Python Developer Intern (AI / ML)

Arcitech AI

Arcitech AI Navi Mumbai, Maharashtra, India

Navi Mumbai, Maharashtra, India

- On-site

- Internship
- 0-1 Year experience required0-1 Year
- ₹ (INR) 1 - 2 per year

Posted Today

About Company

Arcitech AI, located in Navi Mumbai's bustling Vashi, is a trailblazer in software and IT, specializing in software development, AI, mobile apps, and integrative solutions. Committed to excellence and innovation, Arcitech AI offers incredible growth opportunities for team members. Enjoy unique perks like weekends off and a provident fund. Our vibrant culture is friendly and cooperative, fostering a dynamic work environment that inspires creativity and forward-thinking. Join us to shape the future of technology. Unit No. 15, Ground Floor, E Wing, Phase - I, Akshar Business Park, Sector - 25, Vashi- 400703.

ARCITECH AI

Python Developer Intern (AI / ML) Back-End — AI/ML | Vashi, Navi Mumbai (On-site) | 3-Month Internship

INTERNSHIP STRUCTURE

Duration: 3 months, on-site. Conversion: Performance during the internship is reviewed at the end of the term. Strong performers are converted to a full-time role at Arcitech AI; this is not automatic and is assessed against the same bar as our full-time hires for this function.

Prior project experience (academic, personal, freelance, hackathon, or open-source) directly relevant to this role is required to be considered — we are not hiring purely on academic credentials with no applied work to show.

Role Overview

Arcitech AI is looking for a Python AI/ML Developer Intern to work alongside our AI/ML engineering team on real LLM-powered features — think RAG pipelines, prompt-driven workflows, and integrations with LLM APIs — not isolated notebook exercises. Strong performers over the 3-month term will be considered for a full time





Python Developer (AI/ML) role.

This is a specialized track: we expect you to already have hands-on exposure to at least one ML/LLM project

— a model you trained, a RAG pipeline you built, or an LLM API you integrated into something real. We will deepen your depth in our stack (LangChain, vector databases, FastAPI); we are not starting from AI/ML fundamentals.

Responsibilities

- Assist in building LLM-powered workflows and RAG pipelines using LangChain, under the guidance of a

senior AI/ML engineer.
- Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and help implement and test prompt

strategies.
- Get hands-on with embedding models and vector search — help implement or maintain similarity-search

components (pgvector, FAISS, or similar).
- Support model experimentation using PyTorch, TensorFlow, or Hugging Face Transformers on assigned

tasks.
- Build and maintain small Python microservices using FastAPI to expose AI features.
- Write tests for AI service code (pytest) and follow our Git and code-review workflow.
- Own one small, well-scoped AI feature or pipeline component end-to-end during the internship, as a

basis for your conversion evaluation.

Qualifications

- Pursuing or completed a Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
- 0–1 years of professional experience — internships, coursework, and self-driven projects all count.
- Mandatory:



at least one AI/ML or LLM project — a fine-tuned or trained model, a RAG pipeline, an LLM-

API-integrated application, or a similar applied project. Coursework alone without an applied build does not qualify. Applications without a demonstrable project will not be considered.

Skills

- Working knowledge of Python (3.9+).
- Some hands-on exposure to PyTorch, TensorFlow, or Hugging Face Transformers.
- Basic understanding of how LLMs and embeddings work; bonus if you've used an LLM API (OpenAI,

Anthropic, etc.) in a project.
- Some exposure to LangChain, or a clear ability to learn it quickly.
- Basic understanding of REST APIs; some exposure to FastAPI or Flask is a plus.
- Strong analytical thinking and comfort with ambiguity — AI/ML work often doesn't have a single right

answer.
- Transparent communication — able to explain your model/pipeline choices and trade-offs.

Nice to Have

- Exposure to a vector database (pgvector, Pinecone, FAISS, Weaviate, Milvus).
- Any experience with prompt engineering or evaluating LLM outputs.
- Exposure to Docker.
- Kaggle competitions, published notebooks, or open-source ML contributions.

Other Details This is a 3-month, on-site internship based at our Vashi, Navi Mumbai office. You will be mentored directly by our AI/ML engineering team.

Please include a link to your GitHub, a notebook, or a clear write-up of your AI/ML project(s) with your application — this is required for shortlisting.

Performance is evaluated against depth of understanding, ownership, and code quality, not just task completion.

Compensation

Stipend Range: ₹1,20,000 – ₹1,80,000 per annum (approx. ₹10,000 – ₹15,000 per month), based on skill assessment during the interview

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📌 Python Developer Intern (AI / ML) (Navi Mumbai)
🏢 ARCITECH
📍 Navi Mumbai