Hybrid (Flexible / Intentional) | Agile Intech

Synthetic Data Engineer

AgileIntech — Thu, 22 Oct 2026 10:33:28 +0000

Company: Confidential

Location: Remote / Hybrid / Paris, France

Employment Type: Full-time

Department: Data Science & Machine Learning

About the Role

We are hiring a Synthetic Data Engineer to design and build automated data pipelines that generate high-fidelity artificial datasets. You will help train and fine-tune machine learning models where real-world data is scarce, expensive, or restricted by privacy regulations.

Key Responsibilities

Data Generation: Utilize generative models (GANs, VAEs, Diffusion Models, or LLMs) to synthesize realistic structured, text, or image datasets.
Validation & Quality Control: Perform statistical evaluations to ensure synthetic data accurately mirrors real-world distributions while preventing mode collapse.
Privacy Assurance: Apply differential privacy and anonymization techniques to guarantee zero leakage of personally identifiable information (PII).
Data Pipeline Engineering: Build scalable, repeatable data generation and ingestion pipelines using Python, SQL, and orchestration tools like Airflow.

Qualifications & Requirements

3+ years in Data Engineering, Data Science, or Machine Learning with expertise in Python and SQL.
Strong statistical background (distribution analysis, hypothesis testing, generative modeling).
Experience with privacy-preserving frameworks and synthetic data tools.
Experience with large-scale data storage and compute engines (e.g., Spark, Snowflake).

Offer

Competitive base salary and performance incentives.
Flexible work arrangements and home office setup allowance.
Continuous learning budget for research and technical books/courses.

AI Safety & Red Teaming Analyst

AgileIntech — Thu, 22 Oct 2026 10:30:22 +0000

Company: [Your Company Name]

Location: [Remote / Hybrid / City, France]

Employment Type: Full-time

Department: AI Ethics & Cybersecurity

About the Role

We are seeking an AI Safety & Red Teaming Analyst to stress-test our AI applications, discover vulnerabilities, and ensure our systems operate safely, ethically, and securely. You will act as an internal adversary to identify edge-case failures, prompt jailbreaks, and potential compliance risks before models reach production.

Key Responsibilities

Red Teaming & Security Testing: Design and execute adversarial testing scenarios to identify prompt injection, jailbreaking, and data extraction vulnerabilities.
Bias & Fairness Audits: Evaluate model outputs for implicit bias, misinformation, and ethical risks across diverse demographics and use cases.
Guardrail Development: Work alongside engineering teams to implement content filters, safety layers, and automated moderation pipelines.
Compliance: Ensure model deployments align with regional and global regulations (e.g., EU AI Act, NIST AI Risk Management Framework).

Qualifications & Requirements

2+ years of experience in cybersecurity, red teaming, ethical hacking, or AI safety research.
Deep understanding of Generative AI vulnerabilities and common attack vectors.
Familiarity with Python, security evaluation tools, and automation frameworks.
Strong interest in AI ethics, governance, and risk mitigation.

Offer

Competitive compensation package with equity options.
Dedicated focus on cutting-edge security and ethical tech deployment.
Collaborative and inclusive company culture.

AI Agent Engineer (Agentic Workflow Architect)

AgileIntech — Thu, 22 Oct 2026 10:27:17 +0000

Company: Confidential

Location: [Remote / Hybrid / Brussels]

Employment Type: Full-time

Department: Engineering & AI Systems

About the Role

We are looking for an AI Agent Engineer to architect and build autonomous AI agents and multi-agent systems. You will design stateful, event-driven workflows that enable AI models to execute multi-step business logic, interact with APIs, and collaborate to solve complex operational problems.

Key Responsibilities

Agent Architecture: Design and build autonomous AI agent networks capable of tool-use, web navigation, and API execution using frameworks like LangChain, CrewAI, or AutoGen.
Workflow Orchestration: Develop robust, fault-tolerant orchestration logic to handle agent execution loops, memory management, and error recovery.
Integration: Connect AI agents to enterprise data stores, legacy systems, and third-party SaaS APIs.
Performance Optimization: Monitor system throughput, minimize API token costs, and optimize multi-agent execution times.

Qualifications & Requirements

3+ years of software engineering experience with strong proficiency in Python or TypeScript.
Proven experience building agentic systems, tool-calling agents, or complex RAG architectures.
Experience with REST APIs, databases (SQL, NoSQL, Vector Databases like Pinecone/Weaviate), and event-driven architecture.
Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.

Offer

High-impact role building frontier AI technology.
Modern tech stack and generous hardware/cloud compute budget.
Comprehensive healthcare and wellness benefits.

Prompt Engineer

AgileIntech — Thu, 22 Oct 2026 09:46:47 +0000

Company: Cofidential

Location: [Remote / Hybrid / City, Country]

Employment Type: Full-time

Department: AI & Product Development

About the Role

We are seeking a creative, analytical, and detail-oriented Prompt Engineer to join our AI team. In this role, you will bridge the gap between human intent and machine understanding by designing, testing, and optimizing prompts that drive high-quality, accurate, and safe outputs from Large Language Models (LLMs).

Key Responsibilities

Prompt Engineering & Optimization: Design, implement, and iterate on complex prompt structures (e.g., Few-Shot, Chain-of-Thought, RAG-guided prompts) for enterprise applications.
Evaluation & Testing: Build qualitative and quantitative benchmarking workflows to evaluate model outputs for accuracy, relevance, tone, and latency.
Safety & Alignment: Implement guardrails to protect against hallucination, prompt injection attacks, and data leakage.
Collaboration: Partner with software engineers and product managers to integrate prompt pipelines into production environments.

Qualifications & Requirements

1–3+ years of hands-on experience working with modern Generative AI models (e.g., OpenAI GPT series, Anthropic Claude, Google Gemini).
Strong logical reasoning and exceptional written communication skills.
Working knowledge of Python and basic API integration.
Familiarity with NLP concepts, vector databases, and embeddings.

Offer

Competitive salary and performance bonuses.
Remote-first or hybrid work environment with flexible hours.
Annual stipend for AI conferences, courses, and certifications.