Offer summary

Qualifications:

Hands-on experience with LLM-based systems., Strong full-stack engineering skills in cloud-native environments., Experience with MLOps tools like MLflow and Kubeflow., Ability to lead small engineering teams and manage external partners..

Key responsibilities:

Co-architect and build the AI platform with the CAIO.

Take ownership of the technology stack, delivery, and team management.

Deploy LLMs and develop RAG pipelines using tools like LangChain and Hugging Face.

Design and implement backend, frontend, APIs, and secure infrastructure.

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