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Tech Talent InternationalPosted 1 month ago

Senior Software Developer Agentic Application Development

$100,000–$130,000 year

RemoteUnited States or Canada

Full TimeSenior LevelSmall

Job Summary

Architect, build, and maintain applications integrating autonomous agents and LLMs into end-to-end workflows, designing APIs and event-driven components for agent interaction. Pilot agent frameworks, orchestration layers, and multi-agent systems while automating repetitive tasks like code generation and testing. Define best practices for deploying agentic workflows, coach peers on prompt engineering and guardrails, and establish observability patterns with human-in-the-loop validation. Conduct architecture reviews to set high standards for design and code quality, mentoring developers on building AI-powered systems. Own the application lifecycle from prototyping to production deployment, optimizing for scalability and cost efficiency in cloud-native environments. Deliver resilient, secure, and adaptable services that accelerate human decision-making within a small, high-impact team focused on rapid iteration.

Required Qualifications

  • 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#) 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
  • Curiosity and creativity in exploring agentic workflows and autonomous development approaches
  • Strong communication skills and ability to collaborate across remote-first teams

Desired Qualifications

  • Experience with multi-agent frameworks, orchestration tools, or AI-powered application platforms
  • Knowledge of service-mesh, observability tooling, and policy-as-code
  • Familiarity with event-driven systems (Kafka, NATS) and domain-driven design
  • Exposure to safety, ethics, and compliance considerations in AI systems

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