The client is looking to pioneer the next generation of agentic applications software systems that leverage autonomous agents, large language models, and adaptive workflows to augment and accelerate human decision-making.
Requirements
- 5+ years of experience building and shipping production software systems.
- Strong background in designing APIs, distributed systems, and event-driven architectures.
- Proficiency in at least one statically typed language (Go, Java, C-Sharp) and one scripting language (Python, TypeScript, Bash).
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
- Demonstrated use of AI/LLM tooling in professional or side projects.
- Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms.
- Knowledge of service-mesh, observability tooling, and policy-as-code.
Responsibilities
- Architect, build, and maintain applications that integrate autonomous agents and LLMs into end-to-end workflows.
- Design APIs, services, and event-driven components that allow agents to interact with systems, data, and users effectively.
- Ensure applications are resilient, secure, and adaptable in production environments.
- Pilot and integrate agent frameworks, orchestration layers, and multi-agent systems.
- Automate repetitive tasks including code generation, testing, monitoring, and documentation.
- Continuously evaluate and incorporate emerging AI tooling.
- Define and codify best practices for designing, deploying, and monitoring agentic workflows.
Other
- Coach peers on prompt engineering, guardrails, and safe deployment of autonomous agents.
- Set high standards for design, code quality, and testing.
- Conduct architecture reviews and mentor other developers in building AI-powered systems.
- Stay current with research and industry trends in autonomous agents and applied LLMs.
- Strong communication skills and ability to collaborate across remote-first teams.
