Intern - Software Engineering

Akino Labs

Vadodara

Hybrid

INR 167,000 - 279,000

Full time

7 days ago
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Job summary

Akino Labs in Vadodara offers an Internship in Software Engineering focused on AI and MERN stack. You will explore real-world web apps and AI-powered features, collaborating with engineering and product teams on production-oriented projects.

The role emphasizes practical full-stack development and applied AI, with exposure to React, Node.js, MongoDB, APIs, and modern software practices. Fresh graduates or students may apply, with a path toward potential full-time roles.

Qualifications

  • Freshers or 0–1 year of software development experience.
  • Strong fundamentals in JavaScript and web development.
  • Familiarity with MERN stack and REST APIs a plus.

Responsibilities

  • Develop and maintain web applications using MERN stack.
  • Build responsive React components and REST APIs.
  • Integrate AI features and third-party AI APIs.
  • Collaborate with engineers, QA, and product teams.

Skills

JavaScript
React.js
Node.js
Express.js
MongoDB
REST APIs
Git/GitHub
Problem solving
Willingness to learn

Education

B.Tech/B.E./BCA/MCA/M.Sc in Computer Science or related

Tools

Express.js
React.js
Node.js
MongoDB

Job description

Position:Intern–SoftwareEngineering(AI&MERN)

Department:Technology/ProductEngineering

Location:Vadodara/Hybrid

EmploymentType:Internship

Duration:3–6Months

Experience:Freshers/0–1Year

AbouttheRole

WearelookingforaSoftwareEngineeringIntern–AI&MERNwhoisinterestedinbuildingreal-worldwebapplicationsandAI-poweredproducts.

Youwillworkcloselywithourengineeringandproductteamsonproduction-orientedprojectsinvolvingReact,Node.js,MongoDB,APIs,AIintegrations,automation,andmodernsoftwareengineeringpractices.

Thisroleissuitableforcandidateswhowantpracticalexposuretobothfull-stackdevelopmentandappliedAI,ratherthanonlyacademicortutorial-baseddevelopment.

KeyResponsibilities
MERN/Full-StackDevelopment
  • DevelopandmaintainwebapplicationsusingMongoDB,Express.js,React.js,andNode.js.
  • BuildresponsiveandreusableReactcomponents.
  • DevelopRESTAPIsandintegratethird-partyAPIs.
  • Implementbackendbusinesslogicanddatabaseoperations.
  • WorkwithMongoDBschemas,queries,aggregation,anddatavalidation.
  • Debug,test,andimproveexistingapplications.
  • Collaboratewithdevelopers,QA,designers,andproductmanagers.
AI&Automation
  • IntegrateAIAPIsandmodelsintowebapplications.
  • WorkwithAPIsfromproviderssuchasOpenAI,Gemini,Claude,orsimilarplatforms.
  • BuildAI-poweredfeaturessuchas:
    • Chatinterfaces
    • Documentprocessing
    • Textgeneration
    • Dataextraction
    • Summarization
    • Classification
    • AI-assistedworkflows
  • ExperimentwithpromptengineeringandstructuredAIoutputs.
  • WorkonautomationworkflowsusingAIandAPIs.
  • EvaluateAI-generatedresultsandimprovereliabilityandaccuracy.
EngineeringPractices
  • Writeclean,maintainable,andreusablecode.
  • FollowGit/GitHub-baseddevelopmentworkflows.
  • Participateincodereviews.
  • Writebasicunit/integrationtestswhererequired.
  • DocumentAPIs,features,andtechnicalimplementations.
  • Investigatebugsandprovidefixes.
  • Learnandadoptengineeringstandardsfollowedbytheteam.
RequiredSkills
MustHave
  • BasicunderstandingofJavaScript.
  • BasicknowledgeofReact.js.
  • BasicunderstandingofNode.jsandExpress.js.
  • BasicknowledgeofMongoDBoranotherdatabase.
  • UnderstandingofRESTAPIsandJSON.
  • FamiliaritywithGit/GitHub.
  • Strongproblem-solvinganddebuggingability.
  • Willingnesstolearnnewtechnologiesquickly.
AISkills

CandidatesshouldhaveaninterestinappliedAIandideallyhaveexposureto:

  • LLMsandGenerativeAI
  • Promptengineering
  • AIAPIs
  • OpenAI/Gemini/ClaudeAPIs
  • RAGconcepts
  • Embeddingsandvectordatabases
  • AIagentsandautomation

DeepAIexpertiseisnotrequired.Strongfundamentalsandtheabilitytolearnaremoreimportant.

GoodtoHave
  • TypeScript
  • Next.js
  • TailwindCSS
  • Python
  • PostgreSQL
  • Redis
  • Docker
  • CloudplatformssuchasAWS,Azure,orGCP
  • Vectordatabases
  • LangChain/LlamaIndexorsimilarframeworks
  • ExperiencebuildingpersonalprojectsorcollegeprojectsusingAI
  • ExperiencedeployingapplicationsusingVercel,Netlify,AWS,orsimilarplatforms
WhatWeLookFor

Wevaluecandidateswho:

  • Canunderstandaproblembeforewritingcode.
  • Arecomfortabledebuggingindependently.
  • Canreadandunderstandexistingcode.
  • Asktechnicallyrelevantquestions.
  • Arewillingtoworkonunfamiliartechnologies.
  • Careaboutcodequalityratherthansimplymakingsomethingwork.
  • Cantakeownershipofsmallfeaturesfromdevelopmentthroughtesting.
  • Havebuiltprojectsoutsideofcoursework.
PreferredEducationalBackground
  • B.Tech/B.E./BCA/MCA/M.Sc.ComputerScienceorrelateddiscipline.
  • Final-yearstudentsandrecentgraduatesareencouragedtoapply.
PracticalEvaluation

Shortlistedcandidatesmaybeevaluatedthroughatechnicalassignmentinvolvingsomecombinationof:

  1. BuildingasmallReactinterface.
  2. CreatingaNode.js/ExpressAPI.
  3. ConnectingtheapplicationtoMongoDB.
  4. IntegratinganAIAPI.
  5. Debugginganexistingpieceofcode.
  6. Explainingtheirtechnicaldecisions.

Candidatesmayalsobeaskedtodemonstrateapersonal,academic,oropen-sourceproject.

InternshipExpectations

Duringtheinternship,thecandidateisexpectedto:

  • Workonrealproductfeatures.
  • FollowGit-baseddevelopmentpractices.
  • Participateindaily/weeklyengineeringdiscussions.
  • Fixbugsandimplementassignedfeatures.
  • Learnfromcodereviews.
  • Maintaintechnicaldocumentationwhererequired.
  • Demonstratemeasurableimprovementduringtheinternship.
PotentialConversion

High-performinginternsmaybeconsideredforaFull-TimeSoftwareEngineer/AIEngineerpositionbasedon:

  • Technicalperformance
  • Codequality
  • Problem-solvingability
  • Ownership
  • Learningvelocity
  • Communication
  • Contributiontoproductdevelopment
WhyJoin
  • Workonreal-worldAIandSaaSproducts.
  • Gethands-onexperiencewiththeMERNstack.
  • WorkwithmodernGenerativeAItechnologies.
  • Learndirectlyfromexperiencedengineersandproductteams.
  • Buildfeaturesthatareusedinactualproductsratherthanonlytrainingprojects.
  • Opportunityforfull-timeconversionbasedonperformance.
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