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- Tasks: Lead the design and delivery of complex AI-native systems and engage with cutting-edge technologies.
- Company: Private equity-backed firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while making a real impact in a dynamic environment.
- Qualifications: 6-8 years in software or AI engineering with strong skills in LLMs and multi-agent systems.
- Other info: Join a forward-thinking team with excellent career advancement opportunities.
The predicted salary is between 72000 - 108000 £ per year.
Our client is a private equity backed firm looking for a Deep AI/Agentic Engineer to lead the design and delivery of the organisation's complex AI-native engagements, from agentic systems to semantic layers. This role pairs hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm’s long-term engineering capability.
Responsibilities:
- Design and build production-grade AI systems across:
- LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops.
- Multi-agent architectures, including planning, delegation, safety constraints, and monitoring.
- Retrieval & vector-based systems, embeddings, structured reasoning, and semantic workflows.
- Ontology & knowledge modelling literacy, enabling more precise reasoning and data alignment.
- Integrations & automation, including API workflows, tools, and enterprise connectors.
Skills:
- 6–8 years in Software/application engineering, AI engineering, or applied data engineering.
- Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores.
- Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns.
- Proficiency in Python, including the ability to build production-grade workflows.
- Experience with at least one cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, Anthropic, AWS etc.).
- Familiarity with semantic modelling, ontologies, or knowledge graph thinking - literacy required, mastery a bonus.
Deep AI/Agentic Engineer in London employer: ConSol Partners
Contact Detail:
ConSol Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep AI/Agentic Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and multi-agent systems. We love seeing real-world applications of your expertise, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to AI systems and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who can contribute to our mission in AI engineering.
We think you need these skills to ace Deep AI/Agentic Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Deep AI/Agentic Engineer role. Highlight your experience with LLMs, multi-agent systems, and any relevant projects that showcase your skills in AI engineering. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience makes you the perfect fit for our team. Don’t forget to mention specific projects or achievements that relate to the job description.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in Python and cloud AI ecosystems. We love seeing concrete examples of how you've built production-grade workflows or worked with multi-agent architectures. Let us know what you've done!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at ConSol Partners
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, embeddings, and multi-agent systems. Be ready to discuss specific projects you've worked on that showcase your hands-on experience with these technologies. The more you can demonstrate your expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex engineering challenges in the past. Think of examples where you designed production-grade AI systems or implemented effective orchestration patterns. This will show them you can think critically and lead technical projects.
✨Understand Their Needs
Research the firm and their AI-native engagements. Understand their goals and how your skills can help them achieve those. Tailor your responses to align with their objectives, especially around client trust and enterprise outcomes.
✨Ask Smart Questions
Prepare insightful questions about their current AI projects and future plans. This not only shows your interest but also gives you a chance to demonstrate your knowledge of semantic modelling and knowledge graphs. It’s a great way to engage with the interviewers and leave a lasting impression!
