Huzzle.com
AI Engineer - Remote

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About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency.
This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems.
Key Responsibilities
- Design, develop, and deploy AI and machine learning models for real-world applications.
- Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs.
- Develop scalable APIs and backend services for AI applications.
- Fine-tune machine learning models and improve model performance.
- Work with structured and unstructured datasets for training and inference.
- Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
- Integrate AI solutions into web platforms, CRMs, and business systems.
- Monitor AI model performance, reliability, and scalability in production.
- Collaborate with cross-functional teams to define AI product requirements and technical roadmaps.
- Stay updated on emerging AI technologies, frameworks, and best practices.
Reasons to use Rodeo
Iโm in my final year doing Economics and I donโt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer โ it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donโt need a masters. Letโs look at the ones youโd be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet โ that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant โ 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
Youโve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon โ deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme โ client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right โ and where to focus when applying.
Requirements
- 3+ years of experience in AI engineering, machine learning, or software engineering.
- Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
- Experience working with LLMs, generative AI tools, and prompt engineering.
- Familiarity with vector databases, embeddings, and RAG architectures.
- Knowledge of cloud platforms such as AWS, GCP, or Azure.
- Experience building REST APIs and scalable backend systems.
- Understanding of MLOps, model deployment, and monitoring workflows.
- Strong problem-solving and analytical thinking skills.
- Excellent communication and collaboration abilities.
- Experience working in remote or distributed teams is a plus.


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Benefits
- ๐ฐ Competitive salary based on experience and location.
- ๐ Fully remote role with flexible work environment.
- ๐ Work on cutting-edge AI automation projects with real business impact.
- ๐ Strong growth opportunity into senior AI / systems roles.
- ๐ง Exposure to LLMs, prompt engineering, and scalable AI system design.
- ๐ค Direct collaboration with a fast-moving, high-performance team.
โIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iโve been looking for.โ
Jessica, London
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