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Innovative LLM Agent Engineer - Crafting Multi-Agent Solutions w AWS Precision

This Is No Ordinary Role. This Is No Ordinary Code.

This is for individuals eager to make their mark—those who’ve built innovative LLM agents, engineered seamless multi-agent systems, and are driven to redefine what’s possible in an AI-first, high-growth environment.

What if YOU could develop and fine-tune large language model (LLM) agents that transform entire businesses?

What if you could craft next-generation LLM agent solutions using AWS technologies like SageMaker, Bedrock, Lambda, Step Functions, DynamoDB, and Kinesis? Leverage these tools for real-time data insights, enabling seamless inter-agent communication, state transfer, and memory handling—all while collaborating with a team driven by bold risks, creativity, and user-centric innovation. Shape the future of AI with scalable, serverless, multi-agent systems?

Sounds exciting?
Maybe you’re ready to leap in with both feet. But before you do, ask yourself:

  • Are you truly an innovator, unafraid to break apart old assumptions and design AI solutions that challenge the norm?
  • Are you user-obsessed, building experiences that delight while driving business growth?
  • Can you think differently—and code differently—using the latest research in NLP and generative AI to amplify results?
  • Do you embrace calculated risks, learning and adapting from each iteration?
  • Are you hungry to leave a legacy—not just for one product, but for a growing ecosystem of AI-powered transformations?

About Us

We’re a forward-thinking team on a mission to reshape how businesses leverage AI. Our approach is laser-focused on creating transformative NLP solutions, harnessing the power of LLMs, and optimizing them with AWS Sagemaker, Bedrock, and beyond. We don’t just design models—we build experiences and ecosystems that redefine user interactions and business processes.

Why This Role Is Different

Design Your Impact
Don’t just fine-tune a model—own the entire development stack. Conceptualize, build, deploy, and continuously improve LLM Agents that tackle real-world challenges and drive measurable outcomes. Leverage AWS services such as Container, Lambda, and Bedrock to create scalable, serverless solutions, enabling agents to operate with precision and reliability.

Collaborate to Innovate
Work side-by-side with a forward-thinking leadership team that values experimentation, continuous learning, and radical transparency. Collaborate with cross-functional teams to integrate LLM agents into AWS-driven infrastructures, fostering innovative approaches to problem-solving while maintaining a customer-first perspective. We want your bold ideas and your willingness to challenge our assumptions.

Build Across Ecosystems
.Design and deploy LLM Agents that scale across business lines, leveraging AWS tools like API Gateway, Step Functions, and DynamoDB for seamless integration into diverse products, services,

Leverage AI First
Utilize cutting-edge generative models, AWS AI/ML services, and AI-powered IDEs to develop and deploy LLM Agents, optimizing performance, scalability, and real-time application outcomes.

Leave a Legacy
Influence not just the technology stack, but the very way people interact with AI. You’ll help craft solutions that endure, shaping the next wave of agent-based design across multiple verticals.

Proven LLM & Agent Development

  • Agent Building Expertise: Hands-on experience in developing and deploying LLM agents with advanced features like tool integration, contextual memory systems, and feedback-driven learning using a custom agent framework.
  • Multi-Agent Solutions: Demonstrated expertise in designing and implementing multi-agent systems, enabling agents to collaborate and solve complex tasks efficiently.
  • Inter-Agent Communication: Experience in building robust inter-agent communication protocols to ensure seamless coordination between multiple agents.
  • State Management: Skilled in designing systems for state transfer and context preservation across multiple agents, ensuring consistent and accurate task execution.
  • AWS Bedrock Experience: Experience leveraging AWS Bedrock and related AWS services to build efficient and scalable solutions.
  • Containerized Deployments: Familiarity with deploying agents in Docker containerized environments and adhering to best practices.

Innovative Problem-Solving

  • Research Orientation: Keeps up with advancements in LLMs, experimenting with and implementing new techniques to solve real-world challenges.
  • Adaptability: Thrives in a fast-paced environment by learning new methods and unlearning outdated practices.

