Senior AI Agent Architect for Industrial Simulation

PhysicsX Ltd.

Greater London

Híbrido

GBP 120.000 - 180.000

Jornada completa

Hace 12 días
Generador de candidaturas

Convierte este puesto en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

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Ventajas ofrecidas por este puesto de trabajo

Equity options
10% employer pension
Free office lunches
Enhanced parental leave
25 days annual Leave
Private medical insurance
Bike2Work scheme
Season ticket loan
Octopus EV salary sacrifice
Wellbeing perks

Descripción de la vacante

PhysicsX Ltd. is building a production-grade Agentic platform to power AI-driven engineering workflows, with a focus on safety, observability, and scalable deployment.

You will lead architectural decisions and deliver robust, enterprise-grade solutions that enable product teams, field engineers, and customers to compose advanced AI workflows safely. The role blends platform engineering with AI research, operating in a hybrid model that combines time in our Shoreditch office with work-from-home

Formación

  • Platform & Backend Foundations: 4+ years of experience in Platform Engineering, Backend, or SRE.
  • Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).
  • Agentic & AI Engineering: Production experience designing Agentic architectures (chains, tools, memory).
  • Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.
  • Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.

Responsabilidades

  • Agent Observability: Own the implementation to enforce deep tracing, granular cost tracking, and observability across the lifecycle.
  • Agent Deployment: Deliver an intuitive deployment lifecycle which simplifies auth, discoverability and resource requirements.
  • Agent Sandboxing: Architect secure environments to isolate and allow agents to operate safely.
  • Agent Evals: Implement a stack that empowers domain experts to annotate traces, turning qualitative feedback into quantitative, reproducible evaluation datasets.
  • Agent Governance: Implement robust identity and access patterns to ensure agents can safely and correctly act on behalf of users in a regulated enterprise environment.

Conocimientos

Python
Go
Kubernetes
Docker
Terraform
IaC
Agentic architectures
LangGraph
PydanticAI
Durable Execution
LLM lifecycle

Herramientas

LangGraph
LangChain
Temporal
Pinecone
Weaviate

Descripción del empleo

PhysicsX Ltd. is building a production-grade Agentic platform to power AI-driven engineering workflows, with a focus on safety, observability, and scalable deployment.

You will lead architectural decisions and deliver robust, enterprise-grade solutions that enable product teams, field engineers, and customers to compose advanced AI workflows safely. The role blends platform engineering with AI research, operating in a hybrid model that combines time in our Shoreditch office with work-from-home

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