Data Scientist Agentic AI Developer

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CAI is a global services firm with over 9000 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 rightwhatever 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

Job Description

We are looking for a Data Scientist - Agentic AI Developer to develop deploy and monitor production-ready machine learning Generative AI LLM RAG and Agentic AI solutions. This position will be full-time and remote.

What Youll Do

• Partner with business and technical stakeholders to define problems success metrics KPIs constraints and solution approaches
• Perform data sourcing exploratory data analysis statistical analysis feature engineering data-quality checks and hypothesis testing
• Build and evaluate machine learning deep learning time-series anomaly-detection recommendation and optimization models
• Develop production-ready LLM RAG and Agentic AI applications using LangGraph LangChain Amazon Bedrock Agents or similar frameworks
• Design multi-step and multi-agent workflows involving tool calling state and memory management human-in-the-loop approvals retries fallbacks tracing and MCP integrations
• Build secure and scalable AI solutions using Databricks Apps MLflow Model Serving Vector Search Workflows Delta Lake and Unity Catalog
• Develop applications on Amazon Bedrock using foundation models Knowledge Bases Agents Guardrails prompt management and model evaluation
• Design advanced RAG pipelines involving hybrid retrieval metadata filtering re-ranking query rewriting embeddings vector databases and retrieval evaluation
• Build NLP solutions for text classification named entity recognition information extraction semantic search and document summarization
• Develop computer vision solutions for classification object detection segmentation OCR and visual defect inspection
• Fine-tune LLMs embedding models and vision models using LoRA QLoRA PEFT and Hugging Face frameworks
• Develop and deploy AI services using FastAPI REST APIs Docker Lambda API Gateway ECS EKS and CI/CD pipelines
• Monitor model performance drift quality latency reliability and cost
• Conduct error analysis model evaluation and continuous improvement based on technical and business metrics
• Communicate technical findings trade-offs risks and recommendations to business and engineering stakeholders

What Youll Need

Required:

• 6 to 8 years of Data Science experience including at least 3 years of hands-on Generative AI experience
• At least 5 years of advanced Python development experience
• Strong expertise in Python Pandas NumPy PySpark SQL and object-oriented programming
• Strong foundations in statistics probability machine learning deep learning hypothesis testing and model evaluation
• Hands-on experience with Scikit-learn XGBoost LightGBM and PyTorch or TensorFlow
• Experience building models and AI applications from first principles rather than relying only on AutoML or pre-built components
• Hands-on experience building LLM applications using Claude through Amazon Bedrock or other foundation models
• Strong understanding of prompt engineering structured outputs function and tool calling context management caching and LLM evaluation
• Proven experience building at least one end-to-end multi-step or multi-agent system
• Experience with agent tool design state and memory management human-in-the-loop workflows retries fallbacks evaluation tracing and MCP
• Experience with RAG embeddings vector databases hybrid search metadata filtering re-ranking and query rewriting
• Knowledge of retrieval evaluation metrics including MRR and nDCG
• Hands-on experience with Databricks Apps MLflow Model Serving Vector Search Workflows Delta Lake and Unity Catalog
• Hands-on experience with AWS Bedrock S3 IAM Lambda API Gateway OpenSearch SageMaker and CloudWatch
• Experience with FastAPI REST APIs Git Docker automated testing CI/CD and Infrastructure as Code
• Experience deploying and monitoring production-ready machine learning and Generative AI solutions
• Strong stakeholder communication skills and the ability to explain technical trade-offs to business and engineering teams

Preferred:

• Experience developing NLP solutions including text classification named entity recognition information extraction semantic search and document summarization
• Experience developing computer vision solutions including classification object detection segmentation OCR and visual defect inspection
• Experience fine-tuning LLMs embedding models or vision models using LoRA QLoRA PEFT or Hugging Face
• Experience deploying containerized AI services using ECS or EKS
• Experience working on enterprise-scale AI solutions in manufacturing industrial engineering or supply chain environments

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 or (888).