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- Tasks: Design and implement AI agents for enterprise platforms with a focus on security and compliance.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI with real-world impact.
- Qualifications: Strong background in machine learning, data workflows, and generative AI required.
- Other info: Ideal for those passionate about technology and eager to tackle complex challenges.
The predicted salary is between 48000 - 72000 £ per year.
Job description Job Description Agent Design & Delivery : Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI/CD, Databricks), with human-in-the-loop controls, observability, and auditability. Hybrid Skillset : Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI/LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. Expertise across RAG also, and experience with RPA/automation for understanding/awareness Security & Risk by Design : Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks. Build transparent, auditable solutions with traceability of agent decisions and data lineage. Apply threat modelling and compliance thinking from the start, not as an afterthought. Enterprise Engineering : Hands on experience in building data pipelines, secure API integrations, and scaling MVPs into stable, reusable services. Translational Ability : Can communicate effectively across technical and business domains, ensuring solutions align to ROI and strategy. Apply now! #J-18808-Ljbffr
Generative AI Engineer employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Familiarise yourself with the specific enterprise platforms mentioned in the job description, like SAP and Salesforce. Understanding how these systems work will help you demonstrate your ability to integrate AI agents effectively.
✨Tip Number 2
Stay updated on the latest trends and challenges in Generative AI, especially regarding security risks like prompt injection and data leakage. Being knowledgeable about these issues will show that you can build secure and compliant solutions.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. This skill is crucial for communicating across technical and business domains, which is a key requirement for this role.
✨Tip Number 4
Consider working on personal projects or contributing to open-source initiatives that involve building data pipelines or AI agents. This hands-on experience will not only enhance your skills but also provide concrete examples to discuss during interviews.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Generative AI Engineer. Familiarise yourself with the technologies mentioned in the job description, such as SAP, Salesforce, and Databricks.
Tailor Your CV: Highlight your experience with machine learning, data workflows, and generative AI architectures. Be specific about your skills in RAG and RPA/automation, and ensure your CV reflects your ability to build secure API integrations and data pipelines.
Craft a Compelling Cover Letter: Use your cover letter to demonstrate your understanding of Gen AI risks and your approach to building transparent solutions. Discuss how your background aligns with the company's goals and how you can contribute to their projects.
Showcase Your Communication Skills: In your application, emphasise your ability to communicate effectively across technical and business domains. Provide examples of how you've ensured that your solutions align with ROI and strategy in previous roles.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with traditional machine learning and generative AI architectures. Highlight specific projects where you've implemented AI agents or built data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Risks
Familiarise yourself with the potential risks associated with generative AI, such as prompt injection and data leakage. Be ready to discuss how you would build secure and auditable solutions that address these concerns from the outset.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. This role requires effective communication across both technical and business domains, so being able to articulate your ideas clearly will set you apart.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to select the right approach for different problems. Think of examples where you've had to choose between machine learning, LLMs, or hybrid solutions, and be ready to explain your reasoning.
