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Job Description

Lead Software Engineer

London, Marylebone (Hybrid / Onsite) Competitive salary + significant equity

Do you want to build the "Force Multiplier" for a £400B industry?

We are at the forefront of the shift toward Agentic AI —systems that use reasoning loops to independently execute complex business processes. At Prolo, one engineer building an effective agentic fleet can automate the output of an entire traditional department.

This is a rare opportunity to join a category-defining, seed-funded startup from the ground up, where your work won’t just ship features—it will redefine how millions of professionals in the construction industry plan and operate.

Why Join Prolo?

Founding Team Impact: Shape the product, architecture, and engineering culture from day one.

Technical Depth: Work with cutting-edge AI (OpenAI, Semantic Kernel), graph databases (Neo4j), and modern infrastructure.

Competitive Compensation: Benefit from a competitive salary plus significant equity as an early stakeholder.

Domain Expertise: Gain deep insights into the £400B+ UK construction industry while delivering real business impact.

Fast Iteration: Ship to production daily, receive direct user feedback, and see your work in customers' hands immediately.

Growth Opportunity: Lead and scale engineering practices as we grow, with the potential to lead specialized teams.

Collaborative Environment: Work directly with the founders and have a seat at the table for product strategy.

Modern Stack: No legacy baggage—build with best-in-class tools from the start.

About Prolo

We’re reinventing procurement for the construction industry using AI. Our conversational platform allows customers to source materials effortlessly across chat, email, and phone, saving time and money with zero setup. We are a small, ambitious team that moves fast and values high-trust collaboration.

The Role

As a Lead Engineer, you will be our technical authority on Agentic AI . You will design and deploy sophisticated multi-agent systems, proving concepts through rapid prototyping and scaling them into production-grade solutions.

Key Responsibilities:

Agentic AI Engineering: Develop multi-agent systems using frameworks like LangGraph or CrewAI for autonomous research and automated coding.

Advanced RAG & Memory: Build sophisticated Retrieval-Augmented (RAG) pipelines and long-term model memory.

Model Optimization: Fine-tune open-source models (e.g., Llama 3/4) to reduce latency and operational costs.

LLMOps: Implement automated "Evals" to measure hallucination rates and tool-calling accuracy.

Technical Leadership: Architect scalable, secure applications and advocate for best practices in automation and continuous integration.

What We’re Looking For

Expert Python & TypeScript: Deep proficiency in Python for production AI and strong technical fluency in TypeScript.

AI Frameworks: Hands-on experience with some of the following LangChain/LangGraph, LlamaIndex, PyTorch , and FastAPI .

Modern Infrastructure: Experience with AWS Bedrock/SageMaker and using Docker/Kubernetes to scale agent instances.

RAG Expertise: Proven experience building RAG systems; experience with Graph-RAG (e.g., Neo4j) is a major plus.

Production Pedigree: Demonstrable experience owning the design and delivery of complex AI systems in live customer environments.

Apply today and help us build the future of construction at Prolo.

Prolo Ltd is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds.

NO AGENCIES PLEASE

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.