Pre-Sales Senior Engineer - Energy Retail
Listed on 2026-03-06
-
Software Development
AI Engineer, Software Engineer
Job title:
Pre-Sales Senior Engineer - Energy Retail
Location:
London/Bristol - Hybrid
Salary: £56,000 - £70,000
Team:
Commercial
Reporting To:
Head of Client Solutions
Closing date for applications:
Monday 16th February 2026
This role is based in London or Bristol and requires existing right to work in the UK. At this time, we are not able to offer visa sponsorship for this role. We are committed to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. We encourage you to keep an eye on our careers site to stay informed about future opportunities where we are able to offer visa sponsorship.
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future. Our platform orchestrates millions of real‑time decisions across homes, devices, markets and grids. By combining predictive algorithms with human‑centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life. With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
Whatwill I be doing?
As a Senior Pre‑Sales Engineer, you are a “developer‑plus” technical contributor. You are responsible for building high‑quality mock backends, APIs, and demo infrastructure, but with a unique twist: you leverage LLMs and Generative AI to prototype at high velocity. This role sits at the critical boundary between Product Engineering and Go‑to‑Market. While you won’t build production systems, you will build “production‑shaped” assets: reusable, well‑structured, and documented services that enable credible technical storytelling and high‑fidelity client validation.
- AI‑Accelerated Prototyping:
Leverage LLMs (e.g. Claude and Gemini) to rapidly scaffold, build, and iterate on proof‑of‑concept apps and mock services. You move faster than a traditional sprint by using AI to handle the “heavy lifting” of boilerplate and logic generation. - Technical Asset Development:
Design, build, and maintain reusable mock services in Node.js / Type Script. You’ll implement contract‑first APIs (REST/Graph
QL), manage AWS deployments (API Gateway, Containers), and handle persistence using Postgre
SQL or Dynamo
DB. - Infrastructure as Code:
Manage demo environments using Terraform, ensuring environments are reproducible and secure using existing OIDC authentication patterns. - Frontend
Collaboration:
Work closely with frontend engineers to ensure UI components point cleanly to your mock services, debugging integration issues and supporting end‑to‑end demo flows. - Strategic Pre‑Sales Support:
Partner with Pre‑Sales consultants to translate client “win themes” into working technical artefacts. You will occasionally demo directly to clients, showcasing how Kaluza solves their specific retail challenges. - Product & UX Influence:
Collaborate with Design and Product teams for UI direction while developing your own design ideas to make Kaluza’s capabilities shine. - Mentorship & Standards:
Set informal engineering standards for the pre‑sales team, mentoring others on API design and architecture. - AI Evangelism:
Act as the resident expert in GenAI workflows for the Commercial team, mentoring others on how to use AI to bridge the gap between “slide‑ware” and “software.”
- A pure presentation‑led role (you will be writing code regularly).
- Shipping production code (your value comes from building things that work for a demo, not maintaining production SLOs).
You are a software engineer by trade but a prototyper by heart. You understand the rigour of clean code but know when to lean into AI to accelerate delivery. You are motivated by the immediate impact of winning new clients and validating Kaluza’s value proposition in real‑time.
- Software Engineering Foundation:
Strong hands‑on experience in Node.js / Type Script and React. - GenAI Power User:
Deep experience leveraging LLMs and Generative AI to build apps, debug complex…
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