AI Engineer

• Solves complex problems and help stakeholders make data-driven decisions by leveraging quantitative methods, such as machine learning
• Deep Learning Architect and train CNN/ViT models for classification, detection, segmentation, and OCR
• Build and optimize RNN/LSTM/GRU models for sequence learning, speech, or timeseries forecasting
• Research and implement transformer-based architectures bridging vision and language tasks
• Create scalable pipelines for data ingestion, annotation, augmentation, and synthetic data generation
• Design and implement multi-agent workflows using LangChain, LangGraph, CrewAI, or similar frameworks
• Develop role hierarchies, state graphs, and integrations that enable autonomous vision + language workflows
• Optimize agent systems for latency, cost, and reliability
• Fine-tune open-weight LLMs using LoRA/QLoRA, PEFT, or RLHF methods
• Develop RAG pipelines integrating vector databases (FAISS, Weaviate, pgvector)
• Combine LLM reasoning with CNN/RNN perception modules in multimodal systems
• Develop reproducible training workflows with PyTorch/TensorFlow and experiment tracking (W&B, MLflow)
• Deploy models with TorchServe, Triton, or KServe on cloud AI stacks (AWS Sagemaker, GCP Vertex, Kubernetes)
• Optimize inference with ONNX/TensorRT, quantization, and pruning for cloud and edge devices
• Build robust APIs/micro-services (FastAPI, gRPC) and ensure CI/CD, monitoring, and automated retraining

Senior AI Developer

Senior AI Engineer

Senior Gen AI Engineer

AI Engineer