LLM Agent Engineer

Summary

Join Rethem, a company revolutionizing sales with an AI-driven platform focused on buyer outcomes. We leverage advanced AI to provide real-time coaching, enhance efficiency, and align offerings with customer objectives. This role offers the opportunity to design, build, and deploy LLM agents using AWS services, collaborating with a forward-thinking team. You will build across ecosystems, leverage AI-first approaches, and leave a lasting impact on the technology and its user interaction. Rethem is seeking individuals with proven LLM and agent development experience, including expertise in multi-agent systems, inter-agent communication, and state management. The ideal candidate will also possess strong problem-solving skills, proficiency in AWS serverless technologies, and a collaborative team spirit.

Requirements

• Hands-on experience in developing and deploying LLM agents with advanced features (tool integration, contextual memory systems, feedback-driven learning)
• Demonstrated expertise in designing and implementing multi-agent systems
• Experience in building robust inter-agent communication protocols
• Skilled in designing systems for state transfer and context preservation across multiple agents
• Experience leveraging AWS Bedrock and related AWS services
• Familiarity with deploying agents in Docker containerized environments
• Keeps up with advancements in LLMs, experimenting with and implementing new techniques
• Thrives in a fast-paced environment by learning new methods and unlearning outdated practices
• Proficient in AWS services (Lambda, Step Functions, DynamoDB, S3, Kinesis)
• Experience in maintaining CI/CD pipelines using AWS tools (CodePipeline, CodeBuild, CodeDeploy)
• Experience in monitoring and optimizing deployment costs
• Thrives in an environment that encourages calculated experimentation
• Communicates effortlessly with diverse teams and client stakeholders

Responsibilities

• Design the entire development stack for LLM Agents
• Build, deploy, and continuously improve LLM Agents that solve real-world challenges and drive measurable outcomes
• Leverage AWS services (Container, Lambda, Bedrock) to create scalable, serverless solutions
• Collaborate with a leadership team and cross-functional teams to integrate LLM agents into AWS-driven infrastructures
• Design and deploy LLM Agents that scale across business lines, leveraging AWS tools (API Gateway, Step Functions, DynamoDB)
• Utilize cutting-edge generative models, AWS AI/ML services, and AI-powered IDEs to develop and deploy LLM Agents
• Influence the way people interact with AI by crafting enduring solutions

Preferred Qualifications

Familiarity with Terraform

Benefits

• Health Insurance
• PTO
• Leave time
• Ongoing paid professional training and certifications
• Fully Remote work Opportunity
• Strong Onboarding & Training programs