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- Tasks: Design and build cutting-edge AI systems with a focus on scalability and security.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by developing production-grade AI solutions that drive measurable outcomes.
- Qualifications: Strong software engineering skills and experience with modern AI practices required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled engineer to design, build, and operate production‑grade Agentic AI and Generative AI systems end‑to‑end. This role focuses on delivering scalable, secure, and observable services—not prototypes—by combining strong software engineering principles with modern AI practices such as RAG, multi‑agent orchestration, evaluation frameworks, and policy‑driven architectures. You will work on building robust APIs, reusable components, and enterprise‑grade pipelines that integrate LLMs, tools, and business systems to deliver measurable outcomes.
Key Responsibilities
- Agent Frameworks: FastAPI, Express, LangGraph, Semantic Kernel, Ray, Celery, Airflow, Prefect
- Data LLM Platforms: OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, vLLM, TGI
- DevOps: Docker, Kubernetes, Helm, Argo CD, Terraform, Vault, Istio
- Observability: OpenTelemetry, Prometheus, Grafana, ELK/OpenSearch
Quality
Gen AI Engineer employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Contact Detail:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Gen AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Agentic AI and Generative AI systems. We love seeing real-world applications of your work, so make sure to highlight those robust APIs and enterprise-grade pipelines you've built.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of tools like Docker, Kubernetes, and OpenTelemetry. We want to see that you can talk the talk and walk the walk when it comes to delivering scalable and secure services.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to dive into the world of AI with us.
We think you need these skills to ace Gen AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that align with the Gen AI Engineer role. We want to see how your background in software engineering and AI practices fits into what we're doing at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how you can contribute to our mission. We love seeing enthusiasm and a clear understanding of our goals.
Showcase Relevant Projects: If you've worked on projects involving AI systems, APIs, or DevOps tools, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on FastAPI, Docker, and Kubernetes, as well as any AI platforms like OpenAI or Azure OpenAI. Being able to discuss your experience with these tools will show that you're not just familiar but also ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, especially those related to building scalable AI systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your thought process and how you tackle complex problems.
✨Understand the Business Impact
Be ready to talk about how your work can deliver measurable outcomes for the company. Think about examples where your engineering solutions have led to improved efficiency or cost savings. This shows that you understand the bigger picture and are focused on delivering value.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's approach to AI and their future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Questions about their use of observability tools or multi-agent orchestration can spark engaging discussions.