4 часа назад
AI Software Engineer
80 000 - 180 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Engineer (LLM/Agentic Systems): Building AI-powered requirements features and agentic workflows that help hardware engineering teams draft, validate, and evolve complex systems with an accent on LLM integration, retrieval-augmented systems, and production reliability. Focus on designing evaluation harnesses, observability, safety guardrails, and full-stack AI capabilities across Python, TypeScript/Node.js, APIs, and managed cloud services.
Location: London, United Kingdom; on-site
Salary: £80K–£180K per year plus equity
Company
develops an AI-native requirements platform for modern engineering organizations, helping hardware teams collaborate with AI agents to design, validate, and evolve complex systems.
What you will do
- Design and ship AI-powered features for assisted requirements drafting, consistency checks, impact analysis, and intelligent suggestions.
- Build agentic workflows that help systems and domain engineers explore designs, simulate changes, and validate requirements.
- Evaluate and integrate language models, optimizing reliability, latency, cost, and debuggability in production.
- Build data pipelines, evaluation harnesses, prompt and model management, observability, and safety guardrails.
- Develop complete AI features across backend integrations, APIs, and simple UI hooks.
- Partner with product and customers to identify valuable workflows, run experiments, and iterate based on usage.
Requirements
- 3+ years of experience developing, testing, and operating production software at scale in a cloud environment.
- Hands-on experience with modern LLM providers and tooling, including OpenAI, Anthropic, Hugging Face, vector stores, and RAG patterns.
- Experience with prompt design, retrieval-augmented systems, evaluation methods, and safety or guardrail approaches.
- Ability to assess tradeoffs between models, architectures, and deployment patterns and make pragmatic decisions.
- Proficiency with TypeScript/Node.js and Python for AI and backend services.
- Experience with Postgres and managed cloud services; comfortable working in a high-ownership, fast-paced environment.
Culture & Benefits
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off.
- Support for experimentation, learning, and staying current with the AI ecosystem.
- Rapid prototyping followed by production hardening, with evaluation, observability, and safety included from the first version.
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