Tech Lead with AI

N-iX; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services company in the UK is looking for a Tech Lead to drive the technical strategy of their AI-powered document processing platform. The ideal candidate will lead engineering teams, define architecture, and ensure the delivery of high-performance microservices. Candidates should have at least 8 years of experience in software engineering, 3 years in a Tech Lead role, and strong expertise in Google Cloud and modern programming languages like Java or Python. This role offers flexibility for remote or hybrid work arrangements.

Benefits

Flexible working format

Competitive salary and compensation package

Personalised career growth

Education reimbursement

Corporate events and team building activities

Qualifications

• 8 years of experience in software engineering with at least 3 years in a Tech Lead role.
• Hands-on experience with microservices and cloud-native architectures.
• Strong understanding of software engineering principles, such as scalability and reliability.

Responsibilities

• Define technical vision and architecture for the platform.
• Lead engineers and conduct code reviews for adherence to standards.
• Oversee the technical delivery lifecycle and build microservices.

Skills

Software engineering experience

Cloud-native architectures

Microservices

Java

Python

Agile delivery

Good communication skills

Tools

Google Cloud Platform

CI/CD pipelines

Vertex AI

Job description

Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple businesses within the wider banking group. The platform leverages modern cloud and AI technologies to transform legacy workflows, enhance data quality and accelerate digital decision-making.

Position Overview

We are looking for a Tech Lead with strong hands‑on engineering expertise and proven experience leading agile software development teams. The ideal candidate will define and drive the technical strategy of the platform, guide engineers in delivering scalable and secure systems and actively contribute to architectural decisions and solution design.

Key Responsibilities

• Define and communicate the technical vision, architecture and engineering roadmap for the team and platform.
• Lead engineers conduct code reviews, provide architectural guidance and ensure adherence to engineering standards.
• Lead the technical delivery lifecycle from design and development to deployment and maintenance.
• Build scalable, high‑performance microservices and APIs using modern frameworks and cloud‑native design principles.
• Oversee integration of AI components using Google Cloud Vertex AI Gemini models and LLM evaluation frameworks.
• Promote test‑driven development, automate testing pipelines and ensure robust, maintainable code.
• Work with product managers, architects, BAs and business teams to translate business needs into technical solutions.
• Contribute to product strategy, identify technical opportunities and propose improvements to shape future releases.
• Drive best practices for cloud infrastructure security, observability and performance optimisation on Google Cloud.

Requirements

• 8 years of experience in software engineering with at least 3 years in a Tech Lead role.
• Strong background in software / platform / database design in data‑heavy or distributed environments.
• Hands‑on experience with microservices and cloud‑native architectures.
• Proficiency in at least one modern language (e.g. Java, Kotlin, Python, TypeScript, Go).
• Solid experience with Google Cloud Platform (GCP).
• Experience with Vertex AI (training, orchestrating, deploying models).
• Demonstrated experience with Gemini models or comparable LLM architectures.
• Familiarity with LLM‑as‑a‑judge evaluation, prompt engineering, RAG patterns or AI validation techniques.
• Experience implementing automated testing frameworks, CI/CD pipelines and TDD/BDD practices.
• Strong understanding of software engineering principles: scalability, performance, reliability, observability.
• Proven experience leading engineering teams in agile delivery environments.
• Advanced English and excellent communication skills, with the ability to work with both technical and non‑technical stakeholders.

Nice to Have

• Prior exposure to document processing platforms (OCR, NLP or workflow automation).
• Experience in financial services or other regulated industries.
• Familiarity with architectural frameworks (C4 modeling, DDD, event‑driven systems).

We Offer

• Flexible working format – remote, office‑based or hybrid.
• A competitive salary and good compensation package.
• Personalised career growth.
• Professional development tools (mentorship, tech talks, training centres of excellence, etc.).
• Active tech communities with regular knowledge sharing.
• Education reimbursement.
• Memorable anniversary presents.
• Corporate events and team building activities.
• Other location‑specific benefits.
• Not applicable for freelancers.

Employment Type

• Full Time
• 1 Vacancy