5 дней назад
AI Software Engineer
120 000 - 195 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Engineer (LLM/Agentic Workflows): Building AI-powered requirements features and agentic workflows that help systems and domain engineers author, review, simulate, and validate complex designs with an accent on production software, language models, and full-stack delivery. Focus on evaluating and integrating LLMs, building retrieval and evaluation infrastructure, and ensuring reliability, observability, latency, cost efficiency, and safety in production.
Location: London, United Kingdom; on-site
Salary: £120K–£195K plus equity
Company
is an AI-native requirements platform that helps 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 and related tooling, optimizing reliability, latency, cost, and debuggability.
- 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
- 5+ 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.
- Knowledge of prompt design, retrieval-augmented systems, evaluation methods, and safety or guardrail approaches.
- Ability to assess tradeoffs between models, architectures, and deployment patterns.
- Experience with TypeScript/Node.js, Python, Postgres, and managed cloud services.
- Comfort working with high ownership in a fast-paced environment focused on experimentation and iteration.
Culture & Benefits
- Fast prototyping followed by hardening successful AI workflows for production.
- End-to-end ownership of features from prototype through production.
- Evaluation, observability, and safety are built into the first version of features.
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.
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