HelioAI AI Engineer Intern Recruitment 2026 – Remote/Onsite, ₹5L–₹9L
HelioAI is hiring an AI Engineer Intern for a role focused on LLMs, Retrieval-Augmented Generation (RAG), agentic AI, and production AI reliability.
The opportunity is open to candidates remotely worldwide, with Hubli listed as the company/job location. The work policy is onsite or remote, and the listing states that candidates with no prior experience can apply. College freshers are specifically encouraged to apply if they have built an LLM or RAG project and can learn quickly.
The role focuses on building grounded AI agents for Shopify brands, with applications involving product recommendations, order and shipping support, knowledge updates, and omnichannel customer interactions.
HelioAI AI Engineer Intern – Overview
| Particular | Details |
|---|---|
| Company | HelioAI |
| Position | AI Engineer Intern |
| Focus | LLM + RAG / Agentic AI |
| Experience | No experience required |
| Employment Type | Full-time |
| Location | Remote – Worldwide / Hubli |
| Work Policy | Onsite or remote |
| Salary | ₹5 lakh – ₹9 lakh |
| Equity | No equity |
| Visa Sponsorship | Not available |
| Relocation | Allowed |
| Preferred Timezone | Maldives Time |
| Collaboration Hours | 10:00 AM – 7:00 PM Maldives Time |
| Application Method | Resume + GitHub + 2 projects |
| Application Contact | LinkedIn profile supplied in the listing |
| Application Deadline | Not specified |
About HelioAI
HelioAI is building an AI concierge for Shopify brands.
According to the supplied job description, the company focuses on AI agents that provide grounded answers about areas such as:
- Products
- Orders
- Policies
- Shipping
- Refunds
The role is centered on making AI systems reliable and controllable rather than simply generating text.
HelioAI AI Engineer Intern Role
The AI Engineer Intern will work on LLM and RAG systems designed for real-world production use.
The role involves building retrieval pipelines, improving answer relevance, reducing hallucinations, creating evaluation systems, and adding guardrails for safer and more deterministic AI behaviour.
Candidates will also work with backend and product teams to deliver regular improvements.
Key Responsibilities
Build RAG Pipelines
The intern will build Retrieval-Augmented Generation (RAG) pipelines covering the process from retrieval to grounded answers and citations.
This involves helping AI systems use relevant information when generating responses rather than relying solely on model-generated knowledge.
Reduce AI Hallucinations
The role focuses on improving answer reliability through techniques such as:
- Structured outputs
- Tool calling
- Grounded responses
- Deterministic workflows where required
This is particularly important for use cases such as order-related questions, where incorrect information can directly affect customers.
Improve Retrieval Relevance
The intern will work on improving the quality of retrieved information through areas such as:
- Chunking
- Embeddings
- Reranking
- Filters
These techniques are used to improve the relevance of information supplied to AI models.
Build Evaluation Systems
The role includes creating evaluation datasets and quality-scoring systems.
Candidates may work on determining whether AI responses are good or bad and use these evaluations to identify areas where the system needs improvement.
Add AI Guardrails
The intern will work on guardrails designed to make AI agents:
- Policy-safe
- Brand-safe
- More deterministic for order-related workflows
This is part of the company’s focus on production reliability.
Work With Product and Backend Teams
The AI Engineer Intern will collaborate with backend and product teams to ship improvements on a regular basis.
This provides exposure to the engineering and product side of deploying AI systems rather than limiting the role to experimentation.
Example AI Projects
The listing provides several examples of systems the intern may work on.
Product Recommendation Agent
This includes AI agents designed for:
- Product recommendations
- Upselling
- Bundling
- Increasing average order value (AOV)
Order and Shipping Agent
The role may involve building agents that provide accurate and deterministic answers about orders and shipping.
Knowledge Updates
AI systems may also need to incorporate changing information such as:
- FAQs
- Policies
- Announcements
Omnichannel AI Agents
The company is also working on agents across multiple customer communication channels, including:
- Websites
- Instagram direct messages
Required Skills
The job listing emphasizes practical understanding rather than a long list of mandatory technologies.
Candidates should have:
- Strong fundamentals in LLMs
- Understanding of RAG concepts
- Python or Node.js
- A reasoning and debugging mindset
- Comfort working with APIs
- Understanding of JSON structured outputs
Knowledge of both Python and Node.js is not required because the listing states that either language is acceptable.
