Remote Agentic AI Scientist & LLM Architect

CAI; Indiana; Hybrid; USD 140,000 - 210,000; Full time

Job summary

CAI is seeking a Data Scientist - Agentic AI Developer to advance production‑ready ML, Generative AI, LLM, and Agentic AI solutions. Strong Python, Databricks, and AWS Bedrock experience are required. This is a full‑time remote role.

You will collaborate with business and tech stakeholders, build end‑to‑end multi‑step agent systems, and deploy secure, scalable AI services using modern frameworks. The position offers growth in a global services firm with a culture of excellence.

Qualifications

• 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 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 RAG, embeddings, vector databases, hybrid search, metadata filtering, re‑ranking, and query rewriting.

Responsibilities

• 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

Skills

Python

Pandas

NumPy

PySpark

SQL

Statistics

Prompt engineering

LLM applications

Databricks

AWS Bedrock

FastAPI

Docker

CI/CD

Tools

Databricks Apps

MLflow

Model Serving

Vector Search

Delta Lake

Unity Catalog

ECS

EKS

Docker

API Gateway

OpenSearch

Job description

CAI is seeking a Data Scientist - Agentic AI Developer to advance production‑ready ML, Generative AI, LLM, and Agentic AI solutions. Strong Python, Databricks, and AWS Bedrock experience are required. This is a full‑time remote role.

You will collaborate with business and tech stakeholders, build end‑to‑end multi‑step agent systems, and deploy secure, scalable AI services using modern frameworks. The position offers growth in a global services firm with a culture of excellence.