Req number R6260 Employment type Full time Worksite flexibility Remote Who we are CAI is a global technology services firm with over 8 500 associates worldwide and a yearly revenue of 1 billion We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities As a privately held company we have the freedom and focus to do what is right whatever it takes Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise Job Summary We re seeking an AI Developer with robust expertise in deep learning CNNs RNNs Transformers and hands-on experience in computer vision and sequence modeling You will drive the development of AI systems that integrate perception vision models reasoning LLMs and action multi-agent orchestration This role requires both research depth and production engineering rigor with end-to-end ownership of training scaling deployment and monitoring of AI systems This is a Full-time and Remote position What You ll Do Deep Learning Primary Focus 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 Agentic AI Multi-Agent Frameworks 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 LLM Fine-Tuning Retrieval-Augmented Generation RAG 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 MLOps Deployment at Scale 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 Collaboration Mentorship Translate business needs into scalable deep learning solutions Mentor junior engineers in CNNs RNNs and production ML practices Lead technical reviews and promote best practices across the team What You ll Need Minimum Qualifications B S M S in Computer Science Electrical Engineering Applied Math or related discipline 5 years building deep learning systems with CNNs and RNNs in production Strong Python skills and Git workflows Proven delivery of computer vision pipelines OCR classification detection Hands-on experience with LLM fine-tuning and multimodal AI Experience in containerization Docker and deployment on cloud AI platforms Knowledge of distributed training GPU acceleration and inference optimization Preferred Qualifications Research experience in transformer architectures ViTs hybrid CNN-RNNTransformer models Prior work in sequence modeling for speech or time-series data Contributions to open-source deep learning frameworks or vision sequence datasets Experience with edge AI deployment and hardware optimization Physical Demands This role involves mostly sedentary work with occasional movement around the office to attend meetings etc Ability to perform repetitive tasks on a computer using a mouse keyboard and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to application accommodations cai io or (phone hidden)

📌 Ai Developer (India)
🏢 CAI (Computer Aid
📍 India