Experience Requirements
The position states no experience required.
HelioAI specifically welcomes college freshers who have a fresh approach to problem solving and have built an LLM or RAG project.
Candidates should therefore be able to demonstrate practical interest in AI through projects, particularly projects involving:
- LLMs
- RAG
- AI agents
- APIs
- Structured outputs
Salary and Compensation
The listed compensation for the AI Engineer Intern position is:
₹5 lakh – ₹9 lakh
The listing specifies no equity.
The supplied information does not clarify whether this compensation range represents annual compensation, total internship compensation, or another period. Candidates should confirm the exact compensation structure with the hiring team.
Work Location and Working Hours
The position can be worked remotely worldwide, while Hubli is listed as the job/company location.
The work policy is described as onsite or remote.
The preferred timezone is Maldives Time, with collaboration hours from:
10:00 AM to 7:00 PM Maldives Time
Relocation is allowed, while visa sponsorship is not available.
How to Apply
The supplied listing asks interested candidates to send:
- Resume
- GitHub profile
- Two projects they have built
The listing provides a LinkedIn profile as the application contact.
Candidates should use the contact method provided in the original listing and include projects that demonstrate practical experience with AI, particularly LLM or RAG systems.
What Candidates Should Showcase
Since the application specifically asks for two projects, candidates can use projects that demonstrate their ability to build and debug practical AI systems.
Relevant project areas include:
- RAG applications
- LLM-powered assistants
- AI agents
- Document Q&A systems
- Structured-output applications
- API-integrated AI tools
- Retrieval and ranking systems
The supplied listing does not require any particular project type, so candidates should focus on clearly demonstrating what they built and how it works.
Why This Role Is Relevant for AI/ML Freshers
This internship is particularly focused on applied AI engineering.
Instead of concentrating only on model development, the role covers several parts of a production AI system:
- Retrieval
- Generation
- Evaluation
- Guardrails
- Tool calling
- APIs
- Backend integration
- Product development
Candidates interested in LLM engineering, RAG, AI agents, or production AI systems can use the role to gain exposure to these areas.
Important Points
- HelioAI is hiring an AI Engineer Intern.
- The role focuses on LLMs, RAG, and agentic AI.
- No prior professional experience is required.
- College freshers are welcome.
- LLM/RAG project experience is specifically encouraged.
- Candidates can use Python or Node.js.
- API and JSON structured-output knowledge is required.
- The role involves retrieval, evaluation, hallucination reduction, and guardrails.
- Example projects include product recommendation, order/shipping, knowledge, and omnichannel agents.
- The listed salary is ₹5L–₹9L, with no equity.
- The compensation period is not specified in the supplied listing.
- The position supports remote work worldwide and also lists Hubli as the location.
- Collaboration hours are 10 AM–7 PM Maldives Time.
- Visa sponsorship is unavailable.
- Relocation is allowed.
- Applicants should submit a resume, GitHub profile, and two projects.
- The application deadline is not specified.
Frequently Asked Questions
What is the HelioAI AI Engineer Intern role?
It is an AI engineering internship focused on LLMs, RAG pipelines, AI agents, evaluation, guardrails, APIs, and production AI reliability.
Is experience required for the HelioAI internship?
No. The listing states that no experience is required, and college freshers are welcome to apply.
What programming languages are required?
Candidates should know Python or Node.js. The listing does not require both.
What AI skills are required?
Candidates should understand LLM and RAG fundamentals and be comfortable with APIs and JSON structured outputs.
What is the salary for the HelioAI AI Engineer Intern?
The listing shows a compensation range of ₹5 lakh to ₹9 lakh with no equity. The supplied information does not specify the compensation period.
Is the HelioAI internship remote?
Yes. The listing says the role can be remote worldwide, while Hubli is listed as the location. The work policy is described as onsite or remote.
What projects can candidates work on?
Potential projects include product recommendation agents, order and shipping agents, knowledge-update systems, and omnichannel agents for web, WhatsApp, and Instagram DM.
What should candidates submit?
The listing asks applicants to send a resume, GitHub profile, and two projects they have built.
Is visa sponsorship available?
No. Visa sponsorship is not available.
What are the collaboration hours?
The listed collaboration hours are 10:00 AM to 7:00 PM Maldives Time.
Is an application deadline mentioned?
No application deadline is specified in the supplied listing.