Software Engineer

Future_find; Liverpool; On-site; GBP 80,000 - 100,000; Full time

Job summary

An innovative technology firm in Liverpool seeks a Technical Co-Founder / CTO to take ownership of an AI-native Talent Acquisition platform. You will define its technical direction, enhance the architecture from MVP to an industry leader, and lead the development of AI-driven systems for candidate sourcing. This role demands senior engineering experience, strong strategic capabilities, and proficiency in cloud-based SaaS architectures. Competitive equity compensation offered with a vesting period.

Qualifications

• Senior-level engineer with significant ownership experience.
• Hands-on execution responsibility in software development.
• Proven track record in scaling production SaaS platforms.

Responsibilities

• Own the technical architecture of the AI-native platform.
• Lead AI-driven scoring and decision systems development.
• Design advanced search and retrieval systems.

Skills

REST and/or GraphQL APIs

Python (FastAPI)

Node.js (TypeScript / NestJS)

Multi-tenant system design

Event-driven architectures

LLM APIs integration

Scoring and ranking systems

Vector search and embeddings

AWS-based SaaS platforms

Infrastructure-as-Code using Terraform

Job description

Salary: Equity only (to start) - with vesting period. Commercial relationships to be discussed during interview period.

Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place

The Role

We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies.

The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system.

Core Responsibilities

• Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure
• Lead development of AI-driven scoring, ranking, and decision systems
• Design and evolve advanced search and retrieval systems beyond keyword matching
• Build and scale API-first, multi-tenant backend services
• Lead development of video, voice, and interview analysis tooling within the platform
• Drive the transition from third-party LLM usage toward custom and fine-tuned models
• Ensure platform security, data protection, and GDPR-aligned system design
• Establish engineering standards, CI/CD workflows, and operational best practices
• Act as technical counterpart to product, commercial, and investor conversations
• Manage technical / dev responsibility for any contractor arrangements in place.

Technical Requirements

• Strong experience designing REST and/or GraphQL APIs for production SaaS platforms
• Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS)
• Deep understanding of multi-tenant system design, permissions, and role-based workflows
• Event-driven architectures using webhooks, queues, and async processing

AI, Search & Data Systems

• Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent)
• Design and implementation of scoring, ranking, and weighted evaluation systems
• Experience with vector search, embeddings, and semantic retrieval
• Practical use of RAG architectures, prompt pipelines, and structured outputs
• Strong understanding of model evaluation, explainability, and output validation
• Experience with fine-tuning or training models (open-source or proprietary)
• Understanding of model lifecycle management, data pipelines, and inference optimisation
• Familiarity with moving from API-based LLMs to self-hosted or private models
• Experience working with video, audio, or real-time communication systems
• Familiarity with speech-to-text, audio processing, or conversational AI pipelines
• Comfort designing systems that support AI analysis of recorded interactions
• Strong experience with AWS-based SaaS platforms, including:
• ECS Fargate
• Application Load Balancers
• IAM, KMS, Secrets Manager
• CloudWatch logging and alerting
• Infrastructure-as-Code using Terraform
• Secure, scalable deployment and environment management
• CI/CD pipelines, automated testing, and release workflows

Experience & Profile

• Senior-level engineer with end-to-end ownership experience
• Hands on execution responsibility
• Proven track record building or scaling production SaaS platforms
• Comfortable operating across architecture, hands-on coding, and strategic decisions
• Strong product intuition with an ability to translate abstract requirements into systems
• Experience working in early-stage or high-ownership environments
• Clear communicator capable of partnering closely with a non-technical founder

Nice to Have

• Prior experience as a founder, early CTO, or lead architect
• Background in search, recommendation systems, or decision engines
• Experience with regulated or sensitive data environments
• Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms
• Experience building internal admin tools and operational dashboards

There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below.

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We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.