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

Description:

• This role is for individuals eager to innovate and redefine AI solutions by developing and fine-tuning large language model (LLM) agents.
• The position involves crafting next-generation LLM agent solutions using AWS technologies such as SageMaker, Bedrock, Lambda, Step Functions, DynamoDB, and Kinesis.
• Responsibilities include enabling seamless inter-agent communication, state transfer, and memory handling while collaborating with a creative team.
• The role emphasizes designing impactful LLM agents that tackle real-world challenges and drive measurable outcomes.
• Candidates will work closely with a leadership team that values experimentation, continuous learning, and radical transparency.
• The position requires designing and deploying LLM agents that scale across business lines and integrate seamlessly into diverse products and services.
• The role aims to influence how people interact with AI and shape the future of agent-based design across multiple verticals.

Requirements:

• Candidates must have hands-on experience in developing and deploying LLM agents with advanced features like tool integration and contextual memory systems.
• Demonstrated expertise in designing and implementing multi-agent systems is required.
• Experience in building robust inter-agent communication protocols is essential.
• Candidates should be skilled in designing systems for state transfer and context preservation across multiple agents.
• Proficiency in leveraging AWS Bedrock and related AWS services to build efficient and scalable solutions is necessary.
• Familiarity with deploying agents in Docker containerized environments and adhering to best practices is required.
• A research-oriented mindset is needed to keep up with advancements in LLMs and implement new techniques.
• Proficiency in AWS services such as Lambda, Step Functions, DynamoDB, S3, and Kinesis is required for building event-driven solutions.
• Experience in maintaining CI/CD pipelines using AWS tools and familiarity with Terraform is a plus.
• Candidates should thrive in an environment that encourages calculated experimentation and embrace occasional failures as learning opportunities.
• Strong communication skills to collaborate with diverse teams and client stakeholders are essential.

Benefits:

• The position offers health insurance, paid time off (PTO), and leave time.
• Ongoing paid professional training and certifications are provided.
• There is a fully remote work opportunity available.
• A strong onboarding and training program is included to support new hires.