AI Solutions Engineer (Staff)
Role details
Job location
Tech stack
Job description
Build and maintain autonomous agent-based solutions that generate real impact to our internal teams, enabling them to better serve our customers
- Design, architect & deliver AI solutions: Partner with technical and business teams to develop new AI solutions
- Own the end-to-end lifecycle: Take responsibility for the journey from design through experimentation, deployment, user adoption, impact measurement and continuous iteration
- Mentor and scale expertise: Act as a technical leader, coaching engineers within the team, establishing best practices, and offering technical guidance
- Collaborate cross-functionally: Ensure that solutions meet user requirements, deliver impact across the organisation, and remain aligned with other engineering squads
Requirements
Do you have experience in TypeScript?, * Proven Staff-Level experience: 6-7 years in software engineering, with a strong understanding of Applied AI fundamentals and experience working in cross-functional product teams
- Expertise in:
- System architecture: Proven ability to design, implement, and maintain complex RAG pipelines and solution architectures, ensuring low latency and high relevance in information retrieval
- AI Orchestration: Proven experience in developing embeddings, MCPs, and agentic workflows, enabling robust, secure and scalable AI-driven systems
- Required engineering skills: Proficient in Python and TypeScript with AWS cloud, with experience building APIs, microservices, and cloud-native applications
- Growth mindset: You're curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture
Benefits & conditions
- Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
- Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
- Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
- Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked!
Our Commitment to Diversity, Equity and Inclusion
We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).
For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.
