CENSUS SA
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr