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Head of Engineering AI Platform Architect

Role overview

Qualifications

  • Hands-on experience delivering LLM-based systems
  • Strong cloud-native, full-stack engineering background
  • MLOps skills (MLflow, BentoML, Kubeflow, drift detection)
  • Experience building secure, compliant SaaS platforms

Responsibilities

  • Deploy LLMs and build RAG pipelines (LangChain, Haystack, Hugging Face)
  • Design backend services (Python/Go), frontend (React.js/Next.js), APIs (REST/GraphQL)
  • Build secure infrastructure (Kubernetes, Terraform, AWS/GCP, CI/CD)
  • Integrate ETL/data pipelines (Kafka/Spark), manage storage (PostgreSQL, MongoDB)

Key facts

Hard skills

Other skills

  • Leadership
  • Team Management

About the company

Eliden logo

Eliden

Digital Transformation Consulting

Our expert knowledge of design, development and the assurance of IT change, has allowed us to build up a pool of candidates best suited to the short, medium or longer term needs of your organisation. Coupled with our specific approach to pre-vetting we can ensure that all of our candidates fit seamlessly into your workforce

Company details

Company typeStartup
IndustryDigital Transformation Consulting
Company size11-50

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Job description

Head of Engineering AI Platform Architect

Remote (UK timezone)
Equity-Only (Pre-Seed Actively Raising)
Learn more: https://www.vision-ix.com

About Visionix Predict

We're building a next-generation AI-driven operational-intelligence platform that goes beyond dashboards.

Our sector-trained Neural Core micro-agents will use live signals, domain logic, and LLM-based reasoning to detect misalignment across people, systems, and strategic outcomes and trigger automated resolution before issues escalate.

Backed by UK, a consultancy specialising in digital transformation assurance and Enterprise Architecture, Visionix Predict is attracting early traction from leaders in government, finance, and infrastructure.

Current Roadmap

Our MVP is currently in development, with beta pilots already lined up.

We're currently delivering:

  • A first-gen agent orchestration layer, powered by GPT-class LLMs

  • A RAG-based intelligence framework using vector DBs (e.g. Pinecone, Weaviate)

  • Secure, multi-tenant infrastructure with full audit traceability

  • Lightweight dashboards for signal visibility and governance workflows

Later phases will scale across sectors and geographies, enabling live assurance across operations, strategy, and regulatory performance.

The Role

This is a founding engineering position. You will co-architect and build the platform alongside our CAIO (who owns AI logic and micro-agent design).

You will take ownership of the stack, delivery, and manage both internal and external engineers as the build progresses.

What You'll Do

  • Deploy LLMs and build RAG pipelines (LangChain, Haystack, Hugging Face)

  • Design backend services (Python/Go), frontend (React.js/Next.js), APIs (REST/GraphQL)

  • Build secure infrastructure (Kubernetes, Terraform, AWS/GCP, CI/CD)

  • Integrate ETL/data pipelines (Kafka/Spark), manage storage (PostgreSQL, MongoDB)

  • Implement RBAC, logging, and AI performance monitoring

  • Lead internal engineers and manage third-party delivery partners

You Bring

  • Hands-on experience delivering LLM-based systems

  • Strong cloud-native, full-stack engineering background

  • MLOps skills (MLflow, BentoML, Kubeflow, drift detection)

  • Experience building secure, compliant SaaS platforms

  • Ability to lead small internal teams and oversee external developers

  • Bonus: background in govtech, fintech, healthtech, or regulated AI

Compensation

Equity-Only until funding closes (Pre-Seed Actively Raising)
We are currently raising our pre-seed round. This role is equity-only during the fundraising phase, with a structured vesting model and meaningful upside tied to delivery and funding milestones.

  • Equity: 0.75% 1.5%

  • Vesting: 4 years, 1-year cliff

  • Milestone accelerators: tied to MVPs, pilots, and funding

  • Status: Credited as a founding team member, shaping the platform, delivery, and technical culture

Apply Now

Send us:

  • Your CV or LinkedIn profile

  • A short note explaining your AI or platform delivery experience

  • (Optional) GitHub or architecture samples

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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