Live opening · Posted 8 days ago
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🚀 We’re Hiring: AI Engineering Intern (R&D) | Haydr Compliance Platform
Location: Remote / Hybrid
Duration: 3 Months
Conversion: High-performing interns will be considered for a Full-Time AI / ML Engineer position upon successful completion of project.
About Haydr Technologies
At Haydr Technologies, we are building the No. 1 AI RegTech infrastructure for the world. The Haydr Compliance Platform is an end-to-end suite powering Customer Due Diligence (KYC/AML), Real-Time Transaction Screening and Automated Regulatory Tracking. We replace bloated, manual compliance processes and orchestrate fragmented AML compliance tools with ultra-intelligent, automated, real-time AI systems that empower businesses to stay audit-ready and compliant without operational friction.
The Role & Project Overview
We are looking for exceptional AI Engineering Interns from top-tier institutions (IITs, NITs, IIITs, and premier computer science programs) to tackle complex, production-oriented Research & Development (R&D) challenges.
During this 3-month high-impact internship, you will lead or co-own a specific R&D track directly integrated into the Haydr platform. This is not a task-runner role - you will design, benchmark, fine-tune and deploy intelligent agents and pipelines capable of processing unstructured legal texts, dynamic watchlist entities and high-throughput financial transactions in real time.
Key Responsibilities
R&D Pipeline Execution: Architect and evaluate advanced GenAI, LLM and Graph/Agentic workflows tailored to complex compliance logic (e.g., automated regulatory change detection, real-time AML alert prioritization, entity resolution).
Model Optimization & Fine-Tuning: Quantize, fine-tune and optimize open-source LLMs (LLaMA, Mistral, Qwen) for domain-specific NLP tasks involving complex legal and financial datasets.
Retrieval-Augmented Generation (RAG): Design multi-modal and hybrid (dense + sparse/graph) RAG architectures with strict hallucination limits and low latency.
Production Integration: Write clean, asynchronous Python backend services (FastAPI/gRPC) to ship model endpoints into scalable cloud environments.
Who We Are Looking For
We are targeting top-percentile problem solvers who are obsessed with building AI systems that work in the real world, not just in Jupyter Notebooks.
Qualifications & Prerequisites:
Academic Background: Currently pursuing a B.Tech, M.Tech, PhD or Dual Degree in Computer Science, Artificial Intelligence, Data Science, or related fields from top-tier engineering institutes (IITs, NITs, IIITs, BITS, CMI, etc.).
Demonstrated Technical Proof: You MUST be able to showcase real-world AI/ML projects (via GitHub, Hugging Face, research papers, or deployed demos).
Core Technical Stack:
Languages & Frameworks: Python, PyTorch/TensorFlow, FastAPI, Pydantic.
LLM & Agent Frameworks: LangChain, LlamaIndex, AutoGen, CrewAI, DSPy.
Vector Databases & Search: Qdrant, Milvus, Pinecone, FAISS, or pgvector.
Fine-tuning & Inference: Unsloth, vLLM, Ollama, Hugging Face transformers, PEFT/LoRA.
Data Engineering: Graph Databases (Neo4j), Pandas, NetworkX.
Problem-Solving Mindset: Ability to quickly digest academic papers (ArXiv), extract key methodologies, and implement them into functional code.
What You Will Get
Real World Experience: That money cannot buy – work on the leading edge of AI engineering for solving real-world problems across rapidly evolving domains of cross-border payments, stable coins, crypto, gaming etc.
High-Impact Portfolio: Direct ownership of core AI modules used in real enterprise compliance environments.
Mentorship: Work directly with lead engineers and founders building cutting-edge Fintech/Regtech tech stacks.
Pre-Placement Offer (PPO): Clear track to convert your 3-month internship into a high-growth full-time engineering role based on successful project completion.
Internship Stipend: For top-tier candidates – earn while you learn.
How to Apply
Ready to build the future of AI-driven compliance?
Send your Resume, along with links to your GitHub profile, Hugging Face, or best project demos, with the subject line: AI Intern Application - [Your Name] - [College Name] to hello@haydr.ae
Note: Submissions without verifiable code repos or working project links will not be reviewed.
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