

Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a 2-month contract (possible extensions) based remotely in the UK. Key skills include Python, LLM workflows, FastAPI, PostgreSQL, and DevOps/MLOps experience. Strong understanding of prompt engineering and React.js is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
1 to 3 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Python #PostgreSQL #ML (Machine Learning) #DevOps #AI (Artificial Intelligence) #Monitoring #Databases #FastAPI #Deployment #React #Scala
Role description
AI Engineer
(Contract, 2 Months - Possible extensions)
Location: UK Remote
Our client is an exciting, ambitious, rapidly growing AI powered Property Tech business. Due to rapid start-up growth, they now require a passionate AI Engineer to join the team on a contract basis for 2 month initial period.
The successful candidate will help build and scale advanced AI-driven applications, with a strong focus on production-ready LLM workflows, efficient architecture, and seamless integrations. You’ll work alongside a tight-knit team of engineers and product leads who are deeply committed to building responsible, high-impact AI systems.
If you’re excited by the intersection of AI, software engineering, and emerging agentic architectures—this is your place. The business is an ambitious, fast-moving team building next-generation AI-native systems — products that think, learn, and adapt in real time.
The vision is to redefine how intelligent software interacts with the world, enabling capabilities that feel more like working with a creative partner than a machine. We’re looking for someone who’s not just skilled but obsessed with AI. If you're driven by curiosity, excited by experimentation, and motivated to contribute to a team building meaningful and novel AI experiences, we want to hear from you.
Minimum Requirements:
• Strong Python skills with clean, maintainable code.
• Proven production experience with LLM workflows and scaling them in real-world applications.
• Solid understanding of advanced prompt engineering techniques.
• Good knowledge and practical experience with FastAPI and RESTful APIs.
• Solid knowledge of PostgreSQL.
• Experience with DevOps/MLOps, including deploying and monitoring ML pipelines.
• Decent React.js experience to support front-end integration and prototyping.
• Good understanding of audio protocols (e.g., WebRTC, SIP, RTP).
Preferred (Bonus) Skills
• Production experience with Agno or Phidata.
• Familiarity with Microsoft Autogen or CrewAI agent frameworks.
• Experience with LlamaIndex (formerly GPT Index).
• Practical experience with memory frameworks like Mem0 or Letta.
• Understanding and production experience with traditional RAG and agentic RAG architectures.
• Strong grasp of embedding systems and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Production experience with LiveKit or similar audio/video platforms.
What You’ll Be Doing
• Building and deploying scalable AI features, agents, and services powered by LLMs.
• Prototyping and refining advanced prompt strategies and memory techniques.
• Contributing to backend and front-end components for real-time, interactive applications.
• Collaborating closely with product and infrastructure teams to ship impactful features.
• Driving clean and reliable deployments with MLOps best practices.
AI Engineer
(Contract, 2 Months - Possible extensions)
Location: UK Remote
Our client is an exciting, ambitious, rapidly growing AI powered Property Tech business. Due to rapid start-up growth, they now require a passionate AI Engineer to join the team on a contract basis for 2 month initial period.
The successful candidate will help build and scale advanced AI-driven applications, with a strong focus on production-ready LLM workflows, efficient architecture, and seamless integrations. You’ll work alongside a tight-knit team of engineers and product leads who are deeply committed to building responsible, high-impact AI systems.
If you’re excited by the intersection of AI, software engineering, and emerging agentic architectures—this is your place. The business is an ambitious, fast-moving team building next-generation AI-native systems — products that think, learn, and adapt in real time.
The vision is to redefine how intelligent software interacts with the world, enabling capabilities that feel more like working with a creative partner than a machine. We’re looking for someone who’s not just skilled but obsessed with AI. If you're driven by curiosity, excited by experimentation, and motivated to contribute to a team building meaningful and novel AI experiences, we want to hear from you.
Minimum Requirements:
• Strong Python skills with clean, maintainable code.
• Proven production experience with LLM workflows and scaling them in real-world applications.
• Solid understanding of advanced prompt engineering techniques.
• Good knowledge and practical experience with FastAPI and RESTful APIs.
• Solid knowledge of PostgreSQL.
• Experience with DevOps/MLOps, including deploying and monitoring ML pipelines.
• Decent React.js experience to support front-end integration and prototyping.
• Good understanding of audio protocols (e.g., WebRTC, SIP, RTP).
Preferred (Bonus) Skills
• Production experience with Agno or Phidata.
• Familiarity with Microsoft Autogen or CrewAI agent frameworks.
• Experience with LlamaIndex (formerly GPT Index).
• Practical experience with memory frameworks like Mem0 or Letta.
• Understanding and production experience with traditional RAG and agentic RAG architectures.
• Strong grasp of embedding systems and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Production experience with LiveKit or similar audio/video platforms.
What You’ll Be Doing
• Building and deploying scalable AI features, agents, and services powered by LLMs.
• Prototyping and refining advanced prompt strategies and memory techniques.
• Contributing to backend and front-end components for real-time, interactive applications.
• Collaborating closely with product and infrastructure teams to ship impactful features.
• Driving clean and reliable deployments with MLOps best practices.