AWS Serverless Scalable Design

  • Serverless Proficiency: Proficient in AWS services such as Lambda, Step Functions, DynamoDB, S3, and Kinesis to build event-driven solution stack.
  • CI/CD Practices: Experience in  maintaining CI/CD pipelines using AWS tools like CodePipeline, CodeBuild, and CodeDeploy. Familiarity with Terraform is a plus.
  • Cost Monitoring & Optimization: Experience in monitoring and optimizing deployment costs, with a focus on identifying inefficiencies and implementing resource-saving strategies.

Culture Fit

  • Bold Risk-Taking: You thrive in an environment that encourages calculated experimentation and embraces occasional failures as opportunities to learn.
  • Team Collaboration: You communicate effortlessly with diverse teams and client stakeholders, championing clarity, empathy, and knowledge-sharing.
  • Health Insurance, PTO, and Leave time
  • Ongoing paid professional training and certifications 
  • Fully Remote work Opportunity
  • Strong Onboarding & Training program

Work Timings - 1 pm -10 pm IST

Next Steps

We’re looking for someone who already embodies the spirit of a boundary-breaking AI Architect—someone who’s ready to own ambitious projects and push the boundaries of what LLMs can do.

  1. Apply Now: Send us your resume and answer a few key questions about your experience and vision.
  2. Show Us Your Ingenuity: Be prepared to talk shop on your boldest AI solutions and how you overcame the toughest technical hurdles.
  3. Collaborate & Ideate: If selected, you’ll workshop a real-world scenario with our team—so we can see firsthand how your mind works.

This is your chance to leave a mark on the future of AI—one LLM agent at a time. We’re excited to hear from you!

Our Belief

We believe extraordinary things happen when technology and human creativity unite. By empowering teams with generative AI, we free them to focus on meaningful relationships, innovative solutions, and real impact. It’s more than just code—it’s about sparking a revolution in how people interact with information, solve problems, and propel businesses forward.

If this resonates with you—if you’re driven, daring, and ready to build the next wave of AI innovation—then let’s do this. Apply now and help us shape the future.

About Expedite Commerce

At Expedite Commerce, we believe that people achieve their best when technology enables them to build relationships and explore new ideas. So we build systems that free you up to focus on your customers and drive innovations. We have a great commerce platform that changes the way you do business!

See more about us at expeditecommerce.com. You can also read about us on https://www.g2.com/products/expedite-commerce/reviews, and on Salesforce Appexchange/ExpediteCommerce.

EEO Statement

All qualified applicants to Expedite Commerce are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status or any other protected characteristic.

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What You Should Know About Innovative LLM Agent Engineer - Crafting Multi-Agent Solutions w AWS Precision, Expedite Commerce

Are you ready to take the leap into the world of cutting-edge AI? Expedite Commerce is looking for an Innovative LLM Agent Engineer! This pivotal role isn’t just about writing code; it’s about transforming the way businesses operate through the power of large language models (LLMs). Those of you with a knack for engineering multi-agent solutions will thrive in this dynamic environment, tapping into AWS technologies like SageMaker, Bedrock, and Lambda to create seamless, scalable systems. Imagine developing LLM agents that not only solve complex problems but also enhance user experiences across various business sectors. You will collaborate with a vibrant team that values creativity and encourages you to think outside the box, empowering you to make bold decisions and learn from them. You’ll own the complete development process—making changes in real-time while utilizing advanced capabilities like state management, inter-agent communication, and feedback-driven learning. At Expedite Commerce, we’re not just looking for the next developer; we want innovators who are passionate about leveraging the latest in NLP and generative AI research. If you’re ready to leave a legacy in the AI landscape, crafting powerful solutions that engage users and drive growth, this is the opportunity you’ve been waiting for. Dive in and let’s redefine what’s possible together at Expedite Commerce!

Frequently Asked Questions (FAQs) for Innovative LLM Agent Engineer - Crafting Multi-Agent Solutions w AWS Precision Role at Expedite Commerce
What are the primary responsibilities of the Innovative LLM Agent Engineer at Expedite Commerce?

As an Innovative LLM Agent Engineer at Expedite Commerce, your main responsibilities will include conceptualizing and developing innovative large language model (LLM) agents that tackle real-world challenges. You’ll leverage AWS technologies such as SageMaker, Bedrock, and Lambda to build scalable multi-agent systems, ensuring seamless inter-agent communication and effective state transfer. You will also engage in continuous improvement practices to enhance agent performance based on real-time feedback and insights from users.

