Who You Are

You are a hands-on engineer who thinks like an architect and acts like a builder. You are comfortable working closely with the client, the problem, and the delivery, and you make sound decisions in complex, evolving environments.

You enjoy solving operational challenges, not only exploring technical concepts.

You communicate clearly with both technical teams and senior business stakeholders.

You navigate ambiguity with confidence, validate assumptions, and adapt quickly.

You take ownership of outcomes and raise risks or changing priorities early.

You understand that AI value depends on the full system: data, workflows, governance, adoption, and measurement.

You naturally look for what can be reused, improved, and scaled.

What You Bring

Qualifications & Experience

• 5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
• Hands-on experience delivering AI, GenAI, or software solutions into production.
• Experience working directly with clients or in complex stakeholder environments.
• Evidence of turning complex use cases into adopted, measurable solutions.
• A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
• Ability to work effectively in multidisciplinary environments.
• Professional proficiency in English.

Technical & Professional Skills

• Strong Python development skills, API integration experience, and modern software-engineering practices.
• Hands-on experience with Large Language Models (LLMs), GenAI architectures, prompt workflows, and model/provider selection.
• Experience with RAG, embeddings, vector search, AI agents, and agentic workflows.
• Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.
• Experience integrating AI into enterprise systems, APIs, and business workflows.
• Experience with at least one major cloud platform: Azure, AWS, or GCP.
• Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation.
• Understanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles.

Nice to Have

• Experience in consulting or client-facing environments.
• Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs.
• Front-end or full-stack development experience, for example, Node.js or React.
• Consulting or professional-services experience.
• Exposure to regulated industries or enterprise governance requirements.

What Makes You Successful

• You combine technical credibility, pragmatism, and end-to-end ownership.
• You focus on real-world outcomes, adoption, and measurable value—not only the solution itself.
• You move quickly while balancing speed, quality, cost, and risk.
• You build trust and become a reliable partner in complex client environments.
• You operate effectively under pressure in client environments, where progress and results are continuously visible.
• You know when to go deep technically and when to orchestrate the right expertise.
• You continuously improve, reuse, and scale what works across engagements.

What We Offer at Keyrus UK

• Competitive holiday allowance
• Private Medical & Dental Insurance (Bupa)
• Group Life Insurance
• Gym & fitness discounts via Pluxee (Sodexo)
• On-site gym access at our London office
• Access to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)
• Auto-enrolment pension scheme with Aegon.
• Training & Development via KLX (Keyrus Learning Experience)
• Strong focus on career development and internal mobility.
• Electric & hybrid car scheme via Tusker
• Annual discretionary bonus, based on individual and company performance
• Referral bonus for introducing new colleagues.

How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range: You meet the core requirements and will need ramp-up time and support.
• Middle of the range: You are fully autonomous from Day 1 and deliver consistently.
• Top of the range: You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.

To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.