AI Native Software Engineer - (100% Remote)
About The Position
Required Skills & Experience • 8–10+ years of software engineering experience • Strong experience with cloud-native systems (APIs, microservices, containers, serverless) • Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) • Proficiency in Python, Java, or similar backend languages • Experience with: ◦ CI/CD pipelines ◦ Infrastructure as code ◦ Monitoring and observability tools • Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar) AI Agent Engineering • Design and implement AI agents, including: ◦ Retrieval (RAG) ◦ Orchestration workflows ◦ Tool/function invocation ◦ Policy-based routing • Build evaluation frameworks for accuracy, latency, and reliability • Implement observability and monitoring for agent lifecycle. AI Platform Integration • Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models) • Build abstraction layers to support multi-model and multi-provider architectures • Optimize model usage for performance, cost, and latency Cloud-Native Development • Develop scalable services using: ◦ Microservices architecture ◦ Containers (Docker, Kubernetes) ◦ Serverless and event-driven patterns • Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm) • Ensure production readiness, logging, monitoring, and fault tolerance Application Development • Build and deploy AI-powered applications aligned to business workflows • Integrate AI systems into existing enterprise platforms and APIs • Develop backend services and APIs supporting agent workflows Testing & Performance • Define and execute test strategies for AI systems • Measure system performance (latency, throughput, accuracy, cost) • Debug and optimize production systems.
Requirements
- 8–10+ years of software engineering experience
- Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
- Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
- Proficiency in Python, Java, or similar backend languages
- Experience with: CI/CD pipelines, Infrastructure as code, Monitoring and observability tools
- Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
Responsibilities
- Design and implement AI agents, including: Retrieval (RAG), Orchestration workflows, Tool/function invocation, Policy-based routing
- Build evaluation frameworks for accuracy, latency, and reliability
- Implement observability and monitoring for agent lifecycle.
- Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
- Build abstraction layers to support multi-model and multi-provider architectures
- Optimize model usage for performance, cost, and latency
- Develop scalable services using: Microservices architecture, Containers (Docker, Kubernetes), Serverless and event-driven patterns
- Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)
- Ensure production readiness, logging, monitoring, and fault tolerance
- Build and deploy AI-powered applications aligned to business workflows
- Integrate AI systems into existing enterprise platforms and APIs
- Develop backend services and APIs supporting agent workflows
- Define and execute test strategies for AI systems
- Measure system performance (latency, throughput, accuracy, cost)
- Debug and optimize production systems.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
251-500 employees
