Amplytic

About the Company

Amplytic is the AI asset manager for renewable energy portfolios. We help IPPs, investors, and asset managers cut through complexity in wind, solar, and storage operations—delivering 10x faster workflows and improved investment returns. Asset managers spend days buried in 100s of contracts, scattered data, and spreadsheets just to answer basic questions. Amplytic changes that with one platform for contract intelligence, automated revenue monitoring, and regulatory analysis. You can hand it tasks, fire quick questions, and focus on what truly moves the numbers. Instead of firefighting, you get evidence-backed answers in minutes: analyse any issue’s contractual and financial impact, catch revenue leakage before it erodes yield, and generate compliance-ready reports. We're building the AI infrastructure that lets renewable energy scale efficiently—because the energy transition shouldn't be slowed down by spreadsheets.

Listed Jobs

Company Name

Amplytic

Job Title

Founding Engineer

Job Description

Job title: Founding Engineer Role Summary: Lead the design, development, and scaling of Amplytic’s AI‐powered infrastructure for renewable energy asset management. Own core systems, drive technical strategy, and collaborate with cross‑functional teams to accelerate product innovation. Expectations: - Take complete ownership of engineering initiatives from concept to production. - Deliver high‑impact features rapidly in a fast‑paced startup environment. - Influence product roadmap and technical vision with clear, data‑driven decisions. - Communicate transparently, challenge assumptions, and drive continuous improvement. Key Responsibilities: - Architect and implement scalable, cloud‑native software that processes real‑time operational, contractual, and regulatory data. - Develop AI/ML models for asset performance prediction, compliance tracking, and revenue optimization. - Optimize system performance, reliability, and cost across AWS, Azure, or GCP. - Collaborate with product, data science, and operations teams to translate business requirements into technical solutions. - Build and maintain CI/CD pipelines, monitoring, and observability frameworks. - Engage in code reviews, mentoring, and knowledge sharing to raise engineering quality. - Participate in strategic discussions on technology direction, tooling, and talent acquisition. Required Skills: - Proficient in Python; strong grasp of data structures, algorithms, and system design. - Hands‑on experience with cloud platforms (AWS, Azure, Google Cloud) and infrastructure‑as‑code. - Deep familiarity with AI/ML concepts, model deployment, and production lifecycle. - Excellent problem‑solving mindset, self‑direction, and adaptability to rapid change. - Knowledge of renewable energy markets, contract management, or financial analysis is a significant advantage. - Prior startup or high‑velocity SaaS experience preferred. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Relevant certifications (e.g., AWS Certified Developer, Azure Solutions Architect) are welcome but not mandatory.

London, United kingdom

On site

16-11-2025

Company Name

Amplytic

Job Title

AI ML Engineer

Job Description

**Job title** AI ML Engineer **Role Summary** Design, build, and maintain agentic AI systems for renewable‑energy asset management. Responsibilities include NLP pipelines, retrieval‑augmented generation (RAG), ontology updates, and deployment of AI agents that trigger alerts and automated actions using real‑time data. **Expactations** - Own end‑to‑end development of core AI components. - Deliver production‑ready AI features that solve tangible business problems. - Operate with high ownership, minimal oversight, and a focus on rapid iteration. **Key Responsibilities** - Develop continuous ingestion pipelines for contract and operational data. - Implement document classification, entity extraction, and knowledge‑graph updates. - Build and optimize RAG architectures over large document sets. - Design and deploy autonomous decision‑making AI agents using language‑model frameworks. - Monitor, retrain, and maintain models and pipelines in cloud environments. **Required Skills** - Proficient in Python and software engineering best practices. - Strong fundamentals of supervised/unsupervised ML, evaluation, and feature engineering. - Experience with LLM‑based agent frameworks (LangChain, LlamaIndex, etc.). - Knowledge of agent architecture: tool use, multi‑agent patterns, workflow orchestration. - Hands‑on RAG, large‑scale information retrieval, and document‑heavy domain experience. - Familiarity with knowledge graphs or ontology construction (entity resolution, relation extraction). - Cloud platform expertise (AWS, Azure, or GCP) and ML model deployment. - Ability to handle messy, real‑world data and solve complex problems. - (Optional) Interest in renewable energy or financial/contract logic. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related technical field. - No mandatory certifications required.

London, United kingdom

On site

18-11-2025