{"id":1260387,"url":"https://alion.io/job/pgagi-ai-backend-engineering-intern","title":"AI Backend engineering Intern","company":{"id":3798350,"name":"PGAGI","domain":"pgagi.in","url":"https://alion.io/company/pgagi","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":55000,"period":"year","method":null,"sample_n":4502},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GraphQL","optional":false},{"name":"Hugging Face","optional":false},{"name":"JavaScript","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM","optional":true},{"name":"RabbitMQ","optional":true},{"name":"RAG","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-08-27T11:52:04Z","employer_posted_date":null,"last_verified_at":"2026-08-27T11:52:04Z","board_verified":false,"closed_at":null,"days_open":32,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":32},"description":"About PGAGI:\n\nWe're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.\n\nAbout the Role\n\nWe are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.\n\nYou will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.\n\nKey Responsibilities\n\nAI / ML ENGINEERING\nDesign, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.\nDevelop and iterate on prompt engineering strategies to optimise model performance and output quality.\nIntegrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.\nBuild deep learning workflows including training, evaluation, and continuous improvement loops.\nCollaborate on data collection, preprocessing, and feature engineering for ML pipelines.\n\nBACKEND ENGINEERING\nArchitect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.\nBuild and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.\nDesign and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.\nImplement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).\nContainerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.\nIntegrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.\nWrite clean, well-tested, and well-documented backend code; participate actively in code reviews.\n\nVERSION CONTROL & COLLABORATION\nUse Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.\nContribute to technical documentation, architecture decision records, and internal knowledge bases.\n\nDuration & Compensation\n\nDuration: 6 Months\nStipend: Base ₹8,000/month — up to ₹15,000/month based on performance\nPost-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance\n\nPerks & Benefits\n\nHands-on experience shipping real AI products used by actual customers.\nMentorship from senior engineers and industry experts in AI/ML and backend development.\nExposure to the full development lifecycle — from model training to production deployment.\nCollaborative, innovative, and flexible work environment.\nAccelerated growth path with a clear route to a full-time engineering role.\n\nHow to Apply\n\nInterested candidates are invited to submit their resume and complete the assignment using\nthe link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754\nShortlisted candidates will be contacted for an interview.\n\nSelection Process\n\nInitial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.\nTask Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.\nPerformance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.\nInterview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.\nOnboarding: Successful candidates will join our team, with exciting projects ahead\n\nRequirements\n\nMUST-HAVE SKILLS\nStrong proficiency in Python for AI/ML development and scripting.\nSolid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).\nFamiliarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).\nWorking knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).\nExperience with Git and GitHub version control workflows.\nExposure to AI/ML platforms such as Hugging Face and OpenAI.\nUnderstanding of prompt engineering concepts and the model fine-tuning process.\n\nGOOD TO HAVE\nHands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.\nFamiliarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).\nExperience with message queues (Redis, RabbitMQ) or background task processing.\nKnowledge of LLM orchestration tools such as LangChain or LlamaIndex.\n\nSOFT SKILLS & MINDSET\nStrong problem-solving instincts and a genuine curiosity about AI technology.\nAbility to own tasks end-to-end and communicate progress clearly.\nComfortable working in a fast-moving environment where requirements evolve.\nA growth mindset — eager to learn, receive feedback, and level up continuously.\n\nTECH YOU'LL WORK WITH\nPython\nNext.js\nNode.js\nFastAPI\nLLMs / NLP\nPostgreSQL\nReact\nDocker\nHuggingFace\nOpenAI API\nGitHub\nREST / GraphQL\n\nApply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!\n\n#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python\nSkills\nLarge Language Models (LLM) tuning, Retrieval Augmented Generation (RAG), Python, Data Structures","description_format":"text","description_chars":5852,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-25T20:04:01Z"}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.565,"p_room":0.55,"age_days":31,"expected_fill_days":30,"reasons":["seen:31","velocity","win:tail","comp:junior"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pgagi-ai-backend-engineering-intern","json_url":"https://alion.io/job/pgagi-ai-backend-engineering-intern.json","meta":{"generated_at":"2026-09-29T03:35:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3313,"day_limit":5000,"remaining_today":1687,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}