Job Information
CAI AI Developer in REMOTE, India
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 are seeking a motivated AI Developer to join our team. As an AI Developer you will play a crucial role in development of AI systems that integrate perception (vision models), reasoning (LLMs), and action (multi-agent orchestration). This position will be full-time and Hybrid.
Job Description
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 F ull-t ime and Hybrid.
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.