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What qualifications do I need to apply for the Innovative LLM Agent Engineer position at Expedite Commerce?

To excel as an Innovative LLM Agent Engineer at Expedite Commerce, you should possess proven experience in developing and deploying LLM agents, specifically with advanced features like contextual memory systems and tool integration. A strong proficiency in AWS services such as Lambda and DynamoDB is essential, as is a familiarization with serverless architecture and CI/CD practices. Moreover, adaptability, innovative thinking, and a deep understanding of NLP and generative AI are also critical to your success in this role.

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What is the work culture like at Expedite Commerce for the Innovative LLM Agent Engineer role?

At Expedite Commerce, the work culture is built on bold risk-taking, collaboration, and continuous learning. As an Innovative LLM Agent Engineer, you will thrive in an environment that encourages calculated experimentation, embraces diversity in collaboration, and promotes transparency. Your unique ideas will be welcomed, and you’ll have the opportunity to work alongside cross-functional teams, championing a customer-first perspective as you innovate AI solutions.

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How does Expedite Commerce support professional development for Innovative LLM Agent Engineers?

Expedite Commerce is committed to your professional development, offering ongoing paid training and certifications tailored to your growth. As an Innovative LLM Agent Engineer, you’ll have access to resources that not only improve your technical skills but also enhance your understanding of the evolving landscape of AI and machine learning. This commitment helps ensure you stay at the forefront of industry advancements, enabling you to contribute more effectively to our innovative projects.

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What is the application process for the Innovative LLM Agent Engineer position at Expedite Commerce?

To apply for the Innovative LLM Agent Engineer position at Expedite Commerce, you will need to submit your resume along with responses to a few key questions about your relevant experience and vision for the role. If selected, you’ll participate in a workshop scenario with our team to demonstrate how you tackle real-world AI challenges. We value innovative thinking and want to see your problem-solving skills in action!

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Common Interview Questions for Innovative LLM Agent Engineer - Crafting Multi-Agent Solutions w AWS Precision
Can you describe your experience in developing large language model agents?

When answering this question, focus on specific projects you’ve worked on, the challenges you faced, and the impact of your solutions. Highlight your expertise in handling multi-agent systems and the tools you used, such as AWS services. Providing quantifiable results and practical examples will enhance your credibility.

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How do you ensure effective inter-agent communication in your implementations?

Discuss the protocols and frameworks you've used to promote seamless communication among agents. Elaborate on how you facilitate state transfer and context awareness to ensure consistent interactions, and provide concrete examples of systems you’ve designed that exemplify these principles.

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What challenges have you faced when integrating LLMs into existing business processes?

When discussing this, focus on advanced features like context awareness, feedback loops, or user-centric design. Highlight specific examples where these features led to improved outcomes, and explain the rationale behind your design choices.

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What role does user feedback play in your development process?

User feedback is crucial in the iterative development process. Talk about how you collect and analyze feedback, and how it informs enhancements in agent functionalities. Provide examples that showcase how user insights led to tangible improvements in your projects.

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Can you discuss your familiarity with AWS services relevant to this role?

Elaborate on your knowledge of AWS services like Lambda, Step Functions, and DynamoDB. Share specific projects where you utilized these services, explaining how they contributed to building scalable, serverless solutions for LLM agents.

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How do you stay updated with the latest advancements in AI and NLP?

Discuss your approach to continuous learning, including resources like research papers, online courses, and community engagement. Sharing insights into your strategies for staying ahead of trends in AI and NLP will demonstrate your commitment to professional growth.

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How do you prioritize your tasks when working on multiple projects?

Your response should illustrate your time management skills and ability to adapt to shifting priorities. Mention techniques like task list management or sprint planning, and provide an example of a time you effectively balanced multiple projects.

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Can you give an example where you took a bold risk in your work?

Share a story where a calculated risk led to an innovative solution. Explain the context, your thought process behind the decision, and the resulting impact, emphasizing your ability to adapt and learn from experiences.

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What steps do you take to optimize the performance and scalability of your LLM agents?

Discuss your strategic approach to optimizing performance, including code optimization, resource management, and leveraging AWS tools. Highlight specific techniques you've implemented that resulted in measurable improvements in scalability.

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Full-time, remote
DATE POSTED
January 26, 2025

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