Data Scientist

Data Scientist Req number: R7743 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 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 a motivated Data Scientist ready to take us to the next level! If you have designing, developing, and deploying state-of-the-art agentic systems, automation solutions, and generative AI applications to enable autonomous decision-making and optimize business processes and are looking for your next career move, apply now.

Job Description

We are looking for a Data Scientist to design cutting-edge AI solutions and autonomous systems focused on agentic workflows and generative AI technologies. This position will be full-time and remote. What You’ll Do Design, develop, and deploy multi-agent systems and agentic applications using frameworks like AutoGen, LangGraph, CrewAI, or similar Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration Develop automation solutions using OpenAPI standards for integration with enterprise systems Create self-healing, adaptive workflows that optimize business processes autonomously Use ML, deep learning, and Generative AI tools to design, evangelize, and implement state-of-the-art solutions Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using proprietary or open-source models Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions Work closely with internal teams to integrate RAG workflows, agent-based systems, and automation frameworks into applications Design and implement architectural solutions for Information Retrieval using RAG, Vector DBs, and Knowledge Graphs Work with public cloud (AWS) and on-premises infrastructure for deploying LLMs, agents, and orchestration systems Evaluate, build, and fine-tune ML models and LLMs to solve complex business problems Stay abreast of latest developments in agentic AI, autonomous systems, language models, and generative AI technologies. What You'll Need Required: BE, Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience 4-8 years of overall technical experience with 2 years of hands-on experience in Generative AI and LLM technologies 1+ years of experience building agentic systems, workflow automation, or autonomous AI applications Deep hands-on experience with agentic frameworks (AutoGen, LangGraph, CrewAI, Agency Swarm, or similar) Strong knowledge of workflow orchestration tools and patterns (Temporal, Airflow, Prefect, or similar) Expertise in OpenAPI standards, Agent-to-Agent (A2A) protocols, and Model Context Protocol (MCP) Experience designing multi-agent architectures with memory, planning, and tool-use capabilities Knowledge of agent evaluation, testing frameworks, and observability patterns Proven track record of deploying and optimizing LLM models for inference in production environments Extensive experience with LLM orchestration frameworks (LangChain, LlamaIndex required) Hands-on experience with Amazon Bedrock, SageMaker JumpStart, and other cloud-based LLM platforms Expertise in RAG architectures, Fine-tuning techniques, and Prompt Engineering Deep understanding of Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB) and Knowledge Graphs Expert in NLP techniques and deep learning libraries (Transformer models, LSTM, BiLSTM, CNN, BERT, GPT, T5) Proficiency with ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn Strong programming skills in Python (required), plus JavaScript/TypeScript or Node.js Deep understanding of data structures, algorithms, and system design patterns Hands-on experience in MLOps/LLMOps including data pipelines, model training/refinement, validation, drift management, and serving Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML systems Knowledge of monitoring, logging, and observability tools for production AI systems. Preferred: Experience with function calling, tool use, and external API integration in agent systems Knowledge of reinforcement learning and agent training methodologies Familiarity with semantic reasoning, planning algorithms (ReAct, Chain-of-Thought, Tree-of-Thoughts) Experience with graph databases (Neo4j, Neptune) and ontology design Contributions to open-source AI/ML projects Publications or patents in AI/ML domain Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc Ability to conduct repetitive tasks on a computer, utilizing 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 [email protected] or (888) 824 – 8111. Apply To This Job