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AI Software Engineer

BGBx
Manchester

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Job details

£65,000 - £75,000 a year
2 days ago

Qualifications

Azure
Law
Master's degree
JavaScript
APIs
Middleware
AI
TypeScript
Python

Full job description

About Us

At BGBx, we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges.

Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle. The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day.

If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx.

AI Software Engineer

POSITION SUMMARY

The AI Software Engineer designs, develops, and improves the AI-enabled applications, agents, copilots, integrations, and workflow automations that bring BGB's AI operating vision to life. This role converts product requirements and business workflows into working software that supports operational efficiency, knowledge management, content workflows, claims reuse, strategic planning, production standardization, and measurement. The engineer is responsible for building solutions that are usable, maintainable, governed, and ready to scale across agency teams.

The AI Software Engineer designs and builds the internal AI applications, agents, skills, and integrations that turn strategy into repeatable execution.

Primary Mission

Create production-ready AI solutions that automate high-value workflows and improve speed, quality, consistency, and reuse.

Key Partners

AI Product Manager, Agentic Platform Architect, UX/UI, Medical, Strategy, Editorial, Production, Analytics, functional SMEs, implementation partners.

Success Measures

Working agents and apps, workflow cycle-time reduction, adoption, reusable components, quality checks, measurable efficiency, and safe handoff to teams.

Responsibilities

Build and maintain internal AI-enabled applications, agents, copilots, workflow automations, GPT skills, and reusable service components.
Develop core capabilities connected to the AI operating model, including Orchestration Engine workflows, Claims Library functionality, Cortex/memory use cases, 3D Science strategic tools, editorial/copy assistance, and production automation.
Develop integrations between LLM platforms, enterprise systems, data sources, content repositories, project workflows, design tools, analytics platforms, and knowledge bases.
Build RAG systems, prompt orchestration workflows, AI service layers, embedding pipelines, structured output patterns, and reusable agent tools.
Develop APIs, middleware, backend services, event triggers, data connectors, and automation logic that allow agents to operate across systems safely and consistently.
Implement guardrails, validation logic, hallucination checks, source attribution, human-in-the-loop review, approval routing, permissions, and governance controls.
Optimize prompt workflows, model selection, latency, performance, reliability, cost efficiency, and token usage for production-level AI workflows.
Collaborate with Product, UX, SMEs, and end users to prototype, test, refine, and scale AI solutions that solve real workflow needs.
Participate in architecture reviews, sprint planning, code reviews, QA processes, documentation, and release management.
Maintain reusable code libraries, prompt templates, evaluation scripts, agent patterns, and technical documentation that accelerate future AI development.

Qualifications

5+ years of software engineering experience, preferably in enterprise applications, automation platforms, data-driven products, or AI-enabled tools.
Experience using AI/LLM APIs such as OpenAI, Anthropic, Azure OpenAI, or comparable platforms.
Proficiency in Python, TypeScript, JavaScript, or other modern software engineering languages and frameworks.
Experience building APIs, middleware, backend services, cloud-based applications, and secure integrations with third-party systems.
Familiarity with vector databases, embeddings, RAG architecture, agent frameworks, prompt engineering, structured outputs, and AI evaluation methods.
Understanding of software quality practices, testing, monitoring, CI/CD, security controls, and maintainable documentation.
Ability to partner with non-technical stakeholders and translate workflow pain points into practical AI-enabled software solutions.
Demonstrated experience using AI tools as an active part of your development or product workflow
Converts BGB's AI vision into tangible products, workflows, and agents that teams can actually use.
Supports the move from manual, labor-intensive execution to standardized, AI-assisted and agentic delivery.
Creates reusable technical patterns that help the agency improve margin, consistency, speed, and knowledge reuse over time.

Salary Range: £65,000 - £75,000 GBP

BGBx is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status or any category or class of person protected by law.

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