Location
Tiruchirappalli, Tamil Nadu
Work Mode
Hybrid
Duration
3 months
Stipend
₹22,000/mo
Start Date
Immediate / Rolling
Openings
15 positions
Type
Full-time
Category
Generative AI
About the Internship
Join SecureLayer7 in Tiruchirappalli as a RAG Pipeline Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on retrieval-augmented generation pipelines work.
About the role
As a RAG Pipeline…
About SecureLayer7
SecureLayer7 offers a mentor-led RAG Pipeline Engineer Intern in Tiruchirappalli with live project work in generative ai, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
See all SecureLayer7internships →Tiruchirappalli, Tamil NaduVerified employer15 openings
Apply to SecureLayer7 →Skills Required
Retrieval-Augmented Generation (RAG)EmbeddingsVector Databases (Pinecone / Qdrant)PythonChunking & IndexingLlamaIndex / LangChainHybrid SearchCitation & GroundingEvaluation MetricsDocument Parsing
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Tiruchirappalli. You should be keen to learn Retrieval-Augmented Generation (RAG), Embeddings, Vector Databases (Pinecone / Qdrant) on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
- 3Team-fit / behavioural interview with the team
- 4HR discussion — stipend, start date, expectations and offer
₹22,000/month
Stipend · 3 months
Openings15 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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