About Novetum
At Novetum, we design and deploy AI systems that operate within real business workflows — systems that think, decide, and execute. We work closely with companies to solve complex operational challenges using tailored, AI-driven solutions that deliver measurable outcomes. If you’re someone who wants to go beyond theory and build real-world AI systems that create impact, you’ll fit right in here. Join us and be part of a team that’s shaping how businesses run with AI.
About the role
As an AI Engineering Intern, you'll work directly with our core engineering team to design, build, and evaluate AI-powered systems that solve real problems at scale. This is a hands-on, high-autonomy role with meaningful responsibility from day one.
What you'll do
- Design and develop AI agents and coding agents using leading LLMs, integrating tool use, memory, and multi-step reasoning.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines — from chunking and embeddings to vector stores and reranking.
- Implement Model Context Protocol (MCP) integrations and custom tool harnesses to extend LLM capabilities into real-world systems.
- Craft and systematically refine prompts (zero-shot, few-shot, chain-of-thought), documenting what works and why.
- Build AI workflows that orchestrate multiple models, tools, and data sources into end-to-end applications.
- Construct evaluation (eval) frameworks to benchmark model accuracy, reliability, and regression.
- Instrument AI systems with observability tooling — traces, token usage, latency, failure modes, and cost tracking.
- Contribute to generative AI applications across text, code, and multimodal contexts.
Technical skills
Large Language Models (LLMs) · Generative AI · AI Agents · Coding Agents · Prompt Engineering · Retrieval-Augmented Generation (RAG) · Model Context Protocol (MCP) · Tool Harnesses · AI Workflows · Evaluations & Benchmarking · Observability · Python
Who you are
- Currently pursuing or recently completed a B.Tech / M.Tech / MS / PhD in Computer Science, AI/ML, or a related field. Candidates from premier engineering institutions (IITs, IISc, NITs, IIITs, BITS Pilani, or equivalent) are encouraged to apply.
- Strong Python programming skills, with clean, readable, production-aware code.
- Genuine curiosity about how LLMs work, and a habit of experimenting independently.
- Familiar with at least one LLM orchestration framework (LangChain, LlamaIndex, CrewAI, Haystack, or similar).
- Exposure to vector databases (Pinecone, Weaviate, Chroma, pgvector) and embedding models is a plus.
- Strong written communication — able to document findings and share learnings clearly.
Work policy
We do not offer remote or hybrid arrangements; candidates must be willing to work on-site and relocate to Hyderabad if required.
Pay: ₹10,000.00 - ₹15,000.00 per month
Work Location: In person
