AI Developer **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 strong 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. **Job Description** **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 (888) 824 – 8111.