At a Glance
- Tasks: Design and optimise prompts for cutting-edge AI models and workflows.
- Company: Join a forward-thinking tech company focused on generative AI.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 4-5 years in prompt engineering or generative AI development required.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a skilled Prompt Engineer / LLM Specialist to join our AI research and development team. The ideal candidate will work on designing, optimizing, and validating prompts and workflows for large language models and agentic AI systems. This role focuses on building high-quality, efficient, and scalable generative AI applications.
Key Responsibilities:
- Design, test, and optimize prompts for large language models (LLMs) to achieve accurate and contextually relevant outputs.
- Collaborate with AI researchers and engineers to develop agentic systems and autonomous AI workflows.
- Validate and curate datasets to improve model performance and reliability.
- Implement human-in-the-loop processes for iterative model improvement.
- Document prompt strategies, patterns, and system behaviors for internal knowledge sharing.
- Monitor, analyze, and troubleshoot model outputs for bias, errors, or inconsistencies.
- Stay updated with the latest developments in LLMs, generative AI, and AI agent frameworks.
Required Skills & Qualifications:
- 4–5 years of experience in prompt engineering, LLM applications, or generative AI development.
- Strong understanding of LLMs, agentic AI, and AI workflows.
- Experience with Python and AI/ML libraries (Hugging Face, LangChain, OpenAI API, or similar).
- Familiarity with data curation, model evaluation, and human-in-the-loop systems.
- Excellent analytical and problem-solving skills.
- Strong communication skills for cross-functional collaboration.
Preferred Qualifications:
- Experience in developing agentic AI systems or autonomous AI agents.
- Knowledge of prompt optimization for multiple modalities (text, code, audio, or vision).
- Hands-on experience with fine-tuning or adapting LLMs for specific tasks.
Seniority level: Associate
Employment type: Contract
Job function: Information Technology
Industries: Technology, Information and Internet
Prompt Engineer employer: Sourcebae
At Sourcebae, we pride ourselves on being an exceptional employer, particularly for our Prompt Engineer role. Our remote work culture fosters flexibility and collaboration, allowing you to thrive in a supportive environment while working on cutting-edge generative AI projects. We offer ample opportunities for professional growth, continuous learning, and the chance to contribute to innovative solutions that shape the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Prompt Engineer
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
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Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Prompt Engineer
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Prompt Engineer at Sourcebae, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Sourcebae.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Sourcebae
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
