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For Companies At a Glance
- Tasks: Lead AI initiatives and architect autonomous systems to solve real-world challenges.
- Company: Join DeliveryApp, a rapidly growing tech company focused on innovative logistics solutions.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on deep collaboration and strategic planning.
- Why this job: Make a significant impact by designing cutting-edge AI systems that drive business value.
- Qualifications: 5+ years of Python development and proven experience in building AI systems.
The predicted salary is between 36000 - 60000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.
About DeliveryApp
DeliveryApp is in an exciting phase of rapid growth. As we scale our operations and technology, we are expanding our engineering team to build the next generation of our platform. We are looking for a highly capable Senior Python Developer to step in and take full ownership of our AI initiatives. You will not just be writing code; you will be driving the architecture, making critical technical decisions, and leading the implementation of our AI capabilities from the ground up.
The Mission
You will be architecting autonomous agents designed to solve high-impact, real-world challenges across our logistics network. Expect to tackle complex, reasoning-driven problems involving dynamic logistical optimization, intelligent operational automation, and advanced customer-facing solutions.
The Role
This role focuses on building autonomous, reasoning-driven AI systems. We are not looking for someone to build simple API wrappers. You will take complete ownership of designing and deploying sophisticated agentic architectures that drive real value for the business.
Core Stack
- Python: Expert level
- AI Frameworks: LangChain, CrewAI, AutoGPT-style frameworks
- Vector Databases: Pinecone, Milvus, Weaviate
- Architecture: LLM orchestration and tool-calling pipelines
- API Design: REST and GraphQL
What Sets This Role Apart
- Deep Reasoning: Deep understanding of LLM reasoning loops.
- Self-Correction: Building self-correcting agent architectures.
- Scale: Prompt engineering at a production scale.
- Complexity: Designing and managing multi-agent workflows.
- Optimization: Advanced memory and retrieval strategies (RAG optimization).
Requirements
- Experience: 5+ years of professional Python development.
- Proven Track Record: A portfolio of deployed AI systems (prototypes alone will not suffice).
- Specialization: Direct experience building autonomous task-solvers or multi-agent systems.
- System Design: Strong architectural and system design capabilities (whiteboarding will be required during the interview process).
- Communication: Excellent and fluent English speaking skills are absolutely essential. You must have the ability to clearly explain complex AI logic to non-technical stakeholders.
- Working Model: A minimum of 4 days a week on-site is required for deep collaboration, architectural whiteboarding, and strategic planning.
Compensation
Salary: Competitive and negotiable based on experience.
Senior Python Developer - Agentic AI Systems in Manchester employer: DeliveryApp
Contact Detail:
DeliveryApp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Developer - Agentic AI Systems in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving AI systems. When you apply through our website, include links to your GitHub or any live demos to impress the hiring team.
✨Tip Number 3
Prepare for technical interviews by practising whiteboarding sessions. Brush up on system design and be ready to explain your thought process clearly. Remember, they want to see how you tackle complex problems!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. It shows your enthusiasm for the role and gives you another chance to highlight why you're the perfect fit for their team.
We think you need these skills to ace Senior Python Developer - Agentic AI Systems in Manchester
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your expertise in Python and any relevant frameworks you've worked with. We want to see your experience shine through, so don’t hold back on showcasing your projects and achievements!
Demonstrate Your AI Experience: Since this role is all about AI systems, include specific examples of autonomous agents or multi-agent systems you've built. We’re looking for a proven track record, so share those deployed AI systems that you’ve been part of!
Keep It Clear and Concise: While we love detail, clarity is key! Make sure your application is easy to read and understand. Use straightforward language to explain complex concepts, especially if they relate to AI logic, as we need to communicate effectively with non-technical stakeholders.
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 this exciting opportunity. Don’t miss out on being part of our growing team!
How to prepare for a job interview at DeliveryApp
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python and the specific AI frameworks mentioned in the job description, like LangChain and AutoGPT. Brush up on your knowledge of vector databases too, as you might be asked to discuss how they integrate with your projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world challenges you've tackled in previous roles. Be ready to explain your thought process and the reasoning behind your architectural decisions, especially when it comes to building autonomous systems.
✨Practice Whiteboarding
Since system design and architecture are key parts of this role, practice whiteboarding your ideas. Get comfortable explaining complex concepts visually, as this will likely come up during the interview.
✨Communicate Clearly and Confidently
You’ll need to explain intricate AI logic to non-technical stakeholders, so practice breaking down complex ideas into simple terms. Good communication is essential, so don’t shy away from showcasing your ability to engage with diverse audiences.