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For Companies At a Glance
- Tasks: Design and develop AI applications using LangGraph in a fast-paced environment.
- Company: Join a growing tech company focused on innovative AI solutions.
- Benefits: Competitive pay up to £700 per day, hybrid work model, and inclusive culture.
- Why this job: Make an impact by building cutting-edge AI products with a talented team.
- Qualifications: Experience in agentic AI systems and full stack engineering required.
- Other info: Diverse and inclusive workplace with opportunities for professional growth.
The predicted salary is between 50400 - 84000 £ per year.
We are seeking an experienced Full Stack AI Engineer to join a growing tech company on an initial 3-month contract. This role is ideal for someone with strong, hands-on experience building agentic AI systems, particularly using LangGraph, and who enjoys working in fast-paced, product-led environments.
The Role
You will play a key role in designing, building, and deploying AI-powered products, working closely with cross-functional teams to deliver intelligent, scalable solutions.
Key responsibilities include:
- Designing and developing full stack AI applications with a focus on agentic AI architectures
- Building and orchestrating AI agents using LangGraph (and related frameworks and tools)
- Integrating LLMs with APIs, tools, databases, and front-end interfaces
- Collaborating with product managers, designers, and engineers across the business
- Contributing to system architecture, technical design, and engineering best practices
- Supporting rapid prototyping, experimentation, and iteration of AI-driven features
- Ensuring solutions are robust, secure, and production-ready
About You
Essential experience:
- Demonstrable, hands-on experience building agentic AI systems
- Strong experience with LangGraph (or similar agent frameworks)
- Solid full stack engineering background (e.g. Python and/or TypeScript, APIs, modern front-end frameworks)
- Experience working with LLMs, prompt engineering, and agent orchestration
- Comfortable working in agile, collaborative engineering teams
- Ability to clearly explain complex AI concepts to technical and non-technical stakeholders
Desirable:
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with MLOps, evaluation, and monitoring of AI systems
- Experience working in product-led or scale-up environments
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Agentic AI Engineer - LangGraph employer: Sanderson Government and Defence
Contact Detail:
Sanderson Government and Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer - LangGraph
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who have experience with agentic AI and LangGraph. 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 projects related to agentic AI systems. This could be anything from GitHub repos to live demos. We love seeing what you can do, and it gives you a leg up during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of LLMs and prompt engineering. Be ready to explain complex concepts in simple terms. Remember, we want to see how well you can communicate with both techies and non-techies!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our team and contributing to exciting AI projects.
We think you need these skills to ace Agentic AI Engineer - LangGraph
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with agentic AI systems and LangGraph. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects: If you've worked on any full stack AI applications or have experience with LLMs, make sure to mention them. We’re keen to see examples of your work that demonstrate your hands-on experience.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Inside Out
Make sure you’re well-versed in agentic AI systems and LangGraph. Brush up on your full stack engineering skills, especially in Python and TypeScript. Be ready to discuss specific projects where you've built or integrated these technologies.
✨Showcase Your Collaboration Skills
This role involves working closely with cross-functional teams, so be prepared to share examples of how you've successfully collaborated with product managers, designers, and engineers. Highlight your experience in agile environments and how you contribute to team dynamics.
✨Explain Complex Concepts Simply
You’ll need to communicate complex AI concepts to both technical and non-technical stakeholders. Practice explaining your past projects in a way that’s easy to understand, focusing on the impact and outcomes rather than just the technical details.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially in rapid prototyping and iteration of AI features. Think of scenarios where you had to troubleshoot or innovate under pressure, and be ready to walk through your thought process.
