Software Engineer (AI)

Location: London, United Kingdom; on-site

Company

hirify.global provides an AI-native requirements platform that helps modern engineering organizations design, validate, and evolve complex hardware 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 in production.
• Build data pipelines, evaluation harnesses, prompt and model management, observability, and safety guardrails.
• Work across backend integrations, APIs, and simple UI hooks to deliver complete AI features.
• Partner with product and customers to identify valuable workflows, run experiments, and iterate based on usage.

Requirements

• 5+ years of experience developing production software, including designing, testing, and operating services 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.
• Familiarity 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.
• Comfort working in a high-ownership, fast-paced environment where experimentation and iteration are expected.
• Experience with TypeScript/Node.js and Python for AI and backend services.
• Experience with modern LLM APIs and orchestration libraries for agentic workflows.
• Experience with Postgres and managed cloud services for data and state.

Culture & Benefits

• Fast prototyping of AI workflows followed by production hardening.
• Clear ownership of features from prototype through production, with scope adjusted as needed.
• Evaluation, observability, and safety treated as part of the first version.
• 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.