AI Engineer

Posted 3 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Mid level
Information Technology
The Role
Design, build, and maintain services and infrastructure for AI-powered agents. Develop Python backend services and tested APIs, support React front-end integrations, work with MySQL, implement RAG and vector DBs, apply prompt engineering, optimise LLM interactions, and monitor production reliability and performance.
Summary Generated by Built In

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

We seek an AI Software Engineer to join our growing team. This team owns and operates a core service that runs AI-powered agents and their associated infrastructure, ensuring reliability, scalability, and ease of use for internal and external stakeholders. You’ll work across backend systems, front-end integration, and AI/ML workflows, with opportunities to expand your expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and large language model (LLM) interactions.

Your Impact

  • Design, build, and maintain services and infrastructure that manage AI-powered agents.
  • Develop backend services in Python, with comprehensively tested and self-documented APIs.
  • Work with Agentic AI frameworks and implement prompt engineering best practices to build scalable foundational platform.
  • Work with relational databases (MySQL) to store, query, and optimise structured data.
  • Collaborate with product and research teams to refine and implement the product roadmap.
  • Support front-end teams using React/JS components and wrappers for AI-driven experiences.
  • Learn, apply, and optimise RAG systems, including vector databases, embeddings, and document chunking strategies.
  • Build a practical understanding of how large language models (LLMs) work and deepen expertise in effective interactions with LLMs for agent orchestration.
  • Monitor, debug, and optimise system performance, ensuring high reliability in production environments.

Your Skills

  • Strong proficiency and experience working with Python-based services
  • Hands-on experience with relational databases (MySQL or similar).
  • Familiarity with React and ability to support front-end AI integrations.
  • Basic understanding of large language models and eagerness to expand knowledge.
  • Demonstrated interest or experience in prompt engineering and working with LLMs.
  • Strong problem-solving, debugging, and collaboration skills.

Desirable

  • Prior experience with vector databases (Pinecone, Weaviate, FAISS, etc.).
  • Knowledge of retrieval-augmented generation (RAG) pipelines.
  • Experience with AI/ML infrastructure or agent frameworks.
  • Familiarity with cloud environments (AWS, GCP, Azure) and containerised deployments (Docker, Kubernetes).

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.  

Fraud Recruitment Disclaimer  

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not:  

  • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.   
  • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.  

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action in relation to the correspondence.   


Skills Required

  • Proficiency and experience working with Python-based services
  • Hands-on experience with relational databases (MySQL or similar)
  • Familiarity with React and ability to support front-end AI integrations
  • Basic understanding of large language models (LLMs) and eagerness to expand knowledge
  • Demonstrated interest or experience in prompt engineering and working with LLMs
  • Strong problem-solving, debugging, and collaboration skills
  • Prior experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Knowledge of retrieval-augmented generation (RAG) pipelines
  • Experience with AI/ML infrastructure or agent frameworks
  • Familiarity with cloud environments (AWS, GCP, Azure) and containerised deployments (Docker, Kubernetes)

Anaplan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anaplan and has not been reviewed or approved by Anaplan.

  • Strong & Reliable Incentives Earnings potential in sales is considered good or fair, with on‑target earnings achievable when plans are met. This indicates variable pay can meaningfully boost total compensation when targets are hit.
  • Healthcare Strength Medical, dental, and vision coverage are described as strong, complemented by mental‑health resources and EAP support. Company‑wide paid wellbeing days reinforce the health and wellness focus.
  • Parental & Family Support Equitable parental and caregiver leave are highlighted alongside fertility and adoption support. Family‑forming programs such as Carrot are part of the offering.

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The Company
HQ: San Francisco, CA
2,194 Employees
Year Founded: 2006

What We Do

Anaplan is building a future where connected leaders and teams are able to constantly adapt, transform and reinvent their businesses. We make it possible to share actionable insights, empower and unleash creativity, and drive innovation. With Anaplan, finance and operational leaders across the organization can model complex scenarios, forecast continuously with added intelligence, and make agile decisions with confidence.

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