Founding Engineer (Agentic Systems & AI Infrastructure) - Fully Remote in London

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

Title: Founding Engineer (Agentic Systems & AI Infrastructure)

Location: Remote | Full-Time | Founding Team

About the Company

An early-stage AI infrastructure startup is building a next- operating system for data—combining dynamic ontology engines with advanced agentic systems capable of autonomous, transparent workflow execution. Backed by tier-one investors and already partnering with global enterprises, the company is defining a new category of AI middleware.

Role Overview

As a Founding Staff Engineer, you’ll take end-to-end ownership of core AI infrastructure and help shape the technical foundation from the ground up. This role is highly hands-on, working directly with the founding team to architect agent systems, semantic layers, reasoning engines, and distributed runtime environments.

What You’ll Work On

• Agent Infrastructure: Orchestration, memory, task planning, and execution logic using Python and open-source LLM frameworks.
• Ontology & Semantic Systems: Automated layers that unify structured and unstructured data.
• Agent Runtime: Planning, tool execution, distributed system observability, and robust runtime workflows.
• Data Infrastructure: Metadata systems, connectors, ETL pipelines, and vectorized storage.
• Reasoning Engines: Hybrid LLM + symbolic pipelines, task decomposition, and long-term memory.
• Engineering Culture: Define standards for code quality, system design, and technical velocity while contributing to early hiring.

What You Bring

• 5+ years in backend, infrastructure, or AI systems engineering.
• Strong Python skills plus experience with LLMs, vector DBs, LangChain, or custom agent tooling.
• Background in agentic systems, reasoning pipelines, or semantic/ontology-based architectures.
• Familiarity with knowledge graphs, schema reconciliation, or semantic modeling.
• Experience across modern data infrastructure (e.g., dbt, BigQuery, Airflow) and cloud environments (AWS/GCP).
• Prior startup or early-stage experience; strong preference for candidates who have built AI or data infrastructure at scale.
• A builder mindset: fast, hands-on, customer-centric, and comfortable operating in ambiguity.

Why Join

• Work on frontier AI infrastructure with real enterprise adoption.
• Founding-level ownership and decision-making influence.
• Move fast and solve complex technical problems with minimal bureaucracy.
• Backing from leading US and European investors with a $M

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.