Location: London (ideally 3+ day per week in the office in Farringdon, London)Job Type: Full-timeThe Company<a href="https://www.currence.ai/">Currence</a> aims to move the world towards a cleaner, cheaper and faster energy ecosystem. We are an AI-native market intelligence company, looking at the energy build-out, which combines the speed of AI with the trust of expert research.Our core product consists of a data engine which builds a comprehensive view of the market. This feeds into models and frameworks built by our analysts to create proprietary insights which drives modern investment decisions.We're headquartered in London and New York.The TeamWe are a product focused engineering team, consisting of a mixture of AI and full-stack engineers. We’re looking for technology generalists to join our team.This is a hands-on, delivery-focused role in a start-up environment. That means you'll wear many hats and will often be asked to implement and run projects you've never done before (ranging from training models, to building data pipelines, to monitoring evals, designing data schemas, setting up MCP servers, and maintaining infrastructure). It's a great environment for picking up and learning new skills.Tech StackWe work primarily with Python, SQL, TypeScript/React and are hosted on AWS. But don’t worry too much about having experience with the specific tech stack - we are generally looking for people with strong core engineering skills and principles. We are looking for polyglots who believe specific technologies are just tools for tackling problems.The RoleYou’ll be working across our AI back-end (Python, Dagster) and the data layer (Postgresql, Elasticsearch, Iceberg). The kind of problems you may cover include:<ul><li>Design, build, evaluate and deploy automations for agentic workflows, retrieval strategies, and LLM-powered data pipelines.</li><li>Creating evals for multi-step agent workflows</li><li>Add proactive intelligence inside the data pipelines from ingestion all the way to consumption</li><li>Create interfaces that make agent behavior easier to inspect, steer, and trust by internal users</li></ul>You can also expect to:<ul><li>Work closely with product, research and commercial teams to define what “good” looks like</li><li>Take ownership of our codebase, balancing high-quality code, security and speed of development</li><li>Own and drive forward PoCs and solve broad technical challenges</li></ul>The Essentials<ul><li>5+ years experience as a Software Engineer or equivalent</li><li>Experience in data and AI engineering deploying AI applications in production, including RAG pipelines, agent orchestration, and performance monitoring.</li><li>Proven history developing and maintaining production-grade software and systems</li><li>Wanting to work in a small fast-moving team with high ownership and impact.</li></ul>Big Plus<ul><li>Experience working with data pipelines at scale</li><li>Experience with cloud infrastructure (AWS), Dagster, Kubernetes, and high-throughput background processing</li><li>Working understanding of energy and climate tech sectors</li></ul>Application process<ul><li>Video call with the VP Engineering (30min)</li><li>In-person whiteboarding session (90min)</li><li>In-person / video call pairing session (60min)</li><li>References and offer</li></ul>Our Offer<ul><li>Opportunity to work and learn in a tech start-up environment</li><li>To help us make an impact in the race to net zero</li><li>The excitement and fun of being part of a growing, dedicated and professional start-up</li><li>Stock options</li><li>25 days annual leave + bank holidays</li></ul>Currence is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Currence is market intelligence to power the AI era. The company pairs an AI data engine with expert analysts to deliver proprietary market intelligence to the teams that finance and build the energy system.The largest infrastructure investment cycle in a generation is underway, driven by AI-fueled power demand, grid modernization, and industrial reshoring. But the teams making these decisions are stuck with bad tools: traditional research that's too slow, and generic AI that isn't trustworthy.Currence closes that gap by combining the trust of expert research with the speed of AI. Our AI data engine ingests thousands of public sources and connects them into one view of companies, projects, deals, technologies, policies, and costs. On top of that, our expert analysts build proprietary models that produce data you can't get anywhere else: modeled economics for every project, credibility scores for every pipeline, ranked leaderboards for every sector.

Senior Backend Engineer (AI)

About the Job

About the Company

Currence (fka Sightline Climate)

Similar Jobs

Senior Software Engineer (Back-End)

Senior Software Engineer (Back-End)

Senior AI Enablement Specialist

Senior AI Enablement Specialist

Senior AI Automation Engineer

Senior AI Automation Engineer

Senior Forward Deployed Engineer (AI)

Senior Forward Deployed Engineer (AI)

Senior AI Applied Engineer

Senior AI Applied Engineer

Senior / Staff Software Engineer, AI Systems & Platform

Senior / Staff Software Engineer, AI Systems & Platform

Senior Enterprise AI & Agent Architect

Senior Enterprise AI & Agent Architect

Senior AI Engineer

Senior AI Engineer

Staff AI Engineer

Staff AI Engineer

SENIOR PYTHON DEVELOPER (AI SOLUTIONS) (F/M/D)

SENIOR PYTHON DEVELOPER (AI SOLUTIONS) (F/M/D)