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For Companies At a Glance
- Tasks: Shape and scale AI products, focusing on cybersecurity challenges.
- Company: Join a dynamic startup with a focus on innovative AI solutions.
- Benefits: Enjoy remote work flexibility and collaborate with an experienced team.
- Why this job: Tackle cutting-edge AI challenges while making a meaningful impact in cybersecurity.
- Qualifications: 7+ years in backend development with strong Python and AI/ML knowledge.
- Other info: Mentorship opportunities available for junior engineers.
The predicted salary is between 43200 - 72000 £ per year.
About the Role
As a Backend Engineer, you’ll play a central role in shaping a new product with a strong focus on AI Agents and machine learning systems. This position offers a unique opportunity to help design, build, and scale a product from the ground up, influencing architectural decisions, AI integrations, and overall user experience. You'll be a key contributor in a fast-paced, innovation-driven environment working on AI-powered solutions in cybersecurity.
What You’ll Do
- AI Agent Development: Contribute to the creation and scaling of complex AI agents addressing major cybersecurity challenges.
- System Architecture: Design and implement backend systems to support AI-driven workloads, ensuring scalability, maintainability, and security.
- End-to-End Ownership: Own the full development lifecycle, from planning and design to deployment and ongoing support.
- Cross-Functional Collaboration: Work closely with other engineers and cross-functional stakeholders (e.g., product and design) to integrate new features smoothly.
- Performance Optimization: Monitor, evaluate, and improve application performance, scalability, and security.
- Code Quality & Standards: Establish and uphold coding standards, documentation, and best practices.
- Rapid Prototyping: Prototype new features quickly, iterating based on user and stakeholder feedback.
- Mentorship & Leadership: Mentor junior engineers and contribute to team growth through technical leadership and code reviews.
What We’re Looking For
- Experience: 7+ years of experience in backend development.
- Backend Expertise: Strong skills in backend technologies, including API design, database systems, and server-side frameworks (e.g., Python).
- AI/ML Knowledge: Understanding of machine learning principles and experience integrating AI models (especially LLMs) into production systems. Familiarity with tools like LangChain or LlamaIndex is a plus.
- Cloud & DevOps: Experience with cloud platforms (e.g., AWS), containerization (Docker/Kubernetes), and CI/CD workflows.
- Systems Design: Ability to architect and build AI-enhanced systems that are both performant and reliable.
- Problem Solver: Strong analytical mindset and ability to build robust, scalable solutions.
- Team Player: Excellent communication skills and comfort working in a collaborative, cross-functional team.
- Startup Readiness: Comfortable working in a dynamic, fast-changing startup environment, especially in the evolving AI space.
Why You’ll Want to Join
- Cutting-Edge Challenges: Work on generative AI technologies, including large language models and autonomous agents, to address critical challenges in cybersecurity.
- Experienced Team: Collaborate with a leadership team that brings extensive experience from major tech companies and successful startups, including IPOs and acquisitions.
- Meaningful Impact: Help organizations tackle growing cybersecurity risks—work that contributes to safer digital environments for everyone.
AI Software Engineer | Python | AWS | Kubernetes | CI/CD | LLM | LangChain | UK, Remote employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer | Python | AWS | Kubernetes | CI/CD | LLM | LangChain | UK, Remote
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially focusing on LLMs and tools like LangChain. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the AI and cybersecurity communities online. Join forums, attend webinars, or participate in hackathons to network with professionals in the field. This can lead to valuable connections and insights that may help you stand out.
✨Tip Number 3
Prepare to discuss your past projects in detail, particularly those involving backend development and AI integrations. Be ready to explain your thought process, challenges faced, and how you overcame them, as this showcases your problem-solving skills.
✨Tip Number 4
Showcase your collaborative spirit by highlighting experiences where you've worked cross-functionally. Emphasising your ability to communicate effectively with different teams will resonate well, especially in a dynamic startup environment like ours.
We think you need these skills to ace AI Software Engineer | Python | AWS | Kubernetes | CI/CD | LLM | LangChain | UK, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in backend development, particularly with Python and cloud technologies like AWS. Emphasise any work you've done with AI/ML, especially if it involves LLMs or tools like LangChain.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and cybersecurity. Mention specific projects where you've contributed to AI agent development or system architecture, showcasing your problem-solving skills and ability to work in a fast-paced environment.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, particularly those mentioned in the job description such as Kubernetes, CI/CD workflows, and API design. This will help demonstrate your fit for the role.
Highlight Collaboration Experience: Since the role requires cross-functional collaboration, provide examples of how you've successfully worked with other teams, such as product and design, to integrate new features or improve existing systems.
How to prepare for a job interview at Enigma
✨Showcase Your Technical Skills
Be prepared to discuss your experience with backend technologies, particularly Python and AWS. Highlight specific projects where you've designed APIs or implemented server-side frameworks, as this will demonstrate your expertise in the areas that matter most for the role.
✨Demonstrate AI/ML Knowledge
Since the role focuses on AI agents and machine learning systems, be ready to explain your understanding of these concepts. Discuss any experience you have with integrating AI models, especially large language models, into production systems, and mention tools like LangChain if applicable.
✨Emphasise Collaboration Skills
This position requires working closely with cross-functional teams. Prepare examples of how you've successfully collaborated with product managers, designers, or other engineers in the past. This will show that you're a team player who can thrive in a dynamic environment.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical mindset and problem-solving abilities. Think of scenarios where you've built robust, scalable solutions and be ready to walk through your thought process. This will help interviewers see your approach to tackling complex challenges.
