AI engineer for LLM systems

PA Consulting; Greater London; Ibrido; GBP 60.000 - 95.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working

Private healthcare

25 days annual leave

Pension scheme

Performance-based bonus

PA share ownership

Cycle to work

Descrizione del lavoro

PA Consulting seeks software engineers or data scientists who are passionate about AI to join our cross-functional teams. You’ll prototype and problem-solve with clients, whiteboard collaboratively, and experiment with LangChain, LlamaIndex, and other AI frameworks.

You’ll build RAG prototypes, develop agentic architectures on the Genie Platform, and explore MLOps tooling and cloud deployments across AWS, Azure, or GCP.

Competenze

• Software engineers with a passion for AI – or data scientists who’ve embraced engineering.
• People who experiment, prototype, and explore emerging AI tools in their own time.
• Strong foundation in a language suited to AI system development and data workflows.
• Experience integrating models with APIs, data sources, or production systems.
• Curiosity about LLMs, RAG pipelines, and agent frameworks.
• Understanding of cloud-native and DevOps practices.
• A collaborative mindset and willingness to share, learn, and teach.
• Understanding of prompt and context engineering and model evaluation.
• Solid grasp of distributed systems, microservices, and RESTful APIs.
• An understanding of LLMOps tools for managing GenAI workflows.

Mansioni

• Work to agile best practices and cross-functional with multiple teams and stakeholders.
• Live in-person whiteboarding sessions to problem solve as a team.
• Experimenting with Generative AI frameworks and tools.
• Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs.
• Developing and testing agentic architectures through our Genie Platform.
• Exploring LLMOps and model observability tools.
• Deploying solutions on cloud and DevOps environments with the right tools.
• Constantly learning, testing, and sharing findings across our AI community.

Conoscenze

AI engineering

Prototyping

Experimentation

REST APIs

Cloud platforms

DevOps

Team collaboration

Prompt engineering

Strumenti

LangChain

LlamaIndex

Hugging Face

OpenAI API

Anthropic API

Descrizione del lavoro

Описание

We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.

Задачи

• Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects


• Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams


• Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic.


• Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs.


• Developing and testing agentic architectures through our own Genie Platform - enabling AI agents that reason, retrieve, and act across systems.


• Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith.


• Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) - but always choosing the right tools for the problem at hand.


• Constantly learning, testing, and sharing findings across our internal AI community.

Требования

• Software engineers with a passion for AI – or data scientists who’ve embraced engineering.


• People who experiment, prototype, and explore emerging AI tools in their own time.


• Strong foundation in a language suited to AI system development and data workflows.


• Experience integrating models with APIs, data sources, or production systems.


• Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks.


• Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices.


• A collaborative mindset and willingness to share, learn, and teach.


• Understanding of prompt and context engineering and model evaluation.


• Solid grasp of distributed systems, microservices, and RESTful APIs.


• An understanding of LLMOps tools for managing GenAI workflows.

Условия

• Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.


• Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity.


• Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same


• Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring


• Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications


• Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.


• Health and lifestyle perks accompanying private healthcare for you and your family


• 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days


• Generous company pension scheme


• Opportunity to get involved with community and charity-based initiatives


• Annual performance-based bonus


• PA share ownership


• Tax efficient benefits (cycle to work, give as you earn)