At a Glance
- Tasks: Lead the development of next-gen AI products and bridge research with production software.
- Company: GlobalLogic, a forward-thinking digital engineering partner in the Hitachi Group.
- Benefits: Comprehensive health plans, wellness perks, competitive pension, and generous training budget.
- Other info: Enjoy social events, volunteering days, and a flexible hybrid work model.
- Why this job: Make a real impact in AI while working in a supportive and inclusive culture.
- Qualifications: 10+ years in software engineering with strong AI/ML application experience.
The predicted salary is between 63000 - 77000 £ per year.
GlobalLogic is seeking a Principal AI Engineer to lead the technical vision, architecture, and hands‑on execution of our next‑generation AI‑first products, working directly with our enterprise clients to translate frontier AI capability into product features they can actually run in production. You’ll bridge cutting‑edge AI research and production‑grade software engineering across four core domains: autonomous agentic systems, LLM orchestration/RAG/fine‑tuning, real‑time ML infrastructure, and intelligent data platforms.
Requirements
Who You Are
- 10+ years of software engineering experience, including 3+ years specifically building and scaling AI or ML applications in production.
What You’ll Bring
- AI DLC experience: Proven track record with the AI Development Life Cycle (AI DLC).
- Modern AI stack depth: Python/TypeScript, PyTorch, an orchestration framework (LangGraph, LangChain/LlamaIndex, CrewAI, or AutoGen), and vector databases (Pinecone, Qdrant, Weaviate, or Milvus).
- Model-serving infrastructure: For example Triton/vLLM as well as LLM gateway products such as LiteLLM or Bifrost.
- A production track record: Designing complex RAG pipelines, fine‑tuning foundation models (LoRA/QLoRA), and deploying multi‑agent autonomous systems that have run in production not just proofs of concept.
- Cloud & MLOps fluency: AWS/GCP/Azure, containerization, serverless architectures, and MLOps/LLMOps tooling (Weights & Biases, LangSmith, MLflow).
- A product-first mindset: Fluency with evaluation frameworks (Ragas, DeepEval) and a track record of managing latency, cost, and hallucination tradeoffs in a live product, not a lab setting.
Job responsibilities
What You’ll Do
- Own end‑to‑end delivery: Architect and ship AI products, agentic frameworks, and multi‑modal application backends into production.
- Set the evaluation bar: Establish continuous evaluation pipelines, guardrails, observability, and cost‑optimization strategy for production LLM deployments.
- Decide the stack: Own build‑vs‑buy calls e.g. self-hosted vLLM vs. a managed endpoint and the RAG‑vs‑fine‑tune tradeoffs that other squads calibrate against.
- Lead technical culture: Set technical direction across AI engineering guilds: rigorous engineering practice, prototyping velocity, and open‑source contribution.
What You’re Solving
- Autonomous agentic systems & workflows.
- LLM orchestration, RAG & fine‑tuning pipelines.
- Real‑time machine learning & AI infrastructure.
- Intelligent data platforms & context engines.
What we offer
Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.
You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long‑term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward‑thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
Principal AI Engineer IRC302972 in London employer: GlobalLogic
At GlobalLogic, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity and empowerment. Our commitment to employee growth is reflected in our generous training budget and comprehensive health and wellness plans, ensuring that our team members can thrive both personally and professionally. With a flexible hybrid working model and a vibrant social scene, including events and volunteering opportunities, we create an environment where everyone can contribute to meaningful projects while enjoying a balanced work-life experience.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer IRC302972 in London
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We think you need these skills to ace Principal AI Engineer IRC302972 in London
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 GlobalLogic.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at GlobalLogic 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 GlobalLogic
✨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 GlobalLogic 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.