At a Glance
- Tasks: Lead the development of next-gen AI products and bridge research with production.
- Company: GlobalLogic, a leader in digital engineering and innovation.
- Benefits: Comprehensive health plan, wellness perks, hybrid work options, and generous training budget.
- Other info: Inclusive culture with opportunities for career growth and community engagement.
- Why this job: Shape the future of AI while working with top-tier clients and cutting-edge technology.
- Qualifications: 10+ years in software engineering with a focus on AI/ML applications.
The predicted salary is between 63000 - 77000 £ per year.
United Kingdom - Glasgow, London, Manchester
Global Logic 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/Type Script, Py Torch, an orchestration framework (Lang Graph, Lang Chain/Llama Index, Crew AI, or Auto Gen), and vector databases (Pinecone, Qdrant, Weaviate, or Milvus)
- Model‑serving infrastructure: For example Triton/v LLM as well as LLM gateway products such as Lite LLM or Bifrost
- A production track record: Designing complex RAG pipelines, fine‑tuning foundation models (Lo RA/QLo RA), 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, Lang Smith, MLflow).
- A product-first mindset: Fluency with evaluation frameworks (Ragas, Deep Eval) 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 v LLM 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
- Real-time machine learning & AI infrastructure
- #LI-CM1
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.
- a comprehensive health and wellness plan
- private healthcare (clinical and mental wellbeing)
- discounted gym memberships
- in office yoga sessions and massages
- a competitive pension scheme
- recognition schemes through bonus/reward initiatives
- an annual volunteering day – so you can take time to support a cause close to your heart
- trips to the zoo
- quiz nights
- sports events
- theatre trips
- 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 uki-careers@globallogic. com .
About Global Logic
Global Logic, 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.
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Principal AI Engineer IRC302972 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.
