AI Developer Intern

Askgalore Digital India; Bhopal; On-site; INR 167,000 - 279,000; Full time

Job summary

Askgalore Digital India is offering an AI Developer Internship designed to fast-track your growth into a full-stack AI engineer. You will work alongside senior engineers to build real LLM-powered systems, from understanding business problems to delivering prototypes used by real clients.

You will gain exposure to end-to-end AI product lifecycle, with mentorship, hands-on coding, and opportunities to ship real code in a fast-paced, startup-like environment.

Qualifications

• Pursuing or recently completed BE/BTech/MCA in AI/ML/Data Science with strong fundamentals.
• Strong coding ability and hands-on approach, not just theory.
• Able to thrive in a fast-paced, learning-oriented environment.
• Eager to research, experiment, and try hands-on with mentor support.
• Curious about Generative AI, AI Agents, LLMs, Computer Vision, and SaaS platforms.

Responsibilities

• Design, prototype, and iterate on AI/ML models for real business problems.
• Learn to build RAG pipelines using LangChain/LangGraph and vector databases.
• Build and experiment with LLM-based systems including prompts, embeddings, retrieval, and tuning workflows.
• Implement and train ML/DL models using frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expose model functionality through APIs (Python/FastAPI).

Skills

Python coding

Fast learning

Good communication

Team collaboration

Education

BE/BTech/MCA in AI/ML/Data Science

Tools

LangChain

LangGraph

Pydantic

FastAPI

PostgreSQL

MongoDB

Docker

Kubernetes

Langfuse/LangSmith

AWS

Azure

Job description

About the Role

We are building the next generation of financial automation, and were looking for curious, driven graduates to join us as AI Developer Interns. This is a hands-on learning role where youll work alongside senior engineers and consultants to build real LLM-powered systems - not shadow work or busywork. Youll get exposure to the full lifecycle of an AI product: from understanding a business problem, to building a working prototype, to seeing it used by real clients.

This internship is designed to fast-track your growth into a full-stack AI engineer. Youll be mentored, youll make mistakes, and youll ship real code.

What You Will Do

• Design, prototype, and iterate on AI/ML models for real business problems - from framing the problem and selecting an approach to evaluating results against baselines.
• Learn to build RAG (Retrieval-Augmented Generation) pipelines under guidance, using tools like LangChain/LangGraph and vector databases.
• Build and experiment with LLM-based systems: prompt engineering, embeddings, retrieval pipelines (RAG), and fine-tuning workflows, with growing ownership as you demonstrate capability.
• Implement and train ML/DL models using frameworks such as TensorFlow, PyTorch, or scikit-learn, and be able to justify architecture and hyperparameter choices.
• Build and expose model functionality through APIs (Python/FastAPI).

What You Bring

Core (Must-Have)

• Pursuing or recently completed BE/BTech/MCA, AI/ML, Data Science, or a closely related engineering discipline, with strong academic fundamentals in data structures, algorithms, and probability/statistics.
• Enjoys coding and building things, not just studying theory.
• Comfortable working in a fast-paced, learning-oriented environment.
• Eager to research, experiment, and try things hands-on, with support from mentors.
• Curious about Generative AI, AI Agents, LLMs, Computer Vision, and SaaS platforms.
• Comfortable "vibe coding" with AI pair-programming tools (Claude, Cursor, Copilot, or similar) to move fast, while still understanding and owning the underlying logic.
• Genuine interest in AI/LLMs - coursework, personal projects, or self-study count.
• Strong problem-solving ability and willingness to learn new tools quickly.
• Good communication skills - comfortable asking questions and explaining your work.

Nice-to-Have

• Academic or personal projects involving LLMs, ChatGPT API, or similar (even simple prompt-based projects).
• Competitive Programming Technical Assessments: Candidates are invited to include verifiable credentials, ranks, or assessment scores from recognized platforms - such as LeetCode, CodeSignal, HackerRank, Codeforces, CodeChef, or Kaggle - to demonstrate technical problem-solving proficiency.
• Familiarity with FastAPI, Flask, or any Python web framework.
• Basic knowledge of Docker or cloud platforms (AWS/Azure) - even coursework-level.
• Frontend basics (HTML/CSS/JS, React) for building simple prototypes.

Required Skill Set

Python (FastAPI), LLMs (LangGraph, LangChain, Pydantic), RAG and Vector Databases, AWS and Azure, Vibe coding, PostgreSQL and MongoDB, Docker and Kubernetes, Langfuse/LangSmith for observability.

Why This Role

• Real work, real impact: Youll contribute to systems used by actual clients, not throwaway assignments.
• Steep learning curve: Work directly with experienced engineers and consultants who will mentor you.
• AI-first exposure: Get hands-on with RAG pipelines and agentic workflows - skills that are in high demand.
• Career runway: Strong performers will be considered for full-time AI/ML Engineer roles.
• Startup pace, structured mentorship: Move fast, ask questions, and grow quickly in a supportive team.

Hiring Process

1. Assignment / Task
2. Technical Interview - Round 1
3. Technical Interview - Round 2

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.