AI Engineering Intern

WearehiringanAIEngineering

InterntoworkdirectlywithourAI,engineering,product,andQAteamsonrealproductionsystems.

Thisisahands-onengineeringinternship:youwillexperiment,build,evaluate,test,document,andhelpshipAI-nativefunctionalityusedinsidethe

Strikezoneplatform.

Thestrongestcandidateswillbecuriousbuilderswhowanttounderstandhowlargelanguagemodels,agenticworkflows,retrieval,APIs,data,evaluation,andproductengineeringcometogetherinaproduction

SaaSenvironment.

Youdonotneedtoknoweverytechnologyinourstack,butyoushouldbeabletolearnquicklyanddemonstratethatyoubuildthings.

• Developandtestprompts,systeminstructions,structuredoutputs,tool/functioncalling,modelrouting,andmulti-stepagenticworkflows.
• Improve
  
  FrankAI'sabilitytounderstandcontextandtakeapprovedactionsacrossCRMrecords,Go-to-Market data,activities,documents,campaigns,and workflows.
• Investigatehallucinations,groundingfailures,inconsistentoutputs,tool-selectionerrors,andedgecases;proposeandtestmeasurableimprovements.
• Createreproducibletestcases,evaluationsets,andbenchmarkpromptsforAI-nativeCRMandGo-to-Markettasks.
• Measureanswerquality,task completion,grounding,consistency,latency,andcostacrossmodels,prompts,andconfigurations.
• Supportregressiontestingsomodel,prompt,routing,ortoolchangesdonotbreakpreviouslyworkingbehavior.
• Turnproductfeedbackandobservedfailuresintostructuredevaluation,fine-tuning,ortrainingdatawhereappropriate.
• Workwithembeddings,semantic retrieval,vector search,Retrieval-Augmented Generation(RAG),andcontextualdataselection.
• Contribute
  
  PythoncodetoAPI,orchestration,streaming,data,andAIservices.
• IntegrateAIcapabilitieswithbackendservices,APIs,structured data,authentication,andproductworkflows.
• WorkwithengineeringandQAtoreproduceissues,validatefixes,andtestAIfunctionalitybeforeandafterproductiondeployment.
• Documentexperiments,technical decisions,results,limitations,andimplementationrecommendations.

• Current student,graduate student,recent graduate,orearly-careerengineerincomputerscience,artificial intelligence,machine learning,data science,software engineering,mathematics,oranequivalentself-taughtpath.
• Hands-onexperiencebuildingorexperimentingwithgenerativeAI,largelanguagemodels,machine learning,orAI-enabled software.
• Workingproficiencyin Pythonandtheabilitytoread,write,debug,andexplaincode.
• ComfortworkingwithAPIs,JSON,structured data,Git,testing,debugging,andtechnicaldocumentation.
• Stronganalyticalthinkingandtheabilitytoinvestigateatechnicalproblemindependentlybeforeescalating.
• Strongwrittenandspoken Englishforday-to-daycollaborationwithadistributedglobalteam.

Experiencewitheveryitembelowisnotrequired.

Strongcandidateswilltypicallyhavehands-onexposuretoseveralofthesetechnologiesorcloselyrelatedalternatives.

• Python
  3.13;
  
  FastAPI;
  
  Starlette;
  
  Pydanticv2;
  
  Uvicorn;
  
  Gunicorn.
• Lang Chain,Lang Graph,LLMorchestration,toolrouting,function/tool calling,andagentworkflows.
• OpenAIAPI/SDKandGPT-familyreasoningmodels;familiarity with
  
  Google
  
  Geminioranothermodelproviderisuseful.
• tiktokenorequivalenttokenization/cost-estimationtooling;promptandcontext-windowmanagement.
• Serperorotherweb-searchAPIsandtechniquesforgroundinganswersinreal-time,citablesources.

• Curiosity:youactivelyexplorenewmodels,techniques,papers,andtoolsandcanexplainwhatisactuallyuseful.
• Ownership:youcommunicateblockersearly,followthrough,andleaveworkbetterdocumentedthanyoufoundit.
• Productjudgment:youunderstandthatthegoalisnotmerelytocallanLLM;thegoalistocreatereliablecustomervalue.
• Foundervelocity:move quickly,learn quickly,testcarefully,andturnusefullearningintoshippedwork.

AllAIEngineering Internsbeginwitha
90-dayprobationaryperiod.

Thepurposeistoestablishaclearworkingrhythm,confirmtechnicalfit,andevaluatehoweffectivelytheinternlearns,collaborates,andco…