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- Tasks: Join a team to develop cutting-edge AI solutions and fine-tune Large Language Models.
- Company: Dynamic tech company focused on innovative AI technologies.
- Benefits: Competitive rate, hybrid work model, and opportunities for professional growth.
- Why this job: Be at the forefront of AI development and make a real impact in the tech world.
- Qualifications: Experience in C#.Net, Python, and knowledge of AI principles required.
- Other info: Collaborative environment with a focus on ethical AI and continuous learning.
We are looking for an experienced AI Developer to join a team developing cutting edge AI solutions who will either have current and active SC clearance or have the ability to be able to obtain SC clearance.
You will provide solutions across both Azure and AWS technologies and importantly have a demonstrable background in C#.Net. This will be a very much collaborative role working with a range of domain experts. Being the AI SME you will provide technical expertise on GenAI capabilities and its limitations to the non-technical people.
What you will bring to the team:
- Fine-tune Large Language Models (LLMs) and other generative architectures.
- Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning.
- Experiment with model configurations to balance performance, cost, and scalability.
- Build robust data pipelines for continuous model improvement and retraining.
- Ensure compliance with ethical AI and data governance standards (privacy, bias mitigation).
- Develop APIs, microservices, and integrations to embed GenAI models into enterprise workflows.
- Work with frontend and backend teams to deliver AI-driven features in production.
Required Skills:
- Programming: Python, .NET/C# (Key to have a background in C#)
- Knowledge of AI principles and AI ethics
- Knowledge of data safety in LLM usage
- Experience with:
- AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2
- Azure: Azure OpenAI Service, Cosmos DB
- Retrieval-Augmented Generation (RAG), Graph RAG
- Embedding models and LLM training fundamentals
AI Developer/Engineer employer: Damia Group Ltd
Contact Detail:
Damia Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer/Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and join online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C#.Net and generative AI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI principles and ethics. Be ready to discuss how you’ve tackled challenges in previous roles, especially around compliance and data safety.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace AI Developer/Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C#.Net and any relevant AI projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to mention your experience with Azure and AWS technologies. We’re looking for someone who can hit the ground running, so highlight any specific tools or frameworks you’ve worked with.
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’s super easy!
How to prepare for a job interview at Damia Group Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your C#.Net skills and be ready to discuss how you've used it in past projects. Familiarise yourself with Azure and AWS technologies, especially the specific services mentioned in the job description. Being able to talk confidently about your technical expertise will impress the interviewers.
✨Showcase Your AI Knowledge
Prepare to discuss generative AI principles and ethical considerations. Be ready to explain how you've fine-tuned large language models or optimised pre-trained models for business use cases. This will demonstrate your understanding of the field and your ability to communicate complex ideas to non-technical stakeholders.
✨Collaborative Spirit is Key
Since this role involves working closely with domain experts, think of examples where you've successfully collaborated in a team setting. Highlight your communication skills and how you’ve contributed to a project’s success by working well with others. This will show that you're not just a tech whiz but also a team player.
✨Prepare Questions to Ask
Interviews are a two-way street, so come prepared with insightful questions about the team, the projects, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
