Careers · AI
AI Intern
Hands-on work with LLM systems in production: prompt and agent design, retrieval pipelines, evaluation, and integration of AI into Vestval products and client workflows.
Apply for this roleWhat you'll do
- Build and test LLM-powered workflows and agents
- Construct retrieval pipelines (chunking, embeddings, ranking)
- Run structured evaluations — measure quality, not vibes
- Prototype AI features alongside product engineers
- Document failure modes and propose mitigations
- Help integrate AI features into Vestval AI, Learn or Flow
Required skills
- Python proficiency
- Working understanding of LLMs, embeddings and prompting
- Comfort reading API docs and model cards
- Bonus: LangChain/LlamaIndex-style tooling, vector databases
Preferred / bonus
- Built a non-trivial RAG system or agent end-to-end
- Experience with eval harnesses (Ragas, promptfoo, custom)
- Comfort with at least one vector store (pgvector, Pinecone, Qdrant)
- Statistical literacy — confidence intervals, sample sizes, bias awareness
Who should apply
People who have built something with an LLM API beyond a chat wrapper — an agent, a RAG system, an evaluation harness — and can explain its failure modes.
Ideal candidate profile
- You distrust demos that aren't reproducible
- You think in eval suites, not anecdotes
- You can explain why your system fails as clearly as why it works
- You treat hallucinations as a design problem, not a model defect
What you'll learn
- Production-grade RAG: ingestion, chunking, ranking, freshness
- Agent design patterns and their real failure modes
- Evaluation methodology beyond accuracy numbers
- Safety, privacy and cost trade-offs in deployed AI
Tools & stack
Growth path
Pipeline into our applied AI engineering team, with exposure to enterprise AI deployments across BFSI, manufacturing and healthcare clients.
Months 0–3 (Intern)
Own evaluation for one production AI workflow. Ship one user-facing AI feature.
Months 3–6 (Conversion)
Lead a small AI workflow end-to-end with evals, prompts and observability.
Year 1 (Applied AI Engineer)
Own an AI surface in Vestval AI, Flow or a client engagement.
Years 2–3
Senior applied AI engineer — choose track: agents, retrieval, evaluation or platform.
How to apply
Use the application form on the careers page — select Internship as role type and mention AI Intern in your motivation note. Attach a résumé and anything you've built that you're proud of.
FAQ
AI Intern — frequently asked
- Yes. All Vestval internships carry a monthly stipend benchmarked to role and city. Stipend is discussed at the offer stage — not the application stage.
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