AI Engineer - Internship

Overview

About the internship:

1. Generative AI Applications
-Assist in building and maintaining LLM-powered features such as chat interfaces, assistants, and analytical tools.
-Work closely with engineers to translate product requirements into reliable AI workflows.

2. Prompt Engineering & Optimization
-Design, test, and refine high-quality prompts to improve accuracy, reasoning, consistency, and safety.
-Experiment with prompting techniques such as: Few-shot examples, Structured / schema-based prompts, Instruction tuning & role prompting and Tool-calling and function-based prompts
-Analyze model outputs and iterate on prompts based on real user data and evaluation results.

3.RAG (Retrieval-Augmented Generation) Pipelines
-Build and optimize RAG pipelines for knowledge-based question answering and decision support systems.
-Improve retrieval quality using: Chunking strategies, Embedding selection, Metadata filtering and reranking
-Work with vector databases to enable fast and accurate semantic search.

4. AI Agents & Workflows
-Support the development of AI agents capable of multi-step reasoning, tool usage, and autonomous task execution.
-Help design agent prompts, memory handling, and decision logic.

5. Evaluation & Reliability
-Design and run evaluations to measure prompt quality, retrieval accuracy, hallucination rates, and overall system reliability.
-Compare different prompts, embeddings, and pipelines using both automated metrics and human review.

6. Data Preparation
-Process and prepare structured and unstructured data (documents, emails, policies, APIs, logs) for LLM and RAG usage.
-Assist with data cleaning, chunking, and annotation workflows.

Who can apply:

Only those candidates can apply who:

1. are available for the work from home job/internship
2. can start the work from home job/internship between 20th Dec'25 and 24th Jan'26
3. are available for duration of 2 months
4. have relevant skills and interests

Stipend:

INR₹ 10,000 - 15,000 /month

Deadline:

2026-01-21 23:59:59

Other perks:

Certificate, Flexible work hours

Skills required:

Python, Machine Learning, Artificial intelligence and Prompt Engineering

Other Requirements:

1. Core Skills

-Strong foundational knowledge of Python.

-Solid understanding of LLMs, embeddings, and how Generative AI systems work.

-Clear interest or hands-on experience in prompt engineering and iterative experimentation.

2. GenAI & Tooling

-Basic experience or strong willingness to learn LangChain, LangGraph, or similar orchestration frameworks.

-Familiarity with RAG concepts and semantic search.

-Exposure to vector databases such as Qdrant, Pinecone, or Chroma.

3. Engineering Fundamentals

-Comfort working with Git and collaborative workflows (GitHub/GitLab).

-Strong problem-solving and analytical thinking skills.

4.Bonus (Nice to Have)

-Familiarity with Docker and basic cloud concepts (AWS, Azure, or GCP).

-Experience running evaluations or benchmarks for LLM outputs.

-Curiosity about AI reliability, hallucinations, and prompt safety.

5. Candidates who are available for a minimum of 2 months and open to an extension up to 6 months based on performance.

About Company:

Neura Dynamics is at the forefront of AI-driven innovation, developing state-of-the-art solutions that integrate AI seamlessly into various business functions. We specialize in generative AI, LLMs, and intelligent automation, creating products that transform industries.