Puch AI Remote AI Engineer Internship 2025 | Work From Home Opportunity

Puch AI is hiring AI Engineers to develop and deploy LLM-powered tools, RAG pipelines, agents, and production ML systems for its multilingual assistant used by millions across India. This is a remote role focusing on model fine-tuning, retrieval systems, and production reliability.

Stay updated on India’s latest government job opportunities by visiting the Careerbywell page, keeping you informed about the newest openings in 2025.

About Puch AI

Puch AI builds multilingual AI assistants that work across WhatsApp, voice, and web platforms in Indian languages. The company focuses on applied NLP and large-scale production-grade LLM systems, combining research and engineering to create impactful AI solutions for real-world users.

Puch AI AI Engineer Recruitment 2025

Puch AI invites applications for the role of AI Engineer (remote). Candidates with practical experience in building and shipping LLM pipelines, RAG systems, and AI agents using frameworks like LangChain, Hugging Face, and OpenAI are encouraged to apply. Opportunities exist for both full-time and internship roles based on skills and experience.

Puch AI AI Engineer Recruitment 2025 Overview

Organization Name Puch AI
Post Name AI Engineer
Education Qualification Bachelor’s in Computer Science / AI / related field or equivalent real-world experience
Age Limit Not Specified
Number of Vacancies Not Specified
Application Start Date Not Specified
Application End Date Not Specified
Application Fee No Fee
Salary Not Specified (Based on Experience)
Mode of Application Online – Submit name, email, phone, experience, LinkedIn, CV, and motivation via company form

Puch AI AI Engineer Recruitment 2025 Vacancies

Vacancy numbers are not disclosed. Puch AI may hire one or more engineers across remote positions and internships. Interested candidates are advised to apply even if openings appear limited.

Puch AI AI Engineer Recruitment 2025 Eligibility Criteria

  • Proven experience building LLM-powered tools, agents, or production NLP systems.
  • Proficiency in PyTorch and Hugging Face Transformers.
  • Familiarity with LangChain or similar orchestration frameworks.
  • Knowledge of RAG pipelines, embeddings, vector stores, and hybrid retrieval systems.
  • Experience in deploying production-grade AI systems end-to-end (data, training, inference).
  • Bachelor’s degree in Computer Science, AI/ML, or equivalent practical experience.
  • Familiarity with API-based workflows, tool-calling, and model observability.
  • Bonus: Experience in multilingual NLP (Indian languages) or open-source AI contributions.

Puch AI AI Engineer Recruitment 2025 Selection Process

The selection process includes the following steps:

  1. Resume / Application Screening
  2. Technical Assignment or Take-home Project (focused on LLM/engineering task)
  3. Technical Interviews (covering ML fundamentals, system design, and coding)
  4. Final Interview with Hiring Team for Role Fit and Responsibilities

Exact stages may vary. Shortlisted applicants will be contacted directly by the company.

Puch AI AI Engineer Recruitment 2025 Salary

Salary is not specified and will depend on experience and skill level. Compensation varies based on role type (full-time or internship) and project scope.

Puch AI AI Engineer Recruitment 2025 Application Fee

No application fee is required for this recruitment.

Puch AI AI Engineer Recruitment 2025 Application Process

  • Prepare an updated CV (PDF format preferred) and include a list of relevant LLM, RAG, or AI agent projects.
  • Include your LinkedIn profile link and a brief motivation statement explaining your fit for the role.
  • Fill out the online application form with your name, email, phone number, experience, LinkedIn, CV upload, and motivation text.
  • If required, attach or link code samples, demos, or repositories (GitHub, Colab, Hugging Face, etc.).
  • Submit the completed form and monitor your email for further communication from Puch AI.

Official Notification Click Here

Careerbywell Team

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