ComplyForge | AssuraQMS

AI-powered eQMS for Medical Devices, IVD & Health Technology

India | Hybrid / Remote

Full-time Internship | 6 Months

Potential pathway to a full-time role based on performance and business requirements

About ComplyForge

ComplyForge builds AssuraQMS, an AI-powered electronic Quality Management System for medical device, IVD and health-technology companies.

The platform brings together Document Management, Design Controls, Risk Management, CAPA, Nonconformance, Supplier Controls, Training, Audits and Complaints & Post-Market Surveillance.

AssuraQMS is designed around quality-system processes aligned with ISO 13485:2016, FDA QMSR, 21 CFR Part 11 and ISO 14971.

We’re looking for an AI/ML Engineer Intern who wants to work on real-world AI problems where accuracy, evidence, traceability and reliability matter.

What You’ll Work On

RAG & Regulatory Intelligence

Build and improve retrieval pipelines over regulatory, technical and customer-controlled information.

You may work on:

- Document ingestion and preprocessing
- Chunking and embeddings
- Vector and hybrid search
- Metadata filtering
- Ranking and reranking
- Context construction
- Retrieval-quality evaluation

Sources may include FDA information, regulatory databases, medical-device documentation, quality procedures and controlled documents. 510(k) Predicate Finder

Contribute to our 510(k) Predicate Finder for predicate-device research and substantial-equivalence analysis.

You may work on

- Structured data extraction
- Device-attribute normalisation
- Similarity and ranking
- Evidence retrieval and filtering
- Citation generation
- Structured device comparisons

Citation Grounding & Hallucination Control In regulated workflows, unsupported AI output isn't acceptable.

You’ll help develop systems that:

- Connect AI outputs to supporting evidence




- Validate citation relevance
- Detect unsupported claims
- Identify fabricated references
- Test failure and abstention behaviour
- Improve retrieval and generation quality

? AI-Assisted Quality Workflows

Help develop AI capabilities for:

- SOP and controlled-document assistance
- CAPA investigation support
- Design-control traceability
- Regulatory and quality intelligence

The goal isn't simply to generate text. It’s to provide helpful AI assistance while maintaining traceability, reviewability and human control.

Model & Prompt Lifecycle

Help make AI-assisted workflows reproducible and inspectable by tracking:

Models • Prompts • Retrieval Configuration • Index Versions • Parameters • Evaluation Results • Source Evidence

What We're Looking For

Essential

- Pursuing or recently completed a degree in Computer Science, AI, ML, Data Science, Electronics or a related field
- Strong Python fundamentals
- Ability to work with an existing codebase
- Practical experience with LLM APIs
- Understanding of prompt design and structured model interaction
- Experience building at least one working RAG/retrieval-based application
- Understanding of embeddings and vector search
- Familiarity with Git
- Strong analytical and problem-solving skills
- Curiosity about why an AI system produces a particular result

Your experience can come from a university project, personal project, hackathon or research project.

Good to Have

Experience with:





- LangChain, LlamaIndex or similar frameworks
- pgvector, FAISS, Qdrant or other vector databases
- Hybrid search and reranking
- LLM evaluation frameworks
- Document parsing and OCR
- PDF/table extraction
- Structured outputs and tool/function calling
- FastAPI or backend development
- PostgreSQL
- TypeScript / React
- AWS, Azure or GCP

What You’ll Learn

You’ll gain practical experience in:

RAG • AI Evaluation • Evidence-Grounded AI • Hallucination Control • Document Intelligence • Human-in-the-Loop AI • AI Lifecycle Management

You’ll also develop working knowledge of ISO 13485, FDA QMSR, 21 CFR Part 11, ISO 14971 and IEC 62304.

Most importantly, you’ll learn how AI engineering changes when the output needs to be defensible, traceable and reliable.

Why ComplyForge?

AI for regulated industries requires more than impressive demos.

It requires:

Evidence.

Traceability.

Controlled change.

Human review.

Measurable performance.

At ComplyForge, you’ll work on a real AI-powered product solving real quality and regulatory problems for the medical-device industry.

You’ll be working at the intersection of:

AI + Medical Devices + Regulatory Technology + Quality Systems

This is an opportunity to build a specialised skill set early in your career.

How to Apply

- Please send us:
- Your CV
- A link to something you've built
- GitHub, notebook, project page, technical write-up or equivalent.
- A short note (max 200 words) describing one AI system you have built or studied.
- Previous medical-device or regulated-industry experience is not required.

We’re interested in what you’ve built, how you think, and how deeply you understand the systems you work with.

ComplyForge | AssuraQMS www.complyforgetech.com

📌 AI Engineering Intern (Bengaluru)
🏢 ComplyForge Technologies
📍 Bengaluru