Senior AI Engineer - Agentic AI, ML, GCP at Qodea

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Machine Learning, GCP, Python, PyTorch, TensorFlow, Model Fine-tuning, Retrieval Systems, Embeddings, Semantic Search, Vector Stores, MLOps, Model Versioning, Monitoring, Reproducible Pipelines, Agentic Systems, LLM-driven Agents

Industry

IT Services and IT Consulting

Description

Work where work matters. Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA. We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet. You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work. Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about. Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development. Due to several significant client wins, we are looking to connect with Senior AI Engineers to design, build, and productionise autonomous, agentic AI systems that deliver measurable product and business outcomes. You will translate high-level objecives into reliable, safe, and efficient agent architectures using LLMs, retrieval, and orchestration layers. We look for people who embody: Innovation to solve the hardest problems. ‍Accountability for every result. ‍Integrity always. We believe our best work happens when we connect. While we operate a flexible model, we expect you to spend 60% of your time on-site at our London office or a client location for collaboration sessions and workshops. About the role. Architecting Autonomy: Design and implement agentic AI architectures, including LLM-driven agents and executors, to solve product-level problems. GCP Integration: Integrate agent stacks with Google Cloud Platform services like Vertex AI and BigQuery to establish scalable deployment patterns. End-to-End Ownership: Develop and own pipelines for model training, fine-tuning, and retrieval-augmented generation (RAG). Performance and Safety: Define evaluation metrics for performance and correctness while implementing robust safety guardrails and content filtering. Strategic Collaboration: Work closely with product managers and engineers to translate requirements into deliverable solutions. Mentorship: Mentor engineers and share best practices for agent design and GCP operations. We are looking for individuals who can demonstrate a track record of technical excellence and tangible delivery: Demonstrable experience building production LLM-driven or agentic systems, such as multi-step agents or RAG pipelines. Strong practical experience with Google Cloud Platform components relevant to AI/ML, specifically Vertex AI and BigQuery. Proficiency in ML engineering and software engineering, including Python, PyTorch or TensorFlow, and model fine-tuning. Extensive experience with retrieval systems and embeddings, including semantic search and vector stores. Demonstrated experience applying MLOps practices, such as model versioning, monitoring, and building reproducible pipelines. We believe in supporting our team members both professionally and personally. Here's how we invest in you: Career Opportunities: The opportunity to work with world-leading brands on AI-first frontier technology projects that solve their biggest problems. Financial Wellbeing: Competitive base salary, matching pension scheme up to 5% , and a discretionary company bonus scheme. Health and Wellness: Private medical insurance, optical and dental cashback , and access to the Help@Hand app for remote GPs and mental health support. Growth and Development: Ten paid learning days per year , industry-recognised training and certifications , and clear opportunities for career development. Work-Life Balance: 36 days annual leave, an extra paid day off for your birthday , and the ability to work from anywhere for up to 3 weeks per year. Culture: Bonusly employee recognition platform and regular team events (both virtually and in-person). At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings and strive to create a fair and accessible hiring process for all.

Responsibilities

The role involves designing and implementing agentic AI architectures and integrating them with Google Cloud Platform services. Additionally, the engineer will develop and own pipelines for model training and ensure performance and safety metrics are met.