Innovative LLM Agent Engineer - Crafting Multi-Agent Solutions w AWS Precision
India - Remote
Expedite Commerce
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.
Requirements
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.
Benefits
- 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.
- Apply Now: Send us your resume and answer a few key questions about your experience and vision.
- Show Us Your Ingenuity: Be prepared to talk shop on your boldest AI solutions and how you overcame the toughest technical hurdles.
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS CI/CD Docker DynamoDB Generative AI Generative modeling Kinesis Lambda LLMs Machine Learning NLP Pipelines Research SageMaker Salesforce Step Functions Terraform
Perks/benefits: Career development Health care Insurance Transparency
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