About Us
We are building an Intelligence Platform that combines Computer Vision, Agentic AI, Edge Computing, and Cloud Infrastructure to automate workforce monitoring, safety compliance, and operational intelligence for industrial enterprises. The platform processes hundreds of live CCTV streams, performs real-time analytics, and delivers actionable insights at enterprise scale.
We are looking for an exceptional engineer who can architect and build production-grade AI systems from the ground up.
Role Overview
As a Senior AI Engineer, you will design and build large-scale AI systems involving:
- Multi-camera Computer Vision
- Real-time Video Analytics
- Agentic AI Systems
- Edge AI Deployments
- Distributed Systems
- High-performance GPU Inference
- Cloud-native Infrastructure
This role is ideal for engineers who enjoy solving complex scaling problems and building cutting-edge AI products.
Key ResponsibilitiesComputer Vision & AI
- Design and develop real-time computer vision pipelines.
- Build object detection, tracking, and activity recognition systems.
- Develop person re-identification and face recognition pipelines.
- Deploy AI models optimized for GPU inference.
- Develop anomaly detection and predictive intelligence systems.
- Build multi-camera analytics and worker tracking systems.
- Implement temporal reasoning and event correlation engines.
Backend Engineering
- Design scalable microservices.
- Develop high-throughput APIs and streaming services.
- Build event-driven architectures.
- Design fault-tolerant distributed systems.
Infrastructure & MLOps
- Deploy AI systems using Kubernetes and Docker.
- Design GPU infrastructure for large-scale inference.
- Implement CI/CD pipelines.
- Build monitoring and observability systems.
- Optimize inference performance and latency.
Cloud & Edge Computing
- Build edge-first AI systems.
- Deploy AI workloads on on-premise GPU clusters.
- Design secure cloud synchronization systems.
- Build scalable multi-site enterprise platforms.
Required Technical SkillsProgramming Languages
- Python (Expert)
- Golang (Expert)
- TypeScript
- C++
- Bash/Shell Scripting
- SQL
AI & Machine Learning
- PyTorch
- TensorFlow
- TensorRT
- ONNX
- ONNX Runtime
- NVIDIA Triton Inference Server
- CUDA Programming
- Deep Learning
- Machine Learning
- Model Optimization
- Quantization
- Distributed Training
- Transfer Learning
Computer Vision
- OpenCV
- YOLOv8 / YOLOv11
- RTSP Stream Processing
- Video Analytics
- Multi-Camera Tracking
- Object Detection
- Object Tracking
- Face Recognition
- Person Re-identification (ReID)
- Activity Recognition
- Human Pose Estimation
- OCR
- Image Segmentation
- Video Processing
- Edge AI Inference
Computer Vision Frameworks & Models
- InsightFace
- ArcFace
- FastReID
- OSNet
- ByteTrack
- DeepSORT
- VideoMAE
- SlowFast
- NVIDIA DeepStream SDK
- FFmpeg
- GStreamer
Backend & Distributed Systems
- Microservices Architecture
- Event-Driven Architecture
- Apache Kafka
- Redis
- PostgreSQL
- MongoDB
- RabbitMQ
- gRPC
- REST APIs
- GraphQL
- WebSockets
- MQTT
- Async Programming
- High Concurrency Systems
- Message Queues
Cloud & Infrastructure
- Docker
- Kubernetes
- Helm
- Terraform
- Linux
- Ubuntu
- GPU Clusters
- AWS
- Azure
- Google Cloud Platform
- Edge Computing
- Distributed Storage
- Networking
- Load Balancing
MLOps & DevOps
- MLflow
- DVC
- Git
- GitHub Actions
- Jenkins
- CI/CD Pipelines
- Model Deployment
- Model Monitoring
- Containerization
- Infrastructure as Code
Databases & Storage
- PostgreSQL
- Redis
- MinIO
- Amazon S3
- Time-Series Databases
- Data Lakes
Monitoring & Observability
- Prometheus
- Grafana
- Jaeger
- ELK Stack
- OpenTelemetry
- Logging & Tracing
Security
- TLS
- RBAC
- Authentication & Authorization
- API Security
- Data Encryption
- GDPR Compliance
- PII Masking
- Secure Infrastructure Design
Additional Skills (Highly Preferred)
- Agentic AI Systems
- LLM Integration
- LangChain
- AI Agents
- RAG Systems
- Multi-Agent Systems
- Generative AI
- Industrial IoT
- Predictive Analytics
- Reinforcement Learning
- Real-Time Analytics
- Autonomous Systems
- Time-Series Analysis
Qualifications
- Bachelor's or Master's degree in:
- Computer Science
- Artificial Intelligence
- Electronics Engineering
- Data Science
- Related Field
Preferred Experience
- 5+ years in Software Engineering.
- 4+ years in AI/ML Engineering.
- 3+ years in Computer Vision.
- Experience handling:
- 1000+ camera streams
- GPU inference systems
- Distributed architectures
- Enterprise SaaS platforms
- Production AI deployments.
What You'll Build
- AI-powered workforce intelligence platform.
- Real-time safety monitoring systems.
- Multi-camera worker tracking.
- Activity recognition engine.
- Enterprise analytics platform.
- Edge AI infrastructure.
- Agentic reasoning engine.
Pay: ₹1,200,000.00 - ₹1,500,000.00 per year
Benefits:
- Flexible schedule
- Paid sick time
- Provident Fund
Work Location: In person
