AI Developer

We are looking for an experienced AI Developer to build an intelligent identity verification platform that combines computer vision, document verification, facial recognition, and AI assistants.

Responsibilities
- Build facial recognition and face matching systems
- Implement identity verification (KYC)
- Develop document verification using OCR and computer vision
- Detect fake IDs, tampered documents, and deepfakes
- Build liveness detection (selfie verification)
- Develop AI-powered user assistants
- Build AI agents that can answer questions and automate workflows
- Integrate LLMs (OpenAI, Claude, Gemini, etc.)
- Design scalable APIs and AI microservices
- Deploy production-ready AI solutions

Required Skills
- AI / Machine Learning
- Python
- PyTorch
- TensorFlow
- OpenCV
- Scikit-learn

Computer Vision
- Face Recognition
- Face Embeddings
- RetinaFace
- ArcFace
- InsightFace
- YOLO
- OCR
- Image Processing
- Liveness Detection
- Deepfake Detection


Identity Verification
- Document Verification
- Passport Verification
- Driver's License Verification
- National ID Verification
- KYC / AML
- Biometric Authentication
- Fraud Detection

AI / LLM
- OpenAI API
- Claude API
- Gemini API
- LangChain
- LangGraph
- CrewAI
- MCP
- RAG
- Prompt Engineering

Backend
- FastAPI
- Flask
- REST API
- Docker
- PostgreSQL
- Redis
- Cloud
- AWS
- Azure
- GCP

Nice to Have
- Experience building fintech or KYC platforms
- Experience with biometric authentication
- Experience with AI agents
- Multi-agent systems
- Vector databases (Pinecone, Weaviate, FAISS)
- Kubernetes
- CI/CD

Ideal Experience
Please provide examples of projects involving:
- Facial recognition
- Identity verification
- Document verification
- OCR
- AI agents
- LLM applications
- Fraud detection
- Computer vision
- Production AI deployments

To be considered for interview, please answer the following questions:
1. Describe your largest facial recognition project.
2. Have you built an identity verification or KYC system?
3. Which facial recognition models have you used? (ArcFace, InsightFace, FaceNet, etc.)
4. Have you implemented liveness detection?
5. Have you built document verification using OCR?
6. Which OCR libraries have you used?
7. Have you integrated OpenAI, Claude, or Gemini APIs?
8. Have you built AI agents using LangGraph, CrewAI, AutoGen, or LangChain?
9. Have you deployed AI models to production?
10. Please provide GitHub, portfolio, or live demos.