AI Developer

Req number:

Employment type:

Worksite flexibility:

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 are looking for an AI Developer with strong expertise in deep learning (CNNs, RNNs, Transformers) and hands-on experience in computer vision and sequence modelling. This position will be full-time and remote .

What You’ll Do

• Focus on 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

• Work with Agentic AI & Multi-Agent Framework

• 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 and 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

Required:

• 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:

• 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.