AI Engineer with Python Must have Python AWS Bedrock AgentCore

LTM

$120K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science or related fields
  • 10 years of software engineering experience
  • 1 year experience in Generative AI or Agentic AI solutions
  • Strong expertise in Python and AWS (specifically Bedrock and AgentCore)
  • AWS certifications are preferred

Responsibilities

  • Design, develop, and deploy AI GenAI solutions using AWS Bedrock and AgentCore
  • Develop scalable backend services and AI workflows with Python
  • Implement RAG architectures using vector databases and enterprise knowledge sources
  • Integrate foundation models (e.g., Claude, Nova, Llama) through AWS Bedrock
  • Develop prompt engineering tools and manage agent orchestration
  • Collaborate with business stakeholders to create AI-driven solutions
  • Optimize performance, latency, scalability, and cost of models
  • Implement monitoring, observability, security, and governance controls for AI applications

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunity to work with cutting-edge AI technologies
  • Roles focused on innovation in AI applications
  • Potential for professional development in AI and cloud technologies
  • Onsite work location in Hartford, CT, fostering direct team interaction
Full Job Description
Role description

AI Engineer with Python Skill Must have Python AWS Bedrock AgentCore

Good to have Databricks

Client Travelers

Location Hartford CT Onsite

We are seeking skilled AI Engineer with strong expertise in Python and AWS Bedrock AgentCore to design develop and deploy AI Agent solutions The ideal candidate will have experience building agentic AI applications integrating foundation models developing APIs and implementing scalable AI architectures on AWS

The role involves working closely with product data engineering and business teams to build intelligent assistants autonomous agents RAG solutions workflow automation capabilities and AIpowered business applications

Key Responsibilities

Design develop and deploy AIGenAI solutions using AWS Bedrock and AWS Bedrock AgentCore

Develop scalable backend services and AI workflows using Python

Implement Retrieval Augmented Generation RAG architectures using vector databases and enterprise knowledge sources

Integrate Foundation Models Claude Nova Llama etc through AWS Bedrock

Develop prompt engineering toolcalling memory management and agent orchestration capabilities

Collaborate with business stakeholders to translate requirements into AIdriven solutions

Optimize model performance latency scalability and cost

Implement monitoring observability security and governance controls for AI applications

Participate in architecture reviews code reviews and production deployments

Preferred Qualifications

Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or related field

10 years of software engineering experience

1 years of experience building Generative AI or Agentic AI solutions

AWS certifications are highly desirable

Experience working in Insurance Financial Services or Enterprise Data Platforms is a plus"

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