Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop AI applications using LangChain in a fast-paced environment.
- Company: Join a growing tech company with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Why this job: Make an impact by building cutting-edge AI systems and collaborating with diverse teams.
- Qualifications: Experience in agentic AI, LangChain, and full stack engineering required.
- Other info: Inclusive workplace that values diversity and supports all applicants.
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 LangChain, 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 LangChain (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 LangChain (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 - LangChain 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 - LangChain
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who have experience with LangChain. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to agentic AI and LangChain. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI systems and LangChain. Be ready to discuss your past experiences and how they relate to the role. Practice explaining complex concepts in simple terms!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team.
We think you need these skills to ace Agentic AI Engineer - LangChain
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with agentic AI systems and LangChain. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
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. We love seeing passion and personality in applications.
Showcase Your Technical Skills: Don’t forget to mention your full stack engineering skills, especially with Python, TypeScript, and any experience with LLMs. We’re looking for hands-on experience, so be specific about the tools and frameworks you’ve used.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your LangChain Inside Out
Make sure you brush up on your LangChain knowledge before the interview. Be ready to discuss how you've used it in past projects, and think of specific examples where you've built agentic AI systems. This will show that you're not just familiar with the framework but have hands-on experience.
✨Showcase Your Full Stack Skills
Prepare to talk about your full stack engineering background, especially with Python and TypeScript. Have examples ready that demonstrate your ability to integrate APIs and work with modern front-end frameworks. This will highlight your versatility and technical prowess.
✨Communicate Complex Ideas Simply
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex AI concepts in simple terms. Think of analogies or straightforward explanations that can help bridge the gap between tech jargon and everyday language.
✨Emphasise Collaboration and Agility
Be prepared to discuss your experience working in agile teams and how you collaborate with product managers and designers. Share specific instances where teamwork led to successful outcomes, as this role requires a strong collaborative spirit.
