contruent

contruent

AI Engineer

Naperville, Illinois, United States

Sponsorship not specifiedDetected 6 days ago
PythonFastAPIFlaskSQLVector DatabasesAWSCI/CDRESTMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData EngineeringData ScienceData VisualizationNLPLLMsRAGAgentic AIMLOpsAI OrchestrationForecasting

About the role

  • Integrate AI services into web and application layers (e.g., via REST APIs, LangChain, or Bedrock SDK).
  • Work with structured and unstructured data stored in AWS RDS, SQL Server, and other data sources.

Responsibilities

  • Partner with the Manager of Data Science & AI Engineering to scope and deliver AI-driven product features and internal tools.
  • Develop proof-of-concepts for natural language querying, document summarization, forecasting, and user experience enhancements using AI.
  • Collaborate with data engineering and analytics teams using tools like Power BI, QuickSight, and Python-based data pipelines.
  • Ensure responsible AI design, including model monitoring, bias testing, and performance validation.

Requirements

  • Required Skills & Experience
  • Practical experience with agentic AI
  • Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, LangChain, PyTorch, or TensorFlow).
  • Experience with AWS AI/ML ecosystem, including Bedrock, SageMaker, Lambda, and Step Functions.
  • Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic Claude, Amazon Titan, etc.).
  • Experience with SQL and data modeling using AWS RDS or SQL Server.
  • Familiarity with prompt engineering
  • Strong problem-solving skills, product mindset, and ability to translate ambiguous business requirements into deliverable AI solutions.

Nice to have

  • Experience deploying chatbots, retrieval-augmented generation (RAG), or embedding-based search.
  • Demonstrated experience in applying AI complex domains with large numbers of entities and relationships
  • Experience validating the performance of AI applications and incrementally improving accuracy
  • Knowledge of API integration and orchestration frameworks (FastAPI, Flask, or Streamlit).
  • Understanding of responsible AI principles and data governance best practices.
  • Experience integrating AI with BI or analytics dashboards for end-user insights.
  • Tech Stack You'll Work With

Skills

  • LangChain, Bedrock SDK, PyTorch, scikit-learn, Hugging Face Transformers
  • You'll Work With
  • Languages: Python, SQL, JSON
  • Cloud: AWS (Bedrock, SageMaker, Lambda, RDS, S3, Glue)
  • Databases: AWS RDS, SQL Server
  • Analytics: Power BI, QuickSight with Q
  • AI/ML Tools: LangChain, Bedrock SDK, PyTorch, scikit-learn, Hugging Face Transformers
  • AWS (Bedrock, SageMaker, Lambda, RDS, S3, Glue)
  • AWS RDS, SQL Server
  • Stay current with emerging technologies in AI (LLMs, vector databases, RAG architectures, and MLOps best practices).

Benefits

  • Design and implement machine learning and generative AI solutions using cloud services such as AWS Bedrock, SageMaker, and Amazon Q in QuickSight.
  • 3-5 years of experience as an AI Engineer, Data Scientist, or Machine Learning Engineer.
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