Senior Software Engineer - Backend, Infra, or AI Systems

Talent Search PRO; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology recruitment company in the United Kingdom is seeking an experienced engineer to join their high-caliber team focused on building core infrastructure for AI systems. The role involves developing orchestration and execution logic for scalable systems, contributing to automated data integration, and creating pipelines for LLMs. Ideal candidates will have strong Python skills and experience in backend and AI engineering. This position offers a dynamic environment with opportunities for rapid growth.

Qualifications

• 3+ years of experience in backend, infra, or AI systems engineering.
• Strong Python programming skills required.
• Familiarity with LLM frameworks and vector databases essential.

Responsibilities

• Build orchestration and execution logic for scalable autonomous systems.
• Contribute to automated systems integrating structured and unstructured data.
• Develop pipelines combining LLMs with reasoning and memory.

Skills

Python skills

Experience in backend, infra, or AI systems engineering

Familiarity with LLM frameworks

Experience with data infrastructure

Tools

LangChain

LlamaIndex

Chroma

Pinecone

Weaviate

Job description

Requirements

• 3+ years of experience in backend, infra, or AI systems engineering
• Strong Python skills
• Familiarity with LLM frameworks and vector DBs
• Experience with data infrastructure and cloud
• Startup-ready
• Builder mindset

Job Description

Join a high-caliber team to build core infrastructure for AI systems, focusing on agent orchestration, semantic data layers, and reasoning engines using Python and LLM frameworks.

Join our small but high-caliber engineering team and help build the core infrastructure behind our agentic systems. This is a hands-on role for someone excited to ship quickly, solve complex problems, and grow into new responsibilities as the company scales.

What You’ll Work On:

• Agent infrastructure: Build orchestration, memory, and execution logic for scalable autonomous systems using Python and open-source LLM frameworks (LangChain, LlamaIndex, etc).
• Ontology & semantic data layers: Contribute to our automated systems that connect structured and unstructured data into a unified “data brain.”
• Reasoning engines: Help develop pipelines that combine LLMs with symbolic reasoning and long-term memory.
• Data infrastructure: Build and maintain metadata stores, data connectors, ETL, and vectorized storage (Chroma, Pinecone, Weaviate).
• Full-stack contributions: Ship APIs and basic frontends when needed to move fast and gather customer feedback.