Experience in document analysis, text embedding, classification and augmentation.
  • Comfortable working with vast documentation, large databases and complex dashboards.
  • Proficient in English and excellent communication skills.
Nice-to-Have Skills

Cybersecurity

  • Familiarity with cryptographic concepts and infosec.
  • Knowledge of post-quantum cryptography (PQC) and cryptographic risk analysis.
  • Knowledge of security concepts and experience with network and software cybersecurity domains.

AI/ML

  • Experience with dataset versioning, prompt tuning, and model evaluation.
  • Exposure to visual language models and natural language inference.
  • Experience with experiments tracking and monitoring.
  • Experience working with chain-of-thought prompting and reasoning models.

This role offers the opportunity to work on cutting-edge data and AI initiatives in cybersecurity, contributing to solutions that address real-world technology challenges. You will be part of a multidisciplinary team that blends security research, data engineering, and AI innovation, shaping systems that are not only secure but also intelligent and future ready.

About CENSUS

CENSUS is a globally recognized cybersecurity firm delivering top-tier IT and OT security solutions. We work with Fortune 500 companies, financial institutions, critical infrastructure, and secure communications providers worldwide. Our expertise spans cutting-edge research, scientific analysis, and deep engineering experience, ensuring unmatched security for products, infrastructure, and organizations.

🔗 Learn more about us at CENSUS | Cybersecurity Engineering.

#LI-Remote

Top Skills

Altair
AWS
Azure
Bitsandbytes
Deepeval
Docker
Faiss
Fastapi
GCP
Huggingface
Kubernetes
Langchain
Langgraph
Langsmith
Matplotlib
MongoDB
NoSQL
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Seaborn
Sentencetransformers
Spacy
Spark Sql
SQL
Sqlalchemy
Sqlglot
Streamlit
Superset
TensorFlow
Transformers
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The Company
London
178 Employees
Year Founded: 2018

What We Do

Census is the #1 Data Activation platform, powered by Reverse ETL. We transform the data warehouse into a hub for marketing and business operations, empowering everyone to take action with trusted, actionable data. No custom scripts or engineering favors required!Hundreds of modern companies like Sonos, Canva, Orangetheory Fitness, Fivetran, Figma, and Notion use Census to sync their customer data to the tools that business teams rely on, achieving outcomes like reducing Customer Acquisition Costs by 50%, personalizing marketing for 125 million users, and reducing support times by 98%.We’d love to help you achieve better outcomes with trusted data – let’s chat!

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