Hire fresher generative AI engineers from India’s campuses
For an application-focused generative AI role, a fresher can help build features on existing language models (LLMs) under supervision. Look for freshers who can write a clear prompt, call a model through an API and show how they checked the answer against source material.
What strong fresher generative AI engineers look like
A strong fresher generative AI engineer treats a model answer as draft output. They test it, trace it back to source documents and record where it failed.
- Calling a language model from Python or JavaScript, handling the response and recording errors when a call fails.
- Writing prompts with a clear task, useful context and examples, then testing changes against the same set of questions.
- Answers from documents (RAG): preparing documents for search, finding the passages that support an answer and naming the source that was used.
- Checking answers for unsupported claims, missed instructions and wrong passages before a feature reaches users.
Assess them on LineupX
Plan a small task with the institute on fictional documents, such as product notes for an invented service. Choose one assessment format for all candidates. With provided model access, ask candidates to build a short question-and-answer flow in one sitting, show the passages used and explain one prompt change. With saved responses, ask candidates to check each answer against the provided passages, identify unsupported claims and suggest a prompt change. Use the same instructions and marking criteria, and arrange access to any required computer with the institute. Candidates should not need a paid account or personal laptop. If you ask about earlier projects, candidates may describe private work instead of sharing a link or repository.
Work with the institute to include a coding assessment with hidden tests, and review job assessment scores where the job carries one. Decide from the task, the candidate’s walkthrough of it and your own interview.
Relevant programmes
Start with B.Tech (including AI, machine learning and data science branches), MCA, BCA and BSc computing cohorts, and consider other graduates who can show Python or JavaScript project work. Ask institutes across the network of 100+ institutions and edtechs about coursework and project evidence. State whether the post is an internship or a full-time role, and name the foundations you will teach after joining.
Sample hiring timeline
Week 1: agree the sample task
Confirm the programming language, the model task and the fictional documents with connected institutes. Verify your company and post the job or internship for free. LineupX reviews it before it goes live.
Week 2: test the answers
Review the institute’s shared shortlist and job assessment scores where the job carries one. Ask each candidate to trace an answer to its source passage and correct one unsupported claim.
Week 3: interview and decide
Discuss errors, limits and next checks with finalists. Record decisions, track offers and agree joining or internship start dates with candidates and placement teams.
Timing depends on the institute’s placement cycle and your interview capacity.
Questions about hiring generative AI engineers
Do fresher generative AI engineers need to train models?
Not for this role. The work is building features on existing language models through API calls, prompts and document search. If a post involves model training or image and speech models, say so plainly and assess that work separately.
How do we assess whether a candidate checks model answers?
Use the same sample questions for each candidate. Ask them to show the source passage behind an answer, name one claim the passage does not support and explain the change they would make before testing again.
Should we require a machine learning degree?
Set eligibility around the starting work. A computing degree can help, but a graduate from another programme may still show sound coding, prompt testing and answer checking in the shared task and interview.
Can we hire interns as well as full-time fresher generative AI engineers?
You can post internships free on LineupX like jobs, with no hidden charges. State the duration, whether it is paid, the named mentor who will review prompt and answer checks, and the tasks the intern will own. Treat a full-time post as a separate role. Whether to make a pre-placement offer (PPO) is for the employer to decide after the internship.
Start your campus hiring
Posting jobs and internships on LineupX is free. Verify your company and share your role with institutes on the network.