At a Glance
- Tasks: Design and build innovative AI systems that redefine workflows and enhance automation.
- Company: Join a pioneering tech startup shaping the future of AI.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic startup environment offering significant career advancement opportunities.
- Why this job: Be a core team member influencing cutting-edge AI technology and making a real impact.
- Qualifications: Strong software engineering skills with hands-on AI system experience required.
The predicted salary is between 100000 - 150000 £ per year.
Responsibilities
- Design and build the core primitives behind our agentic systems, including memory, context management, tool-calling, orchestration, and feedback loops.
- Move us from one-off AI solutions toward reusable infrastructure where new workflows can be introduced quickly and with predictable reliability.
- Build the evaluation framework that allows us to understand how our agents perform and why they succeed or fail.
- Make testing, tracing, debugging, and evaluating AI systems as fundamental to our engineering process as unit testing traditional software.
- Develop the systems that allow us to confidently assess an agentic workflow before deploying it into production.
- Push forward how we use LLMs to build software itself.
- Create workflows where coding agents and specialized subagents can explore repositories, implement changes, review architecture, check conventions, run evaluations, and iterate with minimal human coordination.
- Use agentic engineering workflows extensively in your own day-to-day development.
- Design systems where specialized agents, tools, deterministic software, and humans work together effectively.
- Understand when a problem should be solved with an LLM, when traditional software is the better solution, and when multiple coordinated agents can materially improve the outcome.
- Act as the bridge between complex operational workflows and engineering.
- Work closely with our operational and product teams to understand how work actually happens across acquired agencies, identify the highest-leverage opportunities for automation, and turn them into reliable production systems.
- Help define the architectural patterns we use for agentic systems as the company scales.
Requirements
- Strong software engineering background with experience independently delivering complex systems from idea through to production.
- Hands-on experience building AI or agentic systems that have operated in production.
- Experience dealing with real-world AI challenges such as reliability, latency, context management, failure modes, evaluation, and observability.
- Strong understanding of agents, tool use, structured outputs, context management, orchestration, evaluation, and feedback loops.
- Advanced practical use of modern LLMs — not simply using ChatGPT or Claude occasionally, but understanding how to build reliable workflows around probabilistic systems.
- Experience using coding agents and agentic development workflows as part of your own engineering process.
- Experience decomposing complex engineering tasks across agents or specialized subagents and designing mechanisms for them to verify and improve their outputs.
- Strong architectural judgment and ability to decide when to use LLMs, deterministic software, human intervention, or a combination of approaches.
- Experience with TypeScript / Node.js, or strong experience building AI systems in Python with the ability and willingness to apply that knowledge in a TypeScript-first environment.
- High autonomy, ownership, and comfort making decisions under ambiguity.
- Strong product judgment and ability to connect technical decisions to operational and business outcomes.
- Strong communication skills and fluency in English.
- Startup mentality: resilience, adaptability, and ability to thrive in a fast-paced environment.
Applied AI Engineer – (Remote) (Europe or UK) employer: Sivadconsulting
Sivadconsulting offers a unique opportunity for professionals in the AI field, providing a collaborative and innovative work culture. Employees benefit from competitive salaries and the chance to work on groundbreaking projects that shape the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer – (Remote) (Europe or UK)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Sivadconsulting or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Sivadconsulting.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Sivadconsulting.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Sivadconsulting that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI Engineer – (Remote) (Europe or UK)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Sivadconsulting.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sivadconsulting and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Sivadconsulting
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Sivadconsulting uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
