Artificial Intelligence Engineer

Oxford Dynamics Limited; Greater London; Hybrid; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Rapid career progression

Flexible working hours

Hybrid working model

Private Healthcare

29 days holiday + public holidays

Job summary

Oxford Dynamics Limited is seeking an Artificial Intelligence Engineer to build and deploy agentic AI systems in London. The role involves architecting multi-agent systems, integrating large language models, and ensuring deployment in secure environments.

Ideal candidates will have solid experience with Python and AI frameworks, and a strong focus on delivery. The position offers a hybrid working model and a range of benefits including private healthcare and a pension plan.

Qualifications

• Commercial experience building multi-agent or agentic AI systems in production.
• Hands-on experience with LLM frameworks like LangGraph or LangChain.
• Experience deploying AI/ML systems into production environments.

Responsibilities

• Architect, build, and optimise multi-agent AI systems using frameworks.
• Integrate LLMs and vision-language models into workflows.
• Deploy AI systems into cloud and air-gapped environments.

Skills

Strong Python skills

Experience building multi-agent or agentic AI systems

Familiarity with Docker

Understanding of secure deployment patterns

Tools

AWS

Kubernetes

Job description

Artificial Intelligence Engineer

Contract: Permanent or Contract considered

Roles: Hiring for multiple positions

Salary: Very Competitive

Location: London

ANOTEFROMTHEFOUNDERS

OxfordDynamicsisataninflectionpoint.

Weoperateinsomeofthemostcomplexandhigh-stakesenvironmentsintheworld-defence,nationalsecurity,AIandrobotics.Thedecisionswemakenowilldefinenotjusthowfastwegrow,butwhowebecome.

Youwillworkcloselywiththeentireteam.Youwillbetrustedwithjudgmentcalls.Youwillinfluencethebusiness.Andyouwillseetheimpactofyourworkeveryday.

Ifyouareexcitedbyownership,paceandpurpose-andbybuildingsomethingthatgenuinelymatters-wewouldlovetohearfromyou.

What You Will Be Doing

WearelookingforAIengineerswhobuildandshipagenticAIsystemsinproduction.YouwillworkatthecuttingedgeofagenticandgenerativeAI-designingmulti-agentpipelines,integratinglargelanguagemodelsandvision-languagemodelsintorealworkflows,anddeployingthemintosecureandair-gappedenvironmentsfordefenceandnationalsecuritycustomers.

Thisisadeliveryrole.Youwillownfeaturesend-to-end-fromdesignthroughtodeploymentinconstrainedenvironmentswherereliabilityandsecuritymattermorethanspeedtomarket.

Key Responsibilities

• Architect,build,andoptimisemulti-agentAIsystemsusingframeworkssuchasLangGraph,Haystack,orequivalent
• IntegrateLLMsandvision-languagemodelsintoagentworkflowsforreasoning,search,summarisation,andtaskexecution
• DeployAIsystemsintocloud,on-premises,andair-gappedenvironments
• Buildproduction-readypipelinesfromdataingestionthroughtoinference
• ExperiencewithobservabilityforAIsystems,includingagentbehaviour,modelperformance,andfailuremodes
• Collaboratewithengineers,productleads,andcustomerstotranslaterequirementsintoworkingsystems
• Contributetoevaluationframeworks,systemintegration,andperformancetracking
• ActasatechnicalauthorityforagenticAI-settingdesignpatternsforjuniorengineers

Requirements

• Commercialexperiencebuildingmulti-agentoragenticAIsystemsinproduction
• StrongPythonskillsandhands-onexperiencewithLLMframeworks(LangGraph,LangChain,Haystack,orsimilar)
• ExperiencedeployingAI/MLsystemsintoproductionenvironments
• FamiliaritywithDocker,Git,andcloudplatforms(AWSpreferred)
• Understandingofsecuredeploymentpatterns-air-gapped,on-premises,orsovereigncloud

Preferred

• Experiencewithmultimodalreasoning
• ExperiencewithedgeorofflineAIdeployments
• FamiliaritywithKubernetes(EKS/OpenShift)formonitoringandmanagingdeployedapplications
• MLOpsexperience-modelevaluation,monitoring,reproducibility
• Observabilitytoolingforagenticsystems(modeldrift,agentbehaviour,performancemonitoring)
• Experiencewithagentorchestrationpatternsandinter-agentcommunicationprotocols(e.g.A2A)
• FamiliaritywithMCPsfortoolandcontextintegrationinagenticsystems
• Familiaritywithsecure-by-designdevelopmentprinciples(ISO27001,NIST,OWASP)
• Experienceindefence,nationalsecurity,orsimilarlyregulatedenvironments
• Contributions to open-source AI/ML projects

Soft Skills

• Delivery-focused-youshipworkingsystems,notprototypes
• Comfortableoperatingacrossthestackwhenneeded
• Strongcommunicator-canpresenttotechnicalandnon-technicalstakeholders
• Thrivesinsmallteamswithhighownership

Why OxfordDynamics

JointhemostexcitinggrowthareaintheUK:AIandRobotics!EverymemberoftheOxfordDynamicsteamhasamajorimpactontheproductsandservicesweprovide.Regardlessofjobtitle,youwillgettomakearealdifferenceandlearnfromcolleaguesaboutallareasofourbusiness.

Benefits

• Rapidcareerprogressionandpersonalgrowth
• Flexibleworkinghours
• Opportunitytoshapethefutureofafast-growingbusiness
• Hybridworkingmodel
• Companypension(NEST)with4%employercontribution
• PrivateHealthcare
• 29daysholiday+publicholidays

OxfordDynamicsiscommittedtocreatinganinclusiveteamexperienceforall.Regardlessofrace,gender,religion,sexualorientation,age,disability,orparentalstatus,webelieveourworkisatitsbestwheneveryonefeelsfreetobetheirauthenticself.