Senior Ai Engineer

Burendo; Ledston; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Monthly Wellness Allowance

Annual Learning and Development Allow

Life Assurance

Employee Assistance Programme

Job summary

Burendo is a leading AI engineering consultancy focused on delivering impactful digital solutions. We seek engineers who thrive on building AI-enabled products and scalable systems across client work and internal initiatives.

Join our pragmatic, collaborative culture where continuous learning is valued, and you’ll contribute to cloud, data, and tooling work with AI layers, LLMs, and production-grade pipelines.

Qualifications

• A passion for engineering of AI-powered products and systems with modern AI layers and data pipelines.
• Experience with LLM integration, agent frameworks, and tool calls in production.
• Hands-on with cloud environments (AWS/Azure) and IaC (Terraform or equivalent).
• Familiar with CI/CD tooling for live products and night-to-night deployments.

Skills

AI engineering

LLM integration

Cloud environments

CI/CD pipelines

Infrastructure as code

Live product support

Data pipelines

Tools

Terraform

GitHub Actions

Azure DevOps

Job description

We’re an award-winning consultancy known for delivering exceptional products and services through technology. We work closely with organisations to help them accelerate value delivery and create outstanding customer experiences. Our purpose is simple: to empower organisations to make a real difference for people, society, and the planet through technology that’s efficient, user-friendly, and solves problems fast.

At Burendo, we believe that together, we can achieve incredible things.

What sets us apart is how we work. We pride ourselves on having a pragmatic attitude to delivery—we think big, plan practically, adapt quickly, and always focus on results, no matter how complex the challenge. We’re passionate about making great things happen by embracing innovation, challenging the status quo, and fostering collaboration at every step. At Burendo, caring for people is at the heart of what we do. We value partnerships, listen to different viewpoints, and believe in treating everyone fairly. And, we love to share what we learn—using our expertise to help others grow and empowering organisations to succeed in the long term.

Great engineers come from many different backgrounds and are specialists in many different areas. At Burendo, we look for people who want to contribute to all areas of the tech stack and get involved in all stages of the software development lifecycle.

Join Burendo and make AI engineering the core of your day to day, across client work, internal builds, and bids.

Requirements

These are the things we value most at Burendo, we can teach skills, but our behaviours forge the culture we strive for.

• A passion for engineering and AI, and a desire to keep learning
• A focus on writing clear, concise code that's easy to maintain, and being pragmatic when required, avoiding unnecessary "gold plating," including knowing when an AI solution isn't the right answer
• An understanding that quality is everyone's responsibility
• Comfortable working with others in pairing or mobbing scenarios
• A good communicator who shares our values of openness and respect
• A DevOps mentality, meaning that you don't want to chuck code over the fence, and you are keen to be involved right through to delivering the code to the customer

We believe every engineer should have a fundamental understanding of development, infrastructure, and testing and therefore you'll need at least some of these skills to help you pick the role up quickly. Burendo is invested in the growth of our consultants and provide a healthy self-development budget you can use to grow in the areas mentioned below, or any other of your choosing!

The must haves:

• Experience engineering products or systems with AI layers, including LLM integration, agents, APIs, and data pipelines, either adding this to an existing product or building it into a new one
• Experience designing RAG architectures, including retrieval strategy, chunking, and grounding
• Experience working within cloud environments, specifically AWS or Azure (or both)
• A fundamental understanding of infrastructure as code with Terraform or an equivalent
• Experience working with CI/CD pipelines such as GitHub Actions, GitLabCI, Jenkins, or Azure DevOps
• Experience supporting a live product
• Experience with database technologies, including vector databases and embeddings
• Experience testing and monitoring AI output quality systematically, including golden datasets, regression checks, and automated scoring

And it would be great if you have any of these:

• Good understanding of and experience with agile methodologies
• Experience shipping production agentic or LLM based systems, including tool and function calling, state and memory management, control flow (branching, loops, retries), and human in the loop checkpoints, using a framework such as LangChain/LangGraph, Amazon Bedrock AgentCore, CrewAI, LlamaIndex, Strands Agents, Google ADK, or OpenAI Agents SDK.
• Familiarity with MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources
• Basic data pipeline or ETL experience feeding data into AI systems
• Awareness of AI specific security, compliance, and governance considerations (data handling, model risk, responsible use policy), particularly relevant given our regulated sector clients
• Experience monitoring AI system performance and cost in production
• Awareness of fine tuning, when and why it's used, even without hands on experience

These are the little bit extra, cherry on top skills that will help you stand out. Still give us a shout if you haven't currently got these skills though!

• Experience working in the public sector, health, or another regulated industry
• Experience working in a technology or consulting company
• Involvement in community building via blogs, online sites, meetups, or other means
• Experience in a client facing consulting or advisory capacity
• An additional day of paid leave for celebrations
• 1 additional day of holiday after 2 years' service (26 days total) and another 2 days after 5 years (28 days total)
• Monthly Wellness Allowance
• Annual Learning and Development Allowance
• Paid time off for Life Events
• Life assurance based on 4 x your salary
• Access to an Employee Assistance Programme
• Eligibility for a 6-month sabbatical after 3 years’ service
• Enhanced Family Leave
• Enhanced company sick pay
• A range of optional Salary Sacrifice benefits (inc EV Scheme, Home and Tech, Cycle to Work and Pension)
• Exciting calendar of Burendo social events and activities

We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, nationality, ethnic or national origin, religion or belief, sex or sexual orientation

As a proud supporter of the Armed Forces Covenant, we welcome all applications from members of the Armed Forces